Browse Reddit from your terminal. Contribute to michael-lazar/rtv development by creating an account on GitHub.

This article aims to simplify the process of deploying, maintaining, and scaling a production-grade Django app on Heroku.

Python library for efficient multi-threaded data processing, with the support for out-of-memory datasets.

Using a proper data validation method for great software quality improvement.

Python 3.7 introduced dataclasses, which design is based on the "attrs" library. This article will show the way I use dataclasses and attrs, why I think you should use both, and why I think attrs is still very relevant.

Accuracy is often used to measure the quality of a classification. It is also used for clustering. However, the scikit-learn accuracy_score function only provides a lower bound of accuracy for clustering. This blog post explains how accuracy should be computed…

In this step-by-step tutorial, you'll learn about the practical differences in Python vs Java for object-oriented programming. By the end, you'll be able to apply your knowledge to Python, understand how to reinterpret your understanding of Java objects to…

We usually think of an algorithm as a single function with inputs and outputs. Our algorithms textbooks reinforce this notion. They present very concise denoscriptions that neatly fit in half of a pa…

The official home of the Python Programming Language

The Summit began with six pre-selected lightning talks, with little time for discussion of each. Five of them are summarized here. An upcomi...

To increase the security of Python package downloads, we're beginning to introduce two-factor authentication (2FA) as a login security optio...

What happens when a programming language grows up

Our Journey to Python 3

A simple walkthrough of deriving backpropagation for CNNs and implementing it from scratch in Python.

In this step-by-step tutorial, you'll get a clearer understanding of Python's object model and learn why pointers don't really exist in Python. You'll also cover ways to simulate pointers in Python without the memory-management nightmare.

A simple walkthrough of deriving backpropagation for CNNs and implementing it from scratch in Python.

Highlights of new Python 3 features and backward incompatibilities. Also, demonstrate how to migrate projects from Python 2 to Python 3. Blog post with more ...

Since the acquisition of Travis CI, the future of their free offering is unclear. Azure Pipelines has a generous free tier, but the examples I found are discouragingly complex and take advantage of features like templating that most projects don’t need. To…

How do you make robust #Python apps with Flask? Let’s explore recipes for building a complete #production-ready #Flask #application. toptal.com/url-pending