Python

Logging is one of the best ways to keep track of what is going on inside your code while it is running. Python comes with a very powerful logging library but with great power… things start to get a bit complicated.

Is it a copy or a view? Should I merge or join? And what the heck is MultiIndex?

:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities. - fabioca...

AI code-writing assistant that understands data content - approximatelabs/sketch: AI code-writing assistant that understands data content

This is part 1 in my series on writing modern idiomatic pandas. Modern Pandas Method Chaining Indexes Fast Pandas Tidy Data Visualization Time Series Scaling As I sit down to write this, the third-most popular pandas question on StackOverflow covers how to use pandas for large datasets. This is in tension with the fact that a pandas DataFrame is an in memory container. You can’t have a DataFrame larger than your machine’s RAM.

In early 2023, the print copy of my book Analyzing US Census Data: Methods, Maps, and Models in R will be available for purchase.

There are so many amazing Python libraries and tools out every year that it's hard to keep track of them all. That's why we share with you our hand-picked selection of our best picks.

To make your programs more readable and easier to debug

This tutorial will give you a firm grasp of Python’s approach to async IO, which is a concurrent programming design that has received dedicated support in Python, evolving rapidly from Python 3.4 through 3.7 (and probably beyond).

This is a collection of documents published by the BBC R&D Cloudfit team delving into the detail of technologies we have found interesting or useful during the course of our work.

Asyncio allows us to use asynchronous programming with coroutine-based concurrency in Python. Although asyncio has been available in Python for many years now, it remains one of the most interestin…

Typer, build great CLIs. Easy to code. Based on Python type hints. - tiangolo/typer: Typer, build great CLIs. Easy to code. Based on Python type hints.

Or why I should write fewer integration tests.

In this introductory tutorial, we'll look at what Python decorators are and how to create and use them.

In this step-by-step tutorial, you'll learn how to create managed attributes, also known as properties, using Python's property() in your custom classes.

This article looks at the very basics of using pytest for testing Python code.

A tool for refurbishing and modernizing Python codebases - dosisod/refurb: A tool for refurbishing and modernizing Python codebases

Modern scheduling library for Python. Contribute to Miksus/rocketry development by creating an account on GitHub.

Learn numpy - Filtering data with a boolean array

Learn to scrape LinkedIn data with Python legally and without using a headless browser. Step-by-step guide and ready to use code inside!

This tutorial demonstrates how to convert an image to grayscale in Python

`pls` is a prettier and powerful `ls` for the pros. - GitHub - dhruvkb/pls: `pls` is a prettier and powerful `ls` for the pros.

Modern scheduling library for Python. Contribute to Miksus/red-engine development by creating an account on GitHub.

PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement - GitHub - prql/prql: PRQL is a modern language for transforming data — a simple, powerful, pipelined...

Objectiv Bach provides Pandas-like DataFrames backed by SQL

Python utility for tracking third party dependencies within a library - GitHub - IBM/import-tracker: Python utility for tracking third party dependencies within a library

Memray is a memory profiler for Python. Contribute to bloomberg/memray development by creating an account on GitHub.