Downloads & Free Reading Options - Results

Learning Python by Mark Lutz

Read "Learning Python" by Mark Lutz through these free online access and download options.

Search for Downloads

Search by Title or Author

Books Results

Source: The Internet Archive

The internet Archive Search Results

Available books for downloads and borrow from The internet Archive

1Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (27 - Hierarchical Clustering)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (27 - Hierarchical Clustering)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (27 - Hierarchical Clustering)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (27 - Hierarchical Clustering)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (27 - Hierarchical Clustering)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 153.82 Mbs, the file-s for this book were downloaded 55 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - HTML - Item Tile - MPEG4 - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - Thumbnail - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (27 - Hierarchical Clustering) at online marketplaces:


2How To Think Like A Computer Scientist: Learning With Python 3

By

The official online book is at  http://openbookproject.net/thinkcs/python/english3e/

“How To Think Like A Computer Scientist: Learning With Python 3” Metadata:

  • Title: ➤  How To Think Like A Computer Scientist: Learning With Python 3
  • Author: ➤  
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 201.82 Mbs, the file-s went public at Fri Jul 18 2025.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find How To Think Like A Computer Scientist: Learning With Python 3 at online marketplaces:


3Deep Learning De A A La Z - Redes Neuronales En Python Desde Cero (2020)(Udemy)

Deep Learning de A a la  Z - Redes Neuronales en Python desde Cero (2020)(Udemy)

“Deep Learning De A A La Z - Redes Neuronales En Python Desde Cero (2020)(Udemy)” Metadata:

  • Title: ➤  Deep Learning De A A La Z - Redes Neuronales En Python Desde Cero (2020)(Udemy)

“Deep Learning De A A La Z - Redes Neuronales En Python Desde Cero (2020)(Udemy)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 15096.79 Mbs, the file-s for this book were downloaded 634 times, the file-s went public at Tue Jun 22 2021.

Available formats:
Archive BitTorrent - HTML - Item Tile - JPEG - JPEG Thumb - MPEG4 - Metadata - SubRip - Thumbnail -

Related Links:

Online Marketplaces

Find Deep Learning De A A La Z - Redes Neuronales En Python Desde Cero (2020)(Udemy) at online marketplaces:


4How To Think Like A Computer Scientist Learning Python

By

How To Think Like A Computer Scientist Learning Python

“How To Think Like A Computer Scientist Learning Python” Metadata:

  • Title: ➤  How To Think Like A Computer Scientist Learning Python
  • Author:
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 92.29 Mbs, the file-s for this book were downloaded 47 times, the file-s went public at Wed Oct 04 2023.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find How To Think Like A Computer Scientist Learning Python at online marketplaces:


5Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 139.11 Mbs, the file-s for this book were downloaded 38 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (38 - Part 9 Dimensionality Reduction) at online marketplaces:


6"How Learning Python Helped Me Teach C In Tertiary Education" - Shrey Somaiya (PyConline AU 2020)

By

Shrey Somaiya https://2020.pycon.org.au/program/73HFNJ This talk is simply one about my experience of learning C from a python background - what python features helped me understand C better (control flow, algorithm and problem breakdown design, functions, etc) - what C features helped me understand python better (ie pointers in C helped me understand python lists, etc) - how I use my python knowledge to teach C at University python, pycon, australia, programming, conference, technical, pyconline, developers, panel, sessions, libraries, frameworks, community, sysadmins, students, education, data, science PyCon AU is the national conference for the Python programming community, bringing together professional, student and enthusiast developers, sysadmins and operations folk, students, educators, scientists, statisticians, and many others besides, all with a love for working with Python. PyCon AU informs the country's Python developers with presentations, tutorials and panel sessions by experts and core developers of Python, as well as the libraries and frameworks that they rely on. PyCon AU is the national conference for the Python programming community, bringing together professional, student and enthusiast developers, sysadmins and operations folk, students, educators, scientists, statisticians, and many others besides, all with a love for working with Python. PyCon AU informs the country's Python developers with presentations, tutorials and panel sessions by experts and core developers of Python, as well as the libraries and frameworks that they rely on. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Python, PyCon, PyConAU, PyConline Fri Sep 4 10:25:00 2020 at Floperator

“"How Learning Python Helped Me Teach C In Tertiary Education" - Shrey Somaiya (PyConline AU 2020)” Metadata:

  • Title: ➤  "How Learning Python Helped Me Teach C In Tertiary Education" - Shrey Somaiya (PyConline AU 2020)
  • Author:
  • Language: English

“"How Learning Python Helped Me Teach C In Tertiary Education" - Shrey Somaiya (PyConline AU 2020)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 457.05 Mbs, the file-s for this book were downloaded 66 times, the file-s went public at Sat Sep 12 2020.

Available formats:
Archive BitTorrent - Item Tile - Metadata - Thumbnail - WebM - h.264 -

Related Links:

Online Marketplaces

Find "How Learning Python Helped Me Teach C In Tertiary Education" - Shrey Somaiya (PyConline AU 2020) at online marketplaces:


7Learning To Learn Python

Shrey Somaiya https://2020.pycon.org.au/program/73HFNJ This talk is simply one about my experience of learning C from a python background - what python features helped me understand C better (control flow, algorithm and problem breakdown design, functions, etc) - what C features helped me understand python better (ie pointers in C helped me understand python lists, etc) - how I use my python knowledge to teach C at University python, pycon, australia, programming, conference, technical, pyconline, developers, panel, sessions, libraries, frameworks, community, sysadmins, students, education, data, science PyCon AU is the national conference for the Python programming community, bringing together professional, student and enthusiast developers, sysadmins and operations folk, students, educators, scientists, statisticians, and many others besides, all with a love for working with Python. PyCon AU informs the country's Python developers with presentations, tutorials and panel sessions by experts and core developers of Python, as well as the libraries and frameworks that they rely on. PyCon AU is the national conference for the Python programming community, bringing together professional, student and enthusiast developers, sysadmins and operations folk, students, educators, scientists, statisticians, and many others besides, all with a love for working with Python. PyCon AU informs the country's Python developers with presentations, tutorials and panel sessions by experts and core developers of Python, as well as the libraries and frameworks that they rely on. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Python, PyCon, PyConAU, PyConline Fri Sep 4 10:25:00 2020 at Floperator

“Learning To Learn Python” Metadata:

