| | | | NumPy Array Type Hints
Thanks to improvements in NumPy typing support, NumPy generic arrays can now type both shape and dtype, offering opportunities for improved static analysis and run-time validation.
CHRISTOPHER ARIZA • Shared by Christopher Ariza
The LEGB Rule & Understanding Python Scope
In this step-by-step video course, you’ll learn what scopes are, