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This #goodolddays box is #true - except things are MUCH BETTER NOW! But if you want to #learn #programming - well good luck. #Python #basic -erUr5W5beD1

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

[ Reading] After Work Introduction To Python Programming

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

Python. An Introduction To Programming ( Chapter 10 Basic Algorithms)

Python. An Introduction To Programming ( Chapter 9 Multimedia)

Python. An Introduction To Programming ( Chapter 9 Multimedia)

Python Programming

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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.

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.

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.

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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.

python and mathematics book

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

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)

Certified Associate in Python Programming (PCAP)

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.

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'

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

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

a text book for learning python.

Python Programming Basic Arabic Course

Programming Basics (with Python) course @ SoftUni

Programming Basics (with Python) course @ SoftUni

Learn Python Programming Masterclass

Concurrent programming in Python may be hard. A lot of solutions exists though. Most of them are based on an eventloop. This talk will present what I discovered and tested along the time with code examples, from asyncore to asyncio, passing by gevent, eventlet, twisted and some new alternatives like evergreen or gruvi. It will also present my little experiment in porting the Go concurrency model in Python named [offset](http://github.com/benoitc/offset), how it progressed in 1 year and how it became a fully usable library . This presentation will be an update of the presentation I gave at the FOSDEM 2014. It will introduce to the concurrency concepts and how they are implemented in the different libraries.

Concurrent programming in Python may be hard. A lot of solutions exists though. Most of them are based on an eventloop. This talk will present what I discovered and tested along the time with code examples, from asyncore to asyncio, passing by gevent, eventlet, twisted and some new alternatives like evergreen or gruvi. It will also present my little experiment in porting the Go concurrency model in Python named [offset](http://github.com/benoitc/offset), how it progressed in 1 year and how it became a fully usable library . This presentation will be an update of the presentation I gave at the FOSDEM 2014. It will introduce to the concurrency concepts and how they are implemented in the different libraries.

Concurrent programming in Python may be hard. A lot of solutions exists though. Most of them are based on an eventloop. This talk will present what I discovered and tested along the time with code examples, from asyncore to asyncio, passing by gevent, eventlet, twisted and some new alternatives like evergreen or gruvi. It will also present my little experiment in porting the Go concurrency model in Python named [offset](http://github.com/benoitc/offset), how it progressed in 1 year and how it became a fully usable library . This presentation will be an update of the presentation I gave at the FOSDEM 2014. It will introduce to the concurrency concepts and how they are implemented in the different libraries.

[ Reading] After Work Python Programming Basics

Python Object Oriented Programming OOP For Beginners

THE COMPLETE BEGINNER’S GUIDE TO LEARNING THE MOST POPULAR PROGRAMMING LANGUAGE. By: Dylan Penny

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