  • Title: Learning To Learn Python

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 212.78 Mbs, the file-s for this book were downloaded 276 times, the file-s went public at Fri Sep 23 2016.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Ogg Video - Thumbnail -

Related Links:

Online Marketplaces

Find Learning To Learn Python at online marketplaces:


8Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines

By

random2, 'Andrew Park - Data Science for Beginners_ 4 Books in 1_ Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Busines'

“Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines” Metadata:

  • Title: ➤  Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines
  • Author:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 217.58 Mbs, the file-s for this book were downloaded 27 times, the file-s went public at Sat May 04 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines at online marketplaces:


9Free Course Site.com Udemy Machine Learning A Z™ Hands On Python & R In Data Science

Course in Machine Learning and Data Science

“Free Course Site.com Udemy Machine Learning A Z™ Hands On Python & R In Data Science” Metadata:

  • Title: ➤  Free Course Site.com Udemy Machine Learning A Z™ Hands On Python & R In Data Science

“Free Course Site.com Udemy Machine Learning A Z™ Hands On Python & R In Data Science” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 0.20 Mbs, the file-s for this book were downloaded 9 times, the file-s went public at Fri Aug 20 2021.

Available formats:
BitTorrent - Metadata -

Related Links:

Online Marketplaces

Find Free Course Site.com Udemy Machine Learning A Z™ Hands On Python & R In Data Science at online marketplaces:


10Machine Learning With Pytorch And Scikit-Learn: Develop Machine Learning And Deep Learning Models With Python

By

Course in Machine Learning and Data Science

“Machine Learning With Pytorch And Scikit-Learn: Develop Machine Learning And Deep Learning Models With Python” Metadata:

  • Title: ➤  Machine Learning With Pytorch And Scikit-Learn: Develop Machine Learning And Deep Learning Models With Python
  • Authors:
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 2483.54 Mbs, the file-s for this book were downloaded 826 times, the file-s went public at Fri Aug 09 2024.

Available formats:
ACS Encrypted PDF - Cloth Cover Detection Log - DjVuTXT - Djvu XML - EPUB - Item Tile - JPEG Thumb - LCP Encrypted EPUB - LCP Encrypted PDF - Log - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Machine Learning With Pytorch And Scikit-Learn: Develop Machine Learning And Deep Learning Models With Python at online marketplaces:


11Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 194.97 Mbs, the file-s for this book were downloaded 84 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (08 - Polynomial Regression) at online marketplaces:


12Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 88.18 Mbs, the file-s for this book were downloaded 48 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (22 - Random Forest Classification) at online marketplaces:


13DFSP # 212 - Learning Python

By

This week I review resources aimed at teaching you Python

“DFSP # 212 - Learning Python” Metadata:

  • Title: DFSP # 212 - Learning Python
  • Author: ➤  

Edition Identifiers:

Downloads Information:

The book is available for download in "audio" format, the size of the file-s is: 7.03 Mbs, the file-s for this book were downloaded 5 times, the file-s went public at Sun Mar 21 2021.

Available formats:
Archive BitTorrent - Item Tile - MPEG-4 Audio - Metadata - PNG -

Related Links:

Online Marketplaces

Find DFSP # 212 - Learning Python at online marketplaces:


14Getting Machine Learning Models Ready For Production Using Python

By

https://2019.za.pycon.org/talks/80-getting-machine-learning-models-ready-for-production-using-python/ As a Scientist, it’s incredibly satisfying to be given the freedom to experiment by applying new research and rapidly prototyping. This satisfaction can be sustained quite well in a lab environment but can diminish quickly in a corporate environment. This is because of the underlying commercial value motive which science is driven by in a business setting — if it doesn’t add business value to employees or customers, there’s no place for it! Business value, however, goes beyond just being a nifty experiment which shows potential value to employees or customers. In the context of Machine Learning models, the only [business] valuable models, are models in Production! In this talk, I will take the audience through the steps involved in moving from experiments in Jupyter Notebooks to automated model training, serving and deployments for Production using an array of Python tools such as Numpy, Pandas, SciKit Learn and Docker. The intended audience for this talk includes Data Scientists, Software Engineers and any other Data practitioners who have or want to go through the journey of gaining real-time value from Machine Learning models in Production. This talk will impart lessons learnt in moving from Jupyter experiments to writing production-ready Python code, as well as impart important Python tools, frameworks and libraries which can be used to accelerate such a transition. Room: Ballroom

“Getting Machine Learning Models Ready For Production Using Python” Metadata:

  • Title: ➤  Getting Machine Learning Models Ready For Production Using Python
  • Author:
  • Language: English

“Getting Machine Learning Models Ready For Production Using Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 350.66 Mbs, the file-s for this book were downloaded 124 times, the file-s went public at Wed Feb 12 2020.

Available formats:
Archive BitTorrent - Item Tile - Metadata - Thumbnail - WebM - h.264 -

Related Links:

Online Marketplaces

Find Getting Machine Learning Models Ready For Production Using Python at online marketplaces:


15Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (31 - Part 6 Reinforcement Learning)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (31 - Part 6 Reinforcement Learning)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (31 - Part 6 Reinforcement Learning)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (31 - Part 6 Reinforcement Learning)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (31 - Part 6 Reinforcement Learning)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 0.02 Mbs, the file-s for this book were downloaded 20 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - HTML - Metadata -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (31 - Part 6 Reinforcement Learning) at online marketplaces:


16289+ Machine Learning Projects With Python Code

289+ Machine Learning Projects With Python Code

“289+ Machine Learning Projects With Python Code” Metadata:

  • Title: ➤  289+ Machine Learning Projects With Python Code
  • Language: English

“289+ Machine Learning Projects With Python Code” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 5.29 Mbs, the file-s for this book were downloaded 180 times, the file-s went public at Sat Mar 25 2023.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find 289+ Machine Learning Projects With Python Code at online marketplaces:


17Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines

By

random2, 'Andrew Park - Data Science for Beginners_ 4 Books in 1_ Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Busines'

“Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines” Metadata:

  • Title: ➤  Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines
  • Author:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 228.68 Mbs, the file-s for this book were downloaded 80 times, the file-s went public at Tue May 07 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Andrew Park Data Science For Beginners 4 Books In 1 Python Programming, Data Analysis, Machine Learning. A Complete Overview To Master The Art Of Data Science From Scratch Using Python For Busines at online marketplaces:


