We list the best IDE for Python, to make it simple and easy for programmers to manage their Python code with a selection of specialist tools. An Integrated Development Environment (IDE) allows you to ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Two Point Campus continues in the already impressive footsteps of Two Point Hospital before it, dressing up an engaging business management sim in goofy irreverence. To be honest, its dorky, oddball ...

Take a look back at all the happenings from every NBA All-Star in league history from 1950-2025. RotoWire highlights the top performers from Week 17 of fantasy basketball. NBA Fantasy: High Score top ...

This repository contains the Jupyter Notebooks behind my O'Reilly report, A Whirlwind Tour of Python (free 100-page pdf). A Whirlwind Tour of Python is a fast-paced introduction to essential ...

On Point was born in the immediate aftermath of the attacks of 9/11, when the country was looking for answers and impatient with old certitudes. We still carry that urgency today: to test, challenge ...

The atlassian-python-api library provides a simple and convenient way to interact with Atlassian products (such as Jira Service management, Jira Software, Confluence, Bitbucket and apps Insight, X-Ray ...

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. The code in the book was tested with Python 3.5, though most (but ...

What is this book about? Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. This third ...

This repository is for the active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. For your ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...