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آموزش phyton - قسمت سوم - كاري از حسين شفيعيان در قبيله گيك ها

Lara Kattan https://www.pyohio.org/2019/presentations/116 Let's build up our knowledge of probabilistic programming and Bayesian inference! All you need to start is basic knowledge of linear regression; familiarity with running a model of any type in Python is helpful. By the end of this presentation, you'll know the following: - What probabilistic programming is and why it's necessary for Bayesian inference - What Bayesian inference is, how it's different from classical frequentist inference, and why it's becoming so relevant for applied data science in the real world - How to write your own Bayesian models in the Python library PyMC3, including metrics for judging how well the model is performing - How to go about learning more about the topic of Bayesian inference and how to bring it to your current data science job We'll meet our objectives by answering three questions: 1. What is probabilistic programming? * PP is the idea that we can use computer code to build probability distributions * Theory of the primitives in probabilistic programming and how we can build models out of distributions 2. What is Bayesian inference and why should I add it to my toolbox on top of classical ML models? * Classically, we had simulations, but they run in only one direction: get data input and move it according to assumptions of parameters and get a prediction * Bayesian inference adds another direction: use the data to go back and pick one of many possible parameters as the most likely to have created the data (posterior distributions) * Use Bayes' theorem to find the most likely values of the model parameters 3. What is PyMC3 and how can I start building and interpreting models using it? * **We'll work through actual examples of models using PyMC3, including hierarchical models** * Solving Bayes' theorem in practice requires taking integrals * If we don't want to do integrals by hand, we need to use numerical solution methods * From the package authors: "[PyMC3 is an ]open source probabilistic programming framework written in Python that uses Theano to compute gradients via automatic differentiation as well as compile probabilistic programs on-the-fly to C for increased speed" The intention is to get hands-on experience building PyMC3 models to demystify probabilistic programming / Bayesian inference for those more well versed in traditional ML, and, most importantly, to understand how these models can be relevant in our daily work as data scientists in business. If you can write a model in sklearn, you can make the leap to Bayesian inference with PyMC3, a user-friendly intro to probabilistic programming (PP) in Python. PP just means building models where the building blocks are probability distributions! And we can use PP to do Bayesian inference easily. Bayesian inference allows us to solve problems that aren't otherwise tractable with classical methods. === https://pyohio.org A FREE annual conference for anyone interested in Python in and around Ohio, the entire Midwest, maybe even the whole world. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Sun Jul 28 13:15:00 2019 at Suzanne Scharer

A computer program has been developed using PYTHON for the analysis of multi turn CLPHP made up of copper with capillary dimensions such as 2mm and 3.1 mm inner and outer diameters. The central difference finite difference equations are used to determine the temperatures at various sections by using numerical methods. The heat transfer equations for each cell solved iteratively, and the temperature values are updated at each time step until the solution converged. The performance of the heat pipe was analysed by varying the heat inputs and working fluid conditions. PYTHON code is developed for different fluids by using libraries such as NumPy, SciPy, and Matplotlib to obtain temperature matrix. Thermal resistance as a performance parameter is calculated with the help of temperatures. The obtained temperatures by running Python code are compared with the existing experimental results.

python programming

Programacion en Python

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

Model 2010 Bioinformatics Programming Using Python Covers Python 3( 4)

GUI Tutorial 2-Python Tkinter -Quadratic Equation - Computer Programming Tutor

Python - Oriented Programming - Fastener Joint Design

Perma.cc archive of https://www.coursera.org/specializations/python-3-programming created on 2022-01-28 16:57:12.135711+00:00.

Model 2010 Bioinformatics Programming Using Python Covers Python 3( 2)

Python 3 Programming Specialization

Python 3 Programming Specialization

Python is a powerful, flexible programming language broadly used for web improvement, facts technology, and automation.

Python. An Introduction To Programming

@ https://programming-23.mooc.fi/ - Python Slideshow Pdf

@ https://programming-23.mooc.fi/ - Python Slideshow Pdf

@ https://programming-23.mooc.fi/ - Python Slideshow Pdf

I’m currently learning Python Programming to build a strong foundation in coding. This course is helping me understand how to write clean, efficient code and solve real-world problems using Python. I'm excited to apply these skills in web development, data analysis, and automation.

I’m currently learning Python Programming to build a strong foundation in coding. This course is helping me understand how to write clean, efficient code and solve real-world problems using Python. I'm excited to apply these skills in web development, data analysis, and automation.

you will learn the Tkinter library, how to draw buttons, windows, textfields, etc, a good starting point to learn GUI programming. Watching previous lectures are recommended to understand this lecture. Have you ever wanted to know how your application is programmed on the computer. This lecture will show you how easy it is to program. Aimed at beginner programmers or people that has no programming experience. For you to watch this class, you must have python installed from python.org . Lecture 2 will show you how to install and run python. This lecture assumes that you already have python. The python course series is designed to be short, fun, and concise. They are 10 minutes each with fun examples and easy instruction. If you want to learn programming this is the way to go.

chotu

The Python DB-API 2.0 provides a direct interface to many popular database backends. It makes interaction with relational database very straight forward and allows tapping into the full set of features these databases provide. The talk will cover advanced database topics which are relevant in production environments such as locks, distributed transactions and transaction isolation. ---- The talk will give an in-depth discussion of advanced database programming topics based on the Python DB-API 2.0: locks and dead-locks, two-phase commits, transaction isolation, result set scrolling, schema introspection and handling multiple result sets. Talks slides are available on request.

xii, 270 p. ; 24 cm

Our hybrid programming journey with Python and C++: James Saunders's talk at PyConZA 2012

Today we learn about the for loop and how we use it to help us in the photo viewer project.

Kenneth and Wynn caught up with Glyph Lefkowitz from Twisted to talk about the project and evented programming in Python.

[ Reading] After Work Introduction To Python Programming

[ Reading] After Work Introduction To Python Programming

GUI Tutorial 0-Python Tkinter -Tutorial for Beginners-Computer Programming Tutor

Travis Oliphant is a data scientist, entrepreneur, and creator of NumPy, SciPy, and Anaconda. Please support this podcast by checking out our sponsors: - Novo: https://banknovo.com/lex - Allform: https://allform.com/lex to get 20% off - Onnit: https://lexfridman.com/onnit to get up to 10% off - Athletic Greens: https://athleticgreens.com/lex and use code LEX to get 1 month of fish oil - Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium EPISODE LINKS: Travis's Twitter: https://twitter.com/teoliphant Travis's Wiki Page: https://en.wikipedia.org/wiki/Travis_Oliphant NumPy: https://numpy.org/ SciPy: https://scipy.org/about.html Anaconda: https://www.anaconda.com/products/individual Quansight: https://www.quansight.com PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full

Learn how to use the if statements. Having a program that makes decisions for us will make our life much easier and our programs more powerful. In this program you will decide which girl we should go out with on a friday night and which car we should buy. :) You will learn: How to use if statements, examples are provided

Learn how to use the if statements. Having a program that makes decisions for us will make our life much easier and our programs more powerful. In this program you will decide which girl we should go out with on a friday night and which car we should buy. :) You will learn: How to use if statements, examples are provided

Learn how to create a picture display. This lecture will mainly concentrate on the idea of variables. The different types of variables includes integer, float, string and boolean. We will also take a look at the concept of global and local variables in python.

Python

Python

Certified Associate in Python Programming (PCAP)

Welcome to the world of network programming with Python. Python is a full-featured object-oriented programming language with a standard library that includes everything needed to rapidly build powerful network applications. In addition, it has a multitude of third-party libraries and packages that extend Python to every sphere of network programming. Combined with the fun of using Python, with this book, we hope to get you started on your journey so that you master these tools and produce some great networking code. In this book, we are squarely targeting Python 3. Although Python 3 is still establishing itself as the successor to Python 2, version 3 is the future of the language, and we want to demonstrate that it is ready for network programming prime time. It offers many improvements over the previous version, many of which improve the network programming experience, with enhanced standard library modules and new additions. We hope you enjoy this introduction to network programming with Python. Dr. M. O. Faruque Sarker    Sam Washington

learn how to create buttons and make them do something in Tk Have you ever wanted to know how your application is programmed on the computer. This lecture will show you how easy it is to program. Aimed at beginner programmers or people that has no programming experience. For you to watch this class, you must have python installed from python.org . Lecture 2 will show you how to install and run python. This lecture assumes that you already have python. The python course series is designed to be short, fun, and concise. They are 10 minutes each with fun examples and easy instruction. If you want to learn programming this is the way to go.