18Sentimental Emotion Analysis Using Python And Machine Learning

By

Sentiment analysis is used in opinion mining. It helps businesses understand the customers’ reviews with a particular product by analyzing their emotional from the product reviews they post, the online recommendations they make, their survey responses and other forms of social media text. Businesses can get feedback on how happy or sad the customer is, and use this insight to gain a competitive edge. In this article, we explore how to conduct sentiment analysis on a piece of text using some machine learning techniques. Python happens to be one of the best programming language, when it comes to machine learning as it is easy to learn, is open source, and is effective in catering to machine learning requirements like processing big datasets and performing mathematical computations. Natural Language ToolKit NLTK is one of the popular packages in Python that can use for in sentiment analysis. Mohit Chaudhari "Sentimental Emotion Analysis using Python and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41198.pdf Paper URL: https://www.ijtsrd.comengineering/computer-engineering/41198/sentimental-emotion-analysis-using-python-and-machine-learning/mohit-chaudhari

“Sentimental Emotion Analysis Using Python And Machine Learning” Metadata:

  • Title: ➤  Sentimental Emotion Analysis Using Python And Machine Learning
  • Author:
  • Language: English

“Sentimental Emotion Analysis Using Python And Machine Learning” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 5.31 Mbs, the file-s for this book were downloaded 54 times, the file-s went public at Sat Jul 10 2021.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Sentimental Emotion Analysis Using Python And Machine Learning at online marketplaces:


19Learning Python Design Patterns : Leverage The Power Of Python Design Patterns To Solve Real-world Problems In Software Architecture And Design

By

Sentiment analysis is used in opinion mining. It helps businesses understand the customers’ reviews with a particular product by analyzing their emotional from the product reviews they post, the online recommendations they make, their survey responses and other forms of social media text. Businesses can get feedback on how happy or sad the customer is, and use this insight to gain a competitive edge. In this article, we explore how to conduct sentiment analysis on a piece of text using some machine learning techniques. Python happens to be one of the best programming language, when it comes to machine learning as it is easy to learn, is open source, and is effective in catering to machine learning requirements like processing big datasets and performing mathematical computations. Natural Language ToolKit NLTK is one of the popular packages in Python that can use for in sentiment analysis. Mohit Chaudhari "Sentimental Emotion Analysis using Python and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd41198.pdf Paper URL: https://www.ijtsrd.comengineering/computer-engineering/41198/sentimental-emotion-analysis-using-python-and-machine-learning/mohit-chaudhari

“Learning Python Design Patterns : Leverage The Power Of Python Design Patterns To Solve Real-world Problems In Software Architecture And Design” Metadata:

  • Title: ➤  Learning Python Design Patterns : Leverage The Power Of Python Design Patterns To Solve Real-world Problems In Software Architecture And Design
  • Author:
  • Language: English

“Learning Python Design Patterns : Leverage The Power Of Python Design Patterns To Solve Real-world Problems In Software Architecture And Design” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 326.17 Mbs, the file-s for this book were downloaded 125 times, the file-s went public at Thu Mar 25 2021.

Available formats:
ACS Encrypted PDF - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Learning Python Design Patterns : Leverage The Power Of Python Design Patterns To Solve Real-world Problems In Software Architecture And Design at online marketplaces:


20Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (04 - Data Preprocessing In R)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (04 - Data Preprocessing in R)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (04 - Data Preprocessing In R)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (04 - Data Preprocessing In R)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (04 - Data Preprocessing In R)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 80.43 Mbs, the file-s for this book were downloaded 47 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (04 - Data Preprocessing In R) at online marketplaces:


21Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (43 - Model Selection)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (43 - Model Selection)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (43 - Model Selection)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (43 - Model Selection)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (43 - Model Selection)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 148.07 Mbs, the file-s for this book were downloaded 53 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (43 - Model Selection) at online marketplaces:


22Machine Learning Regression Masterclass In Python

udemy course

“Machine Learning Regression Masterclass In Python” Metadata:

  • Title: ➤  Machine Learning Regression Masterclass In Python

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 5109.09 Mbs, the file-s for this book were downloaded 1684 times, the file-s went public at Fri Jul 30 2021.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - HTML - Item Tile - MPEG4 - Metadata - Thumbnail - Unknown - Web Video Text Tracks - ZIP -

Related Links:

Online Marketplaces

Find Machine Learning Regression Masterclass In Python at online marketplaces:


23Machine Learning Using Python

ML - python

“Machine Learning Using Python” Metadata:

  • Title: Machine Learning Using Python
  • Language: English

“Machine Learning Using Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 153.83 Mbs, the file-s for this book were downloaded 463 times, the file-s went public at Sat Mar 27 2021.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Machine Learning Using Python at online marketplaces:


24Machine Learning With Python Cookbook Practical Solutions From Preprocessing To Deep Learning ( PDFDrive.com )

Machine learning

“Machine Learning With Python Cookbook Practical Solutions From Preprocessing To Deep Learning ( PDFDrive.com )” Metadata:

  • Title: ➤  Machine Learning With Python Cookbook Practical Solutions From Preprocessing To Deep Learning ( PDFDrive.com )
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 114.71 Mbs, the file-s for this book were downloaded 291 times, the file-s went public at Tue Feb 09 2021.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Machine Learning With Python Cookbook Practical Solutions From Preprocessing To Deep Learning ( PDFDrive.com ) at online marketplaces:


25Andreas C. Müller, Sarah Guido Introduction To Machine Learning With Python A Guide For Data Scientists O’ Reilly Media ( 2016) 3 ( 1)

By

Introduction-to-machine-learning-with-python-a-guide for data scientists by andreas-c.-muller-sarah-guido

“Andreas C. Müller, Sarah Guido Introduction To Machine Learning With Python A Guide For Data Scientists O’ Reilly Media ( 2016) 3 ( 1)” Metadata:

  • Title: ➤  Andreas C. Müller, Sarah Guido Introduction To Machine Learning With Python A Guide For Data Scientists O’ Reilly Media ( 2016) 3 ( 1)
  • Author:
  • Language: English

“Andreas C. Müller, Sarah Guido Introduction To Machine Learning With Python A Guide For Data Scientists O’ Reilly Media ( 2016) 3 ( 1)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 194.31 Mbs, the file-s for this book were downloaded 2472 times, the file-s went public at Wed Jul 12 2023.

Available formats:
Archive BitTorrent - Daisy - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Andreas C. Müller, Sarah Guido Introduction To Machine Learning With Python A Guide For Data Scientists O’ Reilly Media ( 2016) 3 ( 1) at online marketplaces:


26Learning Python

By

Introduction-to-machine-learning-with-python-a-guide for data scientists by andreas-c.-muller-sarah-guido

“Learning Python” Metadata:

  • Title: Learning Python
  • Author:
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 601.92 Mbs, the file-s for this book were downloaded 241 times, the file-s went public at Mon Aug 09 2021.

Available formats:
ACS Encrypted PDF - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Learning Python at online marketplaces:


27Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 - Part 5 Association Rule Learning)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 -  Part 5 Association Rule Learning)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 - Part 5 Association Rule Learning)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 - Part 5 Association Rule Learning)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 - Part 5 Association Rule Learning)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 0.02 Mbs, the file-s for this book were downloaded 24 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - HTML - Metadata -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 - Part 5 Association Rule Learning) at online marketplaces:


28Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now

By

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (28 -  Part 5 Association Rule Learning)

“Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now” Metadata:

  • Title: ➤  Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now
  • Author:
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 321.33 Mbs, the file-s for this book were downloaded 44 times, the file-s went public at Wed May 25 2022.

Available formats:
ACS Encrypted PDF - AVIF Thumbnails ZIP - Cloth Cover Detection Log - DjVuTXT - Djvu XML - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Python: Learn Python In 24 Hours Or Less - A Beginner’s Guide To Learning Python Programming Now at online marketplaces:


29Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails

"Mastering Git Switch, Python Learning Sites, and Debugging Ruby on Rails" is a comprehensive guide for developers aiming to enhance their skills in essential areas of modern software development. This blog covers three critical topics: mastering the git switch command in Git for efficient branch management, exploring the best Python learning sites for programmers, and delving into advanced debugging techniques for Ruby on Rails applications. Whether you're navigating version control, expanding your programming knowledge, or tackling complex Rails bugs, this guide offers valuable insights and practical tips to boost your productivity and expertise. Read more -  https://stackify.com/

“Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails” Metadata:

  • Title: ➤  Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 2.35 Mbs, the file-s for this book were downloaded 9 times, the file-s went public at Fri Sep 20 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Mastering Git Switch, Python Learning Sites, And Debugging Ruby On Rails at online marketplaces:


30ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]

By

Sixteen scholarly papers and twenty abstracts comprise the content of the eighteenth annual Brick & Click Libraries Conference, held annually at Northwest Missouri State University in Maryville, Missouri. The proceedings, authored by academic librarians and presented at the conference, portray the contemporary and future face of librarianship. The 2018 paper and abstract titles include: (1) Committee on Diversity & Inclusion: Cultivating an Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, and Frederick Young); (2) Checking Out the LGBT+ (Kayla Reed); (3) Tailoring Library Instruction to Adult Students: Applying the Science and Methods of Andragogy for Modern Instructional and Reference Services (Eric Deatherage and Jason Smith); (4) Library-Faculty Collaboration for OER Promotion and Implementation (Paula Martin); (5) The Facts of Fiction: Research for Creative Writers (Addison Lucchi); (6) Location and the Collection Connection (Kayla Reed and Amber Carr); (7) Gay for No Pay: How to Maintain an LGBTQ+ Collection with No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout a Discipline (Nathan Elwood and Robyn Hartman); (9) Not Just a Collection: The Emergence and Evolution of Our Contemporary Collection (Hong Li and Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty and Student Academic Needs with Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model for Understanding and Teaching Students about Bias (Virginia Cairns); (12) Demystifying DH: How to Get Started with Digital Humanities (Sherri Brown and Forstot Burke); (13) Academic Libraries Embracing Technology with a Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies for One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, and Teresa Mayginnes); (16) Giving a Booster Shot to Your One Shot: Incorporating Engaging Activities into Library Instruction (Kelly Leahy, Gwen Wilson, and Angela Beatie); (17) Adventures with Omeka.net: Metadata, Workflows, and Exhibit-based Storytelling at UNO Libraries (Yumi Ohira, Angela Kroeger, and Lori Schwartz); (18) Online Badge Classes for High School Students (Angela Paul); (19) Fake News: The Fun, the Fear, and the Future of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach the Library's Mission (April K. Miller); (21) Active Learning for Metaliteracies: Digital Modules from the New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, and Brenda Linares); (22) Calculating Return on Investment in Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, and Jessica Hayden); (24) From Silos to Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging the Gap: Providing Equal Access of Library Resources and Services to Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming to the Plains: Latino/a Stories in Nebraska (Laurinda Weisse, Michelle Warren, and Jacob Rosdail); (28) Five Keys to #SocialMediaSuccess in Academic Libraries (Hannah E. Christian and Alison Hanner); (29) Easy Information Literacy Assessments for Small Academic Libraries (Julie Pinnell); (30) Traversing the Path: A Library Director's Guide to the Higher Learning Commission's Open Pathway for Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing the Internet to Introduce Information Literacy (Kelly Leahy); (32) Chatspeak for Librarians: Best Practices for Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner in the Library (Greta Valentine); (34) The Poet's Papers: Literary Research in the Small College Archives (Martha A. Tanner); (35) Giving Students an Edge: Enhancing Resumes with a Digital Information Research Certificate (Rachel R. Vukas); and (36) Where Did You Get That eBook? Comparison of Student/Faculty Use of eBooks, Library Space, and Citation Management Programs (Alice B. Ruleman). (Individual papers contain references.) [For the 2017 proceedings, see ED578189.]

“ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]” Metadata:

  • Title: ➤  ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]
  • Author:
  • Language: English

“ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.]” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 109.10 Mbs, the file-s for this book were downloaded 113 times, the file-s went public at Wed May 24 2023.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find ERIC ED590389: 2018 Brick & Click: An Academic Library Conference (18th, Maryville, Missouri, November 2, 2018) Sixteen Scholarly Papers And Twenty Abstracts Comprise The Content Of The Eighteenth Annual Brick & Click Libraries Conference, Held Annually At Northwest Missouri State University In Maryville, Missouri. The Proceedings, Authored By Academic Librarians And Presented At The Conference, Portray The Contemporary And Future Face Of Librarianship. The 2018 Paper And Abstract Titles Include: (1) Committee On Diversity & Inclusion: Cultivating An Inclusive Library Environment (Orolando Duffus, Andrea Malone, Margaret Dunn, Lisa Cruces, Matthew Moore, Annie Wu, And Frederick Young); (2) Checking Out The LGBT+ (Kayla Reed); (3) Tailoring Library Instruction To Adult Students: Applying The Science And Methods Of Andragogy For Modern Instructional And Reference Services (Eric Deatherage And Jason Smith); (4) Library-Faculty Collaboration For OER Promotion And Implementation (Paula Martin); (5) The Facts Of Fiction: Research For Creative Writers (Addison Lucchi); (6) Location And The Collection Connection (Kayla Reed And Amber Carr); (7) Gay For No Pay: How To Maintain An LGBTQ+ Collection With No Budget (Rachel Wexelbaum); (8) A Step Up: Piloting Integrated Information Literacy Instruction Throughout A Discipline (Nathan Elwood And Robyn Hartman); (9) Not Just A Collection: The Emergence And Evolution Of Our Contemporary Collection (Hong Li And Kayla Reed); (10) Flipster: How One Community College Library Supports Faculty And Student Academic Needs With Flipster Digital Magazines (Stephen Ambra); (11) Three Ring Circus: A Model For Understanding And Teaching Students About Bias (Virginia Cairns); (12) Demystifying DH: How To Get Started With Digital Humanities (Sherri Brown And Forstot Burke); (13) Academic Libraries Embracing Technology With A Purpose (Lavoris Martin); (14) (A)ffective Management: A People First Management Approach (Ryan Weir); (15) Plugged & Unplugged Active Learning Strategies For One Shots (Judy Bastin, Justina Mollach, Leslie Pierson, Ruth Harries, And Teresa Mayginnes); (16) Giving A Booster Shot To Your One Shot: Incorporating Engaging Activities Into Library Instruction (Kelly Leahy, Gwen Wilson, And Angela Beatie); (17) Adventures With Omeka.net: Metadata, Workflows, And Exhibit-based Storytelling At UNO Libraries (Yumi Ohira, Angela Kroeger, And Lori Schwartz); (18) Online Badge Classes For High School Students (Angela Paul); (19) Fake News: The Fun, The Fear, And The Future Of Resource Evaluation (Lindsay Brownfield); (20) Making Outreach The Library's Mission (April K. Miller); (21) Active Learning For Metaliteracies: Digital Modules From The New Literacies Alliance (Rachel R. Vukas, Prasanna Vaduvathiriyan, And Brenda Linares); (22) Calculating Return On Investment In Libraries (Nicholas Wyant); (23) Crossing Borders: Expanding Digitization Efforts Across Library Departments (Jay Trask, Jane Monson, And Jessica Hayden); (24) From Silos To Collaboration (Joyce Meldrem); (25) Key Performance Indicator Tracking Using Google Forms (Joshua Lambert); (26) Bridging The Gap: Providing Equal Access Of Library Resources And Services To Distance Learners (Nancy Crabtree, Xiaocan (Lucy) Wang, Bob Black); (27) Coming To The Plains: Latino/a Stories In Nebraska (Laurinda Weisse, Michelle Warren, And Jacob Rosdail); (28) Five Keys To #SocialMediaSuccess In Academic Libraries (Hannah E. Christian And Alison Hanner); (29) Easy Information Literacy Assessments For Small Academic Libraries (Julie Pinnell); (30) Traversing The Path: A Library Director's Guide To The Higher Learning Commission's Open Pathway For Accreditation (Sandy Moore); (31) Drawing Magic: Visualizing The Internet To Introduce Information Literacy (Kelly Leahy); (32) Chatspeak For Librarians: Best Practices For Chat Reference (Tanner D. Lewey); (33) The Creative Learning Spiral: A Python Learner In The Library (Greta Valentine); (34) The Poet's Papers: Literary Research In The Small College Archives (Martha A. Tanner); (35) Giving Students An Edge: Enhancing Resumes With A Digital Information Research Certificate (Rachel R. Vukas); And (36) Where Did You Get That EBook? Comparison Of Student/Faculty Use Of EBooks, Library Space, And Citation Management Programs (Alice B. Ruleman). (Individual Papers Contain References.) [For The 2017 Proceedings, See ED578189.] at online marketplaces:


31Learning Professional Python 2

Learning Professional Python 1

“Learning Professional Python 2” Metadata:

  • Title: Learning Professional Python 2
  • Language: English

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 129.06 Mbs, the file-s went public at Sun Jun 15 2025.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Learning Professional Python 2 at online marketplaces:


32[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING

Executing machine learning models in a production environment can be tricky, especially at a major bank where compliance and risk are carefully taken into account. In this talk I explain how, we, at ING (a large bank operating on global scale), execute our Python models in a production environment by building minimal Docker images for python versions. I will first talk about the possible security risks of running any docker container in a production environment. Then I will talk about ways in which we can make Docker containers more secure by building minimal docker images for Python. Finally I will explain how these docker images are used in practice to serve machine learning models at ING. Prerequisites: - Some basic knowledge of Docker can be helpful - Some basic understanding of security can be helpful Goals: - Understand the security risks of running docker containers - Know how to make docker images more secure - How to build secure model serving docker images Please see our speaker release agreement for details: https://ep2019.europython.eu/events/speaker-release-agreement/

“[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING” Metadata:

  • Title: ➤  [EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING
  • Language: English

“[EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 1833.89 Mbs, the file-s for this book were downloaded 37 times, the file-s went public at Thu Nov 05 2020.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail - h.264 IA -

Related Links:

Online Marketplaces

Find [EuroPython 2019] Thomas Kluiters - Securely Executing Python Machine Learning Models With Distroless Images At ING at online marketplaces:


33Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 0.02 Mbs, the file-s for this book were downloaded 342 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - HTML - Metadata -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (15 - Part 3 Classification) at online marketplaces:


34An Introduction To Statistical Learning With Applications In Python

As the scale and scope of data collection continue to increase across virtually all fields, statistical learning has become a critical toolkit for anyone who wishes to understand data. An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary tools for data analysis.

“An Introduction To Statistical Learning With Applications In Python” Metadata:

  • Title: ➤  An Introduction To Statistical Learning With Applications In Python
  • Language: English

“An Introduction To Statistical Learning With Applications In Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 326.80 Mbs, the file-s for this book were downloaded 15 times, the file-s went public at Thu Aug 01 2024.

Available formats:
Archive BitTorrent - DjVuTXT - Djvu XML - EPUB - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find An Introduction To Statistical Learning With Applications In Python at online marketplaces:


35[EuroPython 2016] Ian Lewis - Deep Learning With Python & TensorFlow

Ian Lewis - Deep Learning with Python & TensorFlow [EuroPython 2016] [22 July 2016 / 2016-07-22] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/deep-learning-with-python-tensorflow) Python has lots of scientific, data analysis, and machine learning libraries. But there are many problems when starting out on a machine learning project. Which library do you use? How do they compare to each other? How can you use a model that has been trained in your production app? In this talk I will discuss how you can use TensorFlow to create Deep Learning applications. I will discuss how it compares to other Python machine learning libraries, and how to deploy into production. ----- Python has lots of scientific, data analysis, and machine learning libraries. But there are many problems when starting out on a machine learning project. Which library do you use? How do they compare to each other? How can you use a model that has been trained in your production application? TensorFlow is a new Open-Source framework created at Google for building Deep Learning applications. Tensorflow allows you to construct easy to understand data flow graphs in Python which form a mathematical and logical pipeline. Creating data flow graphs allow easier visualization of complicated algorithms as well as running the training operations over multiple hardware GPUs in parallel. In this talk I will discuss how you can use TensorFlow to create Deep Learning applications. I will discuss how it compares to other Python machine learning libraries like Theano or Chainer. Finally, I will discuss how trained TensorFlow models could be deployed into a production system using TensorFlow Serve.

“[EuroPython 2016] Ian Lewis - Deep Learning With Python & TensorFlow” Metadata:

  • Title: ➤  [EuroPython 2016] Ian Lewis - Deep Learning With Python & TensorFlow
  • Language: English

“[EuroPython 2016] Ian Lewis - Deep Learning With Python & TensorFlow” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 3767.61 Mbs, the file-s for this book were downloaded 1422 times, the file-s went public at Tue Aug 09 2016.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Ogg Video - Thumbnail -

Related Links:

Online Marketplaces

Find [EuroPython 2016] Ian Lewis - Deep Learning With Python & TensorFlow at online marketplaces:


36Come Organizzare La Struttura Di Un Progetto Python O Machine Learning

By

In questo video parleremo di un tema molto importante: come strutturare correttamente un progetto Python o Machine Learning.Strutturare correttamente un progetto Python serve prima di tutto a dare un senso a quello che state facendo e a rendere il codice immediatamente comprensibile, soprattutto a distanza di tempo, per poi stessi e anche per chi dovrà lavorare al vostro stesso progetto e quindi al vostro codice.Infatti, se avete del codice abbastanza \"incasinato\" e non strutturato correttamente, nel caso qualcuno (collaboratore, amico, conoscente, ecc.) dovesse aiutarvi nella ricerca di bugs o nell'implementazione di nuove funzionalità, dovrà prima di tutto capire come funziona il vostro programma, quali sono i flussi del software e come esso e organizzato. Risulterà quindi un'enorme perdita di tempo. Invece di concentrarvi nella vera risoluzione di un bug, dovrete prima di tutto cercare di capire come funziona il codice.Un progetto ben strutturato, e quindi anche un codice ben organizzato, vi consentirà un agevole refactor e un'agevole implementazione di nuove funzionalità.

“Come Organizzare La Struttura Di Un Progetto Python O Machine Learning” Metadata:

  • Title: ➤  Come Organizzare La Struttura Di Un Progetto Python O Machine Learning
  • Author:

“Come Organizzare La Struttura Di Un Progetto Python O Machine Learning” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "audio" format, the size of the file-s is: 22.26 Mbs, the file-s for this book were downloaded 12 times, the file-s went public at Tue Jun 22 2021.

Available formats:
Archive BitTorrent - Columbia Peaks - Item Tile - Metadata - PNG - Spectrogram - VBR MP3 -

Related Links:

Online Marketplaces

Find Come Organizzare La Struttura Di Un Progetto Python O Machine Learning at online marketplaces:


37Learning Python

By

Includes index

“Learning Python” Metadata:

  • Title: Learning Python
  • Authors:
  • Language: English

“Learning Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 407.65 Mbs, the file-s for this book were downloaded 3923 times, the file-s went public at Tue Jun 15 2010.

Available formats:
ACS Encrypted PDF - Abbyy GZ - Animated GIF - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Grayscale PDF - Item Tile - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - MARC - MARC Binary - MARC Source - Metadata - Metadata Log - OCLC xISBN JSON - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -

Related Links:

Online Marketplaces

Find Learning Python at online marketplaces:


38Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System

By

Programmers may be hesitant to use declarative systems, because of the associated learning curve. In this paper, we present an API that integrates the IDP Knowledge Base system into the Python programming language. IDP is a state-of-the-art logical system, which uses SAT, SMT, Logic Programming and Answer Set Programming technology. Python is currently one of the most widely used (teaching) languages for programming. The first goal of our API is to allow a Python programmer to use the declarative power of IDP, without needing to learn any new syntax or semantics. The second goal is allow IDP to be added to/removed from an existing code base with minimal changes.

“Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System” Metadata:

  • Title: ➤  Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System
  • Author:

“Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "texts" format, the size of the file-s is: 0.19 Mbs, the file-s for this book were downloaded 29 times, the file-s went public at Thu Jun 28 2018.

Available formats:
Archive BitTorrent - Metadata - Text PDF -

Related Links:

Online Marketplaces

Find Lowering The Learning Curve For Declarative Programming: A Python API For The IDP System at online marketplaces:


39[LinkedInx Learning] - Técnicas Avançadas De Python

.

“[LinkedInx Learning] - Técnicas Avançadas De Python” Metadata:

  • Title: ➤  [LinkedInx Learning] - Técnicas Avançadas De Python

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 1388.37 Mbs, the file-s for this book were downloaded 12 times, the file-s went public at Thu Nov 11 2021.

Available formats:
Item Tile - MPEG4 - Metadata - Thumbnail - ZIP - h.264 -

Related Links:

Online Marketplaces

Find [LinkedInx Learning] - Técnicas Avançadas De Python at online marketplaces:


40Bayesian Machine Learning In Python AB Testing

Bayesian Machine Learning In Python AB Testing

“Bayesian Machine Learning In Python AB Testing” Metadata:

  • Title: ➤  Bayesian Machine Learning In Python AB Testing

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 1396.04 Mbs, the file-s for this book were downloaded 166 times, the file-s went public at Sat Aug 15 2020.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - Item Tile - MPEG4 - Metadata - SubRip - Thumbnail - Unknown -

Related Links:

Online Marketplaces

Find Bayesian Machine Learning In Python AB Testing at online marketplaces:


41Deep Learning From Scratch With Python

deep learing

“Deep Learning From Scratch With Python” Metadata:

  • Title: ➤  Deep Learning From Scratch With Python

Edition Identifiers:

Downloads Information:

The book is available for download in "audio" format, the size of the file-s is: 896.10 Mbs, the file-s for this book were downloaded 3 times, the file-s went public at Mon Jun 16 2025.

Available formats:
Archive BitTorrent - Flac - Item Tile - Metadata - PNG - Spectrogram - VBR MP3 - WAVE -

Related Links:

Online Marketplaces

Find Deep Learning From Scratch With Python at online marketplaces:


42Deep Learning Prerequisites Linear Regression In Python

Deep Learning Prerequisites Linear Regression in Python

“Deep Learning Prerequisites Linear Regression In Python” Metadata:

  • Title: ➤  Deep Learning Prerequisites Linear Regression In Python

“Deep Learning Prerequisites Linear Regression In Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 1151.10 Mbs, the file-s for this book were downloaded 2474 times, the file-s went public at Thu Apr 01 2021.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - HTML - Item Tile - MPEG4 - Metadata - SubRip - Thumbnail - Unknown -

Related Links:

Online Marketplaces

Find Deep Learning Prerequisites Linear Regression In Python at online marketplaces:


43Python For Computer Vision With Open CV And Deep Learning

Python For Computer Vision With Open CV And Deep Learning

“Python For Computer Vision With Open CV And Deep Learning” Metadata:

  • Title: ➤  Python For Computer Vision With Open CV And Deep Learning

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 5820.01 Mbs, the file-s for this book were downloaded 1634 times, the file-s went public at Thu Jun 04 2020.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - HTML - Item Tile - MPEG4 - Metadata - SubRip - Thumbnail - Unknown - ZIP -

Related Links:

Online Marketplaces

Find Python For Computer Vision With Open CV And Deep Learning at online marketplaces:


44PYTHON PROGRAMMATION ORIENTÉE OBJET Et Impact En Machine Learning (9/30)

By

Avec la programmation orientée objet, on considère que notre univers est rempli d'objets: Regardez tout autour de vous: vous êtes entouré d'objets. Même vous et moi pouvons être considérés des objets faisant partis de notre univers. Deux choses sont à préciser sur ces objets. 1) les objets ont des attributs qui les qualifient: un stylo aura par exemple une couleur, une masse, une marque... 2) les objets peuvent effectuer des actions, ce qu'on appelle des méthodes: un stylo peut écrire, ou bien effacer, s'il a une gomme. Les méthode modifient les attributs d'autres objets, et c'est ainsi que les objets peuvent se modifier les uns les autres et former un environnement complexe. Pour finir on dit qu'une classe représente le plan de conception d'un objet. Par exemple c'est de la classe stylo que sont produis tous les objets stylos. La programmation orientée objet est l'un des paradigmes les plus important de l'univers de la programmation. Avec python, c'est très facile de comprendre ce concept avancé ! Il n'est pas utile en machine learning et en data science de savoir créer ses propres classes, en revanche il est important de bien comprendre comment la programmation orientée objet fonctionne, cela vous permettra de mieux circuler dans la documentation python et de bien comprendre les objets que vous manipulez dans vos programmes de machine learning ! Lien vers la documentation Numpy qui vous montre un très bon exemple de classe, avec les attributs et les méthodes qui font parties de l'objet ndarray: https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html ► ARTICLE EN COMPLÉMENT DE CETTE VIDÉO: https://machinelearnia.com/ ► Soutenez-moi sur Tipeee pour du contenu BONUS: https://fr.tipeee.com/machine-learnia ► REJOINS NOTRE COMMUNAUTÉ DISCORD https://discord.gg/WMvHpzu ► Recevez gratuitement mon Livre: APPRENDRE LE MACHINE LEARNING EN UNE SEMAINE CLIQUEZ ICI: https://machinelearnia.com/apprendre-le-machine-learning-en-une-semaine/ ► Téléchargez gratuitement mes codes sur github: https://github.com/MachineLearnia ► Abonnez-vous : https://www.youtube.com/channel/UCmpptkXu8iIFe6kfDK5o7VQ ► Pour En Savoir plus : Visitez Machine Learnia : https://machinelearnia.com/ ► Qui suis-je ? Je m’appelle Guillaume Saint-Cirgue et je suis Data Scientist au Royaume Uni. Après avoir suivi un parcours classique maths sup maths spé et avoir intégré une bonne école d’ingénieur, je me suis tourné vers l’intelligence artificielle de ma propre initiative et j’ai commencé à apprendre tout seul le machine learning et le deep learning en suivant des formations payantes, en lisant des articles scientifiques, en suivant les cours du MIT et de Stanford et en passant des week end entier à développer mes propres codes. Aujourd’hui, je veux vous offrir ce que j’ai appris gratuitement car le monde a urgemment besoin de se former en Intelligence Artificielle. Que vous souhaitiez changer de vie, de carrière, ou bien développer vos compétences à résoudre des problèmes, ma chaîne vous y aidera. C’est votre tour de passer à l’action ! ► Une question ? Contactez-moi: [email protected]

“PYTHON PROGRAMMATION ORIENTÉE OBJET Et Impact En Machine Learning (9/30)” Metadata:

  • Title: ➤  PYTHON PROGRAMMATION ORIENTÉE OBJET Et Impact En Machine Learning (9/30)
  • Author:

“PYTHON PROGRAMMATION ORIENTÉE OBJET Et Impact En Machine Learning (9/30)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 29.37 Mbs, the file-s for this book were downloaded 136 times, the file-s went public at Sun Oct 01 2023.

Available formats:
Archive BitTorrent - Item Tile - JSON - MPEG4 - Metadata - SubRip - Thumbnail - Unknown - Web Video Text Tracks -

Related Links:

Online Marketplaces

Find PYTHON PROGRAMMATION ORIENTÉE OBJET Et Impact En Machine Learning (9/30) at online marketplaces:


45Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (33 - Thompson Sampling)

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (33 - Thompson Sampling)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (33 - Thompson Sampling)” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (33 - Thompson Sampling)

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (33 - Thompson Sampling)” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 163.42 Mbs, the file-s for this book were downloaded 38 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - HTML - Item Tile - MPEG4 - Metadata - Thumbnail -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (33 - Thompson Sampling) at online marketplaces:


46Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))

Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))” Metadata:

  • Title: ➤  Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))

“Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM))” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 78.53 Mbs, the file-s for this book were downloaded 44 times, the file-s went public at Sat Feb 10 2024.

Available formats:
Archive BitTorrent - Item Tile - MPEG4 - Metadata - Thumbnail - ZIP -

Related Links:

Online Marketplaces

Find Machine Learning A-Z AI, Python & R + ChatGPT Bonus 2023 (18 - Support Vector Machine (SVM)) at online marketplaces:


47Machine Learning, Data Science And Deep Learning With Python

Machine Learning, Data Science And Deep Learning With Python

“Machine Learning, Data Science And Deep Learning With Python” Metadata:

  • Title: ➤  Machine Learning, Data Science And Deep Learning With Python

Edition Identifiers:

Downloads Information:

The book is available for download in "data" format, the size of the file-s is: 9622.50 Mbs, the file-s for this book were downloaded 496 times, the file-s went public at Sun Jul 26 2020.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - HTML - Item Tile - MPEG4 - Metadata - SubRip - Thumbnail - Unknown -

Related Links:

Online Marketplaces

Find Machine Learning, Data Science And Deep Learning With Python at online marketplaces:


48Deployment Of Machine Learning Models In Production Python

Deployment of Machine Learning Models in Production Python

“Deployment Of Machine Learning Models In Production Python” Metadata:

  • Title: ➤  Deployment Of Machine Learning Models In Production Python

“Deployment Of Machine Learning Models In Production Python” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 4152.56 Mbs, the file-s for this book were downloaded 740 times, the file-s went public at Mon Jan 11 2021.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - HTML - Item Tile - MPEG4 - Metadata - SubRip - Text - Thumbnail - ZIP -

Related Links:

Online Marketplaces

Find Deployment Of Machine Learning Models In Production Python at online marketplaces:


49Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization

Python for Brain Mining: (Neuro)science with State of the Art Machine Learning and Data Visualization Gael Varoquaux If you have questions, email [email protected]

“Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization” Metadata:

  • Title: ➤  Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization

“Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization” Subjects and Themes:

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 530.91 Mbs, the file-s for this book were downloaded 368 times, the file-s went public at Sat Jul 30 2011.

Available formats:
Animated GIF - Archive BitTorrent - Item Tile - MPEG4 - Metadata - Ogg Video - Thumbnail -

Related Links:

Online Marketplaces

Find Thursday - 203 - 5 - Python For Brain Mining: (Neuro)science With State Of The Art Machine Learning And Data Visualization at online marketplaces:


50Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python

I am testing

“Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python” Metadata:

  • Title: ➤  Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python

Edition Identifiers:

Downloads Information:

The book is available for download in "movies" format, the size of the file-s is: 3.81 Mbs, the file-s for this book were downloaded 166 times, the file-s went public at Mon Mar 29 2021.

Available formats:
Archive BitTorrent - BitTorrent - BitTorrentContents - GZIP - Metadata -

Related Links:

Online Marketplaces

Find Tutsgalaxy. NET Udemy Deep Learning Prerequisites Logistic Regression In Python at online marketplaces:


Top of Page

Source: The Open Library

The Open Library Search Results

Available books for downloads and borrow from The Open Library

1Learning Python

By

Book's cover

“Learning Python” Metadata:

  • Title: Learning Python
  • Authors:
  • Languages: English - ger
  • Number of Pages: Median: 591
  • Publisher: ➤  O'Reilly Media - O'Reilly Media, Incorporated - O'Reilly - Shroff Publishers & Distributors Pvt. Ltd. - CreateSpace Independent Publishing Platform - O'Reilly Media, Inc.
  • Publish Date: ➤  
  • Publish Location: ➤  Sebstopol - Sebastopol, CA - Cambridge - Taipei - Tokyo - Farnham - Paris - Köln - Beijing - CA 95472

“Learning Python” Subjects and Themes:

Edition Identifiers:

First Setence:

"Dieses Buch bietet Ihnen eine kurze Einführung in die Programmiersprache Python."

Access and General Info:

  • First Year Published: 1999
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

Online Access

Downloads Are Not Available:

The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.

Online Borrowing:

Online Marketplaces

Find Learning Python at online marketplaces:


2Learning Python Manual (4th edition)(Chinese Edition)

By

“Learning Python Manual (4th edition)(Chinese Edition)” Metadata:

  • Title: ➤  Learning Python Manual (4th edition)(Chinese Edition)
  • Author:
  • Publisher: Machinery Industry Press
  • Publish Date:

Edition Identifiers:

Access and General Info:

  • First Year Published: 2011
  • Is Full Text Available: Yes
  • Is The Book Public: No
  • Access Status: Borrowable

Online Access

Downloads Are Not Available:

The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.

Online Borrowing:

Online Marketplaces

Find Learning Python Manual (4th edition)(Chinese Edition) at online marketplaces:


Top of Page

Source: LibriVox

LibriVox Search Results

Available audio books for downloads from LibriVox

1Susan B. Anthony Rebel, Crusader, Humanitarian

By

Book's cover

Alma Lutz's outstanding biography of Susan B. Anthony is revered for its descriptive power, attention to detail and historical significance to the women's Suffragette movement. - Summary by PhyllisV

“Susan B. Anthony Rebel, Crusader, Humanitarian” Metadata:

  • Title: ➤  Susan B. Anthony Rebel, Crusader, Humanitarian
  • Author:
  • Language: English
  • Publish Date:

Edition Specifications:

  • Format: Audio
  • Number of Sections: 26
  • Total Time: 14:16:52

Edition Identifiers:

Links and information:

  • LibriVox Link:
  • Text Source: - Download text file/s.
  • Number of Sections: 26 sections

Online Access

Download the Audio Book:

  • File Name: susanbanthony_2004_librivox
  • File Format: zip
  • Total Time: 14:16:52
  • Download Link: Download link

Online Marketplaces

Find Susan B. Anthony Rebel, Crusader, Humanitarian at online marketplaces:


Top of Page

Buy “Learning Python” online:

Shop for “Learning Python” on popular online marketplaces.