Python 3.10 Match Statement Simplifies Code

Building the future of Python is a community effort! Nathan Goldbaum shares the story behind reaching 50% free-threaded wheel support across PyPI's most-downloaded packages. This milestone covers everything from low-level C extension porting to pure-Python test coverage, and it shows what's possible when a community moves together. Whether you're a maintainer, contributor, or curious developer, there's a role for you in the next 50%. See how you can help in our latest blog 🔗 https://lnkd.in/dnsfUvh2 #Python #FreethreadedPython #OpenSource #PyPI #Quansight #PythonCommunity

𝐏𝐲𝐭𝐡𝐨𝐧 𝐭𝐢𝐩𝐬 𝐟𝐫𝐨𝐦 𝐫𝐞𝐚𝐥‑𝐰𝐨𝐫𝐥𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬: After building a bunch of Python apps, here are 2 things I wish every beginner did from day one. ▪️𝐔𝐬𝐞 𝐚 𝐮𝐭𝐢𝐥𝐬.𝐩𝐲 𝐟𝐨𝐫 𝐜𝐨𝐦𝐦𝐨𝐧 𝐬𝐭𝐮𝐟𝐟 Don’t copy‑paste the same code everywhere. Keep your reusable functions in a utils.py and import them when needed. ▪️𝐋𝐨𝐠 𝐲𝐨𝐮𝐫 𝐞𝐫𝐫𝐨𝐫𝐬 𝐩𝐫𝐨𝐩𝐞𝐫𝐥𝐲 Skip empty except blocks. Set up a simple logger.py that writes errors to a log file so you always know what broke and where. #Python #SoftwareEngineering #CleanCode #ProgrammingTips

Midiscript.org | The core repo is a small Python DSL that turns files into… The core repo is a small Python DSL that turns `.ms` files into MIDI. Under the hood it’s a CLI + lexer + parser + MIDI generator.

Day 72 of filter() function: Today I explored Python’s powerful filter() function. It helps extract elements from lists based on conditions—like filtering even numbers or names containing specific letters. This concise approach makes code cleaner and more efficient. Github link: https://lnkd.in/gFtmaYZS #Python #CodingChallenge #100DaysOfCode #LearningInPublic #GitHub #CodeNewbie

Beyond Hypermodern: Python is easy now - Chris Arderne, https://lnkd.in/epPRikWA IA Summary: Python development, once a daunting maze of tools and configurations, is now remarkably easy thanks to modern innovations like `uv` and `ruff`. This guide offers a streamlined approach, enabling you to build maintainable projects with unparalleled speed and simplicity, from setup to monorepos. #python #dev #softwareengineering #hypermodern #bestpractices

Still making iterables like this? 🤦 Learn how to make a Python class iterable using the __iter__ dunder method. A simple Python tip to loop through objects directly instead of accessing their internal data. Are you using Python dunder methods in your projects?

Python Challenge #1 – Answer Revealed! b = a[:] ---> creates a shallow copy of a. So a and b are separate lists. Appending 4 to b changes only b, not a. #python #code #programmer #challenge #trending #list

Hot take: Python is fast enough for most things. For the other things? 🦀 Rust. Just published a guide on using PyO3 v0.28 + maturin to drop Rust into your Python stack — the same approach Polars, Ruff, and Pydantic v2 use. One function. Native speed. Still pip install-able. 👉 https://lnkd.in/g794MZxa #Rust #Python #PyO3 #Engineering #Performance

🔷 Understanding elif Conditional Statement in Python. 👉🏻When a single condition is not enough, Python gives us the elif statement to handle multiple conditions efficiently. elif stands for “else if” and allows you to check additional conditions if the previous ones are False. 🔎 How it works: ✔ Python checks conditions from top to bottom ✔ As soon as one condition is True, its block executes ✔ The remaining conditions are skipped ✔ If none are True, the else block runs. #Python #PythonProgramming #Coding #Programming #LearnToCode #ComputerScience #DataScience

🐍I love List Comprehensions in #Python! Many think they are hard and less readable... But once you understand the syntax they're actually much easier and more readable than the alternative... And they're also very flexible. You can create single/multiple loops, add filter condition, add value conditions... Super powerful and it's even a little faster than regular code. So I made this graphic in the past to help you better understand them. Happy Coding! -------------------- P.S. Did you know all these use cases for List Comprehension?