Downloads & Free Reading Options - Results

Mathematics; Computer mathematics; Numerical analysis; Computer software; Numerical analysis

Numerical simulations; programming; Python

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.

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.

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.

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

Python is one of the powerful, high-level, easy to learn programming language that provides a huge number of applications. Some of its features, such as being object-oriented and open-source, having numerous IDE’s, etc. make it one of the most in-demand programming languages of the present IT industry.  According to TIOBE index, as of January 2020, Python is one of the popular programming languages. By looking at the popularity of this programming language, many IT professionals, both beginners as well as experienced alike, are willing to build their career as a Python developer.  Readers reviews: This is a VERY short introduction to Python and makes a number of mistakes throughout. For example, this is a piece of code: if True; print “True”; The first semicolon “;” should be a colon, and the second colon in the print line should not be there. The semicolon is used many times where it should not have appeared.

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

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

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

asdw

Catherine Moroney https://2017.northbaypython.org/schedule/presentation/24/ Python is an incredibly powerful and versatile language, but it is not practical for lots of deeply nested loops because it's not compiled, and a lot of the big scientific libraries only have C interfaces. But, if you bring Fortran (via f2py) and C (Cython) into the mix then you can use the best features of all three languages and shrink your development/maintenance time and resulting code size by almost an order of magnitude. My satellite has a lot of legacy code in a Perl/C/Fortran mixture that is incredibly difficult to read and maintain, but our new software is in a Python/C/Fortran mixture (with Python being the bulk of the code) that is a fraction of the size of the old code, much much easier to develop and maintain, yet it has the speed and stability to be used in our production system. I use Python for the upper and middle layers, Fortran for the few places where I need to do lots of looping that cannot be transformed into whole-array operations, and then C to interface with the various 3rd party libraries. I can wrap Fortran and C using f2py and Cython respectively, call them directly from the Python, and pass numpy arrays back and forth seamlessly. I also have layers of scripts: a Python code to run a single orbit's worth of data through a single stage of the processing pipeline, a second Python script to run multiple orbits through a single stage, and then a third script that runs the entire processing chain through many orbits, thereby using Python's numerous scripting capabilities. By using all three languages as described above, I truly get the best of all worlds: dramatically reduced development time, a code base that is a fraction of the size of the old legacy system, yet all the speed and stability I need to process huge amounts of data. About North Bay Python A single-track conference north of the Golden Gate, focused on community, collaboration, and all things Python. North Bay Python is a two-day, single-track Python conference held at the Mystic Theatre in Historic Downtown Petaluma, California, over the weekend of December 2 & 3, 2017. We're a nonprofit conference for professionals, enthusiasts and students alike. We're focused on inclusion, accessibility, diversity, and affordability. Most importantly, we're planning a great lineup of talks from all over the Python ecosystem, with plenty of time to meet new people and develop new ideas. Our venue, the Mystic Theatre in Downtown Petaluma, is a beautiful example of an early 1900s Vaudeville theatre. You can find over 50 different food and drink options a short walk away, and the nearest hotel is only a block away. A Python conference north of the Golden Gate North Bay Python is a single-track conference with a carefully curated set of talks representing the diverse Python community and their different areas of interest. If a topic is less to your interest, or you've met some people you really want to sit down and chat with, we'll have plenty of areas away from the main theatre to catch up and chat. Our goal is to keep prices as low as possible. That means we won't be catering lunch. Instead, you can look forward to extra-long lunch breaks you can use to explore all of the great food options around the venue.

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.

On the Auspicious Occasion of the 150th Year of Celebrating Gandhi Jayanti. A Small Contribution to  archive.org . Dated: 02.10.2019 This book aims to cover Socket Programming using Python. AJIT SINGH  Patna Women's College, INDIA https://archive.org/details/@ajit-singh  

random2, '2-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'

random2, '2-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'

Luciano Ramalho https://pretalx.northbaypython.org/nbpy-2023/talk/AAS398 Java is object oriented and Haskell is functional. How about Python? Is it really OO with free-standing functions and porous encapsulation? Python has lambdas and closures, but is it functional? Are these useful questions? North Bay Python is a boutique one-track conference, held in Petaluma, California. Our first events were held in 2017-2019 in a 100 year-old theater in the city's downtown. After a planned one-year break that's turned into almost four years, we're excited to return! This year, we're holding our conference in July, in a barn, on a ranch overlooking the Petaluma River. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Sat Jul 29 16:10:00 2023 at Reis River Ranch

ب

ب

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

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

This article provides information about parametric linear equations. Mathematical solution and analysis of several examples in Python programming language were shown.

Certified Associate in Python Programming (PCAP)

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

Bethany Poulin https://www.pyohio.org/2019/presentations/139 ## What is Linear Programming Linear programming is an optimization method with broad utility. Sadly the study of linear programming is often overlooked in favor of sexier machine learning algorithms by both practitioners and data science educators (both bootcamps and graduate programs). However, it is used extensively in many of the fields from which data science evolved and there are useful libraries in most of the major analytical languages. We will spend 5-10 minutes understanding linear programming in general before moving on to code ## Linear Programming in Python In Python, the most common library is Pulp which we will use to look at two separate optimization problems, one to minimize and one to maximize a desired outcome variable. We will go through: System requirements Package Installation Computational Complexity (floating values & discrete number calculations) ## Real World Examples with Code We will be setting up and completing the two problems. In doing so we will learn how to simplify a complex system into a series of linear equations. We will learn about: * Decision Variables - the outcomes we choose to optimize * Objective Function - the series of relationships between decision variables which affect the optimization * Constraints - the limits on our decision variables which allocate resources * How to visualize the problem (it could be a graph or simple illustration) * How to set up the equations defining the problem * How to solve the series of equations * How to interpret the results * How to know when you can, should or should not use linear programming to solve a problem The presentation will be assume a base understanding of python algebra and linear equations (y=mx+b) but it is not going to be presented in a mathematically demanding way. We will look at real-world resource allocation problems and use simple python code to solve them. ### Resources There will be a fully fleshed out GITHUB repository with: * The slides * The code * Brief instructional README.md with links to other useful online sources Linear programming is a useful computational technique for finding minima or maxima of a complex system by breaking it into a series of linear equations which describe the systems. It has many practical applications in industry, medicine, agriculture and in retail environments. Together we will explore simple linear programming problems using Python and the module Pulp. === 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 Sat Jul 27 14:00:00 2019 at Cartoon 2

Python A-Z - Learn Python Programming By Building 5 Projects

Python An Introduction To Programming Chapter 6 Classes

Python An Introduction To Programming( Chapter 7 Introduction To Graphics Programming)

Python Programming ★ Complete Computer Course - With English Subtitles I found a 4 DVD set with 24 Lessons in Python HERE:  https://archive.org/details/python-programming-dvd-iso and I'm grateful to the uploader. 24 MKV Video with English Subtitles - and 24 derived MP4 Videos also with English Subtitles. You have to download the videos to your device and play them from there in order to use the subtitles. You may download the ★ entire series of MKV videos, with subtitles ★ all at once, HERE (22.3 GB):  https://archive.org/compress/python_programming/formats=MATROSKA&file=/python_programming.zip You may download the ★ entire series of MP4 videos, with subtitles ★ all at once, HERE (3.1 GB): https://archive.org/compress/python_programming/formats=MPEG4&file=/python_programming.zip ____________________________________________________________________________________ Copyright Disclaimer: Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. These videos are all to be used only for free, personal, educational purposes. ___________________________________________________________________________________

William Horton https://www.pytexas.org/2019/talk/U2Vzc2lvbk5vZGU6OTU= It's 2019, and Moore's Law is dead. CPU performance is plateauing, but GPUs provide a chance for continued hardware performance gains, if you can structure your programs to make good use of them. In this talk you will learn how to speed up your Python programs using Nvidia's CUDA platform. PyTexas2019 The PyTexas Foundation was organized as a Texas non-profit corporation in 2014 and received its 501(c)(3) recognition in early 2015. Although we cannot guarantee that your contribution to PyTexas will be tax-deductible (we aren't tax attorneys and just don't know), you can rest assured that any contributions to the organization will always be used to further the common goals of the Texas Python community, and never for personal benefit. PyTexas is the annual, regional gathering for the Python community in Texas. PyTexas is organized and run by community volunteers. PyTexas, like most of the Python community, is focused on providing a diverse and enjoyable experience for everyone interested in Python. Please help us do that by following the code of conduct. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Python Sat Apr 13 15:15:00 2019 at Special Event Center

