Cool for you: Python Polars swims through dataframes

This half-month Python report includes a quick guide to writing Python code in 2024, how to build Python-based data-driven web apps without a line of JavaScript, and 10 smart ways to make Python faster. We also have an intro to the one library Python users lean on for faster math at scale—and do check out all the breezy updates in Python Polars 1.0.0-rc.1.

Top picks for Python readers on InfoWorld

4 keys to writing modern Python
Ditch the oldandbusted.py, embrace the newhotness.py—this update includes Python’s new type hinting syntax and structural pattern matching, among other goodies.

Intro to Streamlit: Web-based Python data apps made easy
Yes, you can write Python web apps without a whiff of HTML, CSS, or JavaScript. No, really.

10 tips for speeding up Python programs
Apply these tips to satisfy your need, your need for speed.

What is NumPy? Faster array and matrix math in Python
NumPy is Python’s secret weapon for data science, and here’s why.

Python updates elsewhere

CPython garbage collection: The internal mechanics and algorithms
Get the dirty scoop (er, inside view) on how Python takes out the trash.

Python Polars 1.0.0-rc.1 released
One of Python’s coolest dataframe-wrangling libraries—already up to 10x faster than Pandas—just got a whole lot cooler.

A JIT compiler for CPython
Core Python developer Brandt Bucher introduces one of Python’s niftiest (and least understood) features in this video from the 2023 CPython Core Developer Sprint.

Make Python DevEx
How does Target’s Tech Data Sciences Group use Python? Let the developers tell you themselves.