python and mathematics book

This video will teach you everything you need as a beginner to write Python programs using PyCharm on any Linux distro and Windows 11. 00:00 Intro 00:18 How to open PyCharm on Linux 00:37 How to open PyCharm on Windows 11 00:14 How to exit project in PyCharm 01:20 How to open projects in PyCharm 01:35 How to create new projects in PyCharm 03:10 How to maximize the PyCharm window 03:19 How to change the PyCharm theme 03:46 Introduction to PyCharm project tool window 03:54 How to hide items in the folder in PyCharm project tool window 04:00 How to view items in the folder in PyCharm project tool window 04:05 How to create a new folder using the PyCharm project tool window 04:37 How to create a new Python script using the PyCharm project tool window 05:24 How to close Python Scripts in the PyCharm editor panel 05:31 How to open Python Scripts in the PyCharm editor panel using PyCharn project tool window 05:39 PyCharm project conclusion 05:51 How to minimize the “project tool window” 06:00 How to make the “Project tool window” show up 06:14 Introduction to PyCharm editor panel 06:20 How to edit Python script using PyCharm editor panel 07:00 How to use the "cd" command to move around the file path in PyCharm terminal 07:49 How to use the "ls" command to see a list of all the folders and files contained inside your current folder in the PyCharm terminal 08:00 Example of using the "cd" command in the PyCharm terminal 08:34 How to create folders using the PyCharm terminal using the "mkdir" command 09:31 How to create Python files using the PyCharm terminal using the "touch" command 10:31 How to run Python script using the PyCharm terminal 12:07 How to hide and unhide the PyCharn terminal 12:27 PyCharm terminal conclusion 12:31 How you can run a Python script in PyCharm without using the terminal 12:59 How to close the PyCharm app 13:11 What to do if you need help or want to improve using PyCharm. 13:41 Outro

This video will teach you everything you need as a beginner to write Python programs using PyCharm on any Linux distro and Windows 11. 00:00 Intro 00:18 How to open PyCharm on Linux 00:37 How to open PyCharm on Windows 11 00:14 How to exit project in PyCharm 01:20 How to open projects in PyCharm 01:35 How to create new projects in PyCharm 03:10 How to maximize the PyCharm window 03:19 How to change the PyCharm theme 03:46 Introduction to PyCharm project tool window 03:54 How to hide items in the folder in PyCharm project tool window 04:00 How to view items in the folder in PyCharm project tool window 04:05 How to create a new folder using the PyCharm project tool window 04:37 How to create a new Python script using the PyCharm project tool window 05:24 How to close Python Scripts in the PyCharm editor panel 05:31 How to open Python Scripts in the PyCharm editor panel using PyCharn project tool window 05:39 PyCharm project conclusion 05:51 How to minimize the “project tool window” 06:00 How to make the “Project tool window” show up 06:14 Introduction to PyCharm editor panel 06:20 How to edit Python script using PyCharm editor panel 07:00 How to use the "cd" command to move around the file path in PyCharm terminal 07:49 How to use the "ls" command to see a list of all the folders and files contained inside your current folder in the PyCharm terminal 08:00 Example of using the "cd" command in the PyCharm terminal 08:34 How to create folders using the PyCharm terminal using the "mkdir" command 09:31 How to create Python files using the PyCharm terminal using the "touch" command 10:31 How to run Python script using the PyCharm terminal 12:07 How to hide and unhide the PyCharn terminal 12:27 PyCharm terminal conclusion 12:31 How you can run a Python script in PyCharm without using the terminal 12:59 How to close the PyCharm app 13:11 What to do if you need help or want to improve using PyCharm. 13:41 Outro

This video will teach you everything you need as a beginner to write Python programs using PyCharm on any Linux distro and Windows 11. 00:00 Intro 00:18 How to open PyCharm on Linux 00:37 How to open PyCharm on Windows 11 00:14 How to exit project in PyCharm 01:20 How to open projects in PyCharm 01:35 How to create new projects in PyCharm 03:10 How to maximize the PyCharm window 03:19 How to change the PyCharm theme 03:46 Introduction to PyCharm project tool window 03:54 How to hide items in the folder in PyCharm project tool window 04:00 How to view items in the folder in PyCharm project tool window 04:05 How to create a new folder using the PyCharm project tool window 04:37 How to create a new Python script using the PyCharm project tool window 05:24 How to close Python Scripts in the PyCharm editor panel 05:31 How to open Python Scripts in the PyCharm editor panel using PyCharn project tool window 05:39 PyCharm project conclusion 05:51 How to minimize the “project tool window” 06:00 How to make the “Project tool window” show up 06:14 Introduction to PyCharm editor panel 06:20 How to edit Python script using PyCharm editor panel 07:00 How to use the "cd" command to move around the file path in PyCharm terminal 07:49 How to use the "ls" command to see a list of all the folders and files contained inside your current folder in the PyCharm terminal 08:00 Example of using the "cd" command in the PyCharm terminal 08:34 How to create folders using the PyCharm terminal using the "mkdir" command 09:31 How to create Python files using the PyCharm terminal using the "touch" command 10:31 How to run Python script using the PyCharm terminal 12:07 How to hide and unhide the PyCharn terminal 12:27 PyCharm terminal conclusion 12:31 How you can run a Python script in PyCharm without using the terminal 12:59 How to close the PyCharm app 13:11 What to do if you need help or want to improve using PyCharm. 13:41 Outro

This video will teach you everything you need as a beginner to write Python programs using PyCharm on any Linux distro and Windows 11. 00:00 Intro 00:18 How to open PyCharm on Linux 00:37 How to open PyCharm on Windows 11 00:14 How to exit project in PyCharm 01:20 How to open projects in PyCharm 01:35 How to create new projects in PyCharm 03:10 How to maximize the PyCharm window 03:19 How to change the PyCharm theme 03:46 Introduction to PyCharm project tool window 03:54 How to hide items in the folder in PyCharm project tool window 04:00 How to view items in the folder in PyCharm project tool window 04:05 How to create a new folder using the PyCharm project tool window 04:37 How to create a new Python script using the PyCharm project tool window 05:24 How to close Python Scripts in the PyCharm editor panel 05:31 How to open Python Scripts in the PyCharm editor panel using PyCharn project tool window 05:39 PyCharm project conclusion 05:51 How to minimize the “project tool window” 06:00 How to make the “Project tool window” show up 06:14 Introduction to PyCharm editor panel 06:20 How to edit Python script using PyCharm editor panel 07:00 How to use the "cd" command to move around the file path in PyCharm terminal 07:49 How to use the "ls" command to see a list of all the folders and files contained inside your current folder in the PyCharm terminal 08:00 Example of using the "cd" command in the PyCharm terminal 08:34 How to create folders using the PyCharm terminal using the "mkdir" command 09:31 How to create Python files using the PyCharm terminal using the "touch" command 10:31 How to run Python script using the PyCharm terminal 12:07 How to hide and unhide the PyCharn terminal 12:27 PyCharm terminal conclusion 12:31 How you can run a Python script in PyCharm without using the terminal 12:59 How to close the PyCharm app 13:11 What to do if you need help or want to improve using PyCharm. 13:41 Outro

GUI Tutorial 3-Python Tkinter -Area Of Triangle-Computer Programming Tutor

GUI Tutorial 3-Python Tkinter -Area Of Triangle-Computer Programming Tutor

Python

Python

a text book for learning python.