William Horton https://www.pytexas.org/2019/talk/U2Vzc2lvbk5vZGU6OTU= It's 2019, and Moore's Law is dead. CPU performance is plateauing, but GPUs provide a chance for continued hardware performance gains, if you can structure your programs to make good use of them. In this talk you will learn how to speed up your Python programs using Nvidia's CUDA platform. PyTexas2019 The PyTexas Foundation was organized as a Texas non-profit corporation in 2014 and received its 501(c)(3) recognition in early 2015. Although we cannot guarantee that your contribution to PyTexas will be tax-deductible (we aren't tax attorneys and just don't know), you can rest assured that any contributions to the organization will always be used to further the common goals of the Texas Python community, and never for personal benefit. PyTexas is the annual, regional gathering for the Python community in Texas. PyTexas is organized and run by community volunteers. PyTexas, like most of the Python community, is focused on providing a diverse and enjoyable experience for everyone interested in Python. Please help us do that by following the code of conduct. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Python Sat Apr 13 15:15:00 2019 at Special Event Center

William Horton https://www.pytexas.org/2019/talk/U2Vzc2lvbk5vZGU6OTU= It's 2019, and Moore's Law is dead. CPU performance is plateauing, but GPUs provide a chance for continued hardware performance gains, if you can structure your programs to make good use of them. In this talk you will learn how to speed up your Python programs using Nvidia's CUDA platform. PyTexas2019 The PyTexas Foundation was organized as a Texas non-profit corporation in 2014 and received its 501(c)(3) recognition in early 2015. Although we cannot guarantee that your contribution to PyTexas will be tax-deductible (we aren't tax attorneys and just don't know), you can rest assured that any contributions to the organization will always be used to further the common goals of the Texas Python community, and never for personal benefit. PyTexas is the annual, regional gathering for the Python community in Texas. PyTexas is organized and run by community volunteers. PyTexas, like most of the Python community, is focused on providing a diverse and enjoyable experience for everyone interested in Python. Please help us do that by following the code of conduct. Produced by NDV: https://youtube.com/channel/UCQ7dFBzZGlBvtU2hCecsBBg?sub_confirmation=1 Python Sat Apr 13 15:15:00 2019 at Special Event Center

This lecture is not necessar if you have programming experience. Unless you are interested in checking out some picture of Spain Madrid. We will be mainly learning about the concept of variables which should be relatively easy for most people. Learn how to create a photo display. The concentration of this lecture is about variables. Talk about the basic types of variables such as integer, float, string, and Booleans. Talk about local and global variables. You will learn: The 4 basic different types of variables.(integer, float, string, boolean), learn the concept of global and local variables. How do you find out what type a variable is, when do you use single or double quotes for strings

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

a text book for learning python.

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

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

This article describes the training of artificial neural network. A program for training a single – layer neural network is created and the result is shown.

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.

Python Programming Basic Arabic Course

Programming Basics (with Python) course @ SoftUni

Google Tech Talks March 14, 2007 ABSTRACT Design Patterns must be studied in the context on the language in which they'll get implemented (the Gang of Four made that point very strongly in their book, though almost everybody else seems not to have noticed:-). This talk explores several categories of classic "elementary" DPs in a Python context -- Creational, Masquerading, Adaptation, and Template. Credits: Speaker:Alex Martelli Source: https://www.youtube.com/watch?v=1Sbzmz1Nxvo Uploader: GoogleTechTalks Upload date: 2007-10-08

Google Tech Talks March 14, 2007 ABSTRACT Design Patterns must be studied in the context on the language in which they'll get implemented (the Gang of Four made that point very strongly in their book, though almost everybody else seems not to have noticed:-). This talk explores several categories of classic "elementary" DPs in a Python context -- Creational, Masquerading, Adaptation, and Template. Credits: Speaker:Alex Martelli Source: https://www.youtube.com/watch?v=1Sbzmz1Nxvo Uploader: GoogleTechTalks Upload date: 2007-10-08

MIT 6.0001 Introduction to Computer Science and Programming in Python, Fall 2016 View the complete course: http://ocw.mit.edu/6-0001F16 Instructor: Dr. Ana Bell 6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language. *** Correction for Lecture_02_exercise_04: The right answer should be print "You got out of the Lost Forest!" *** License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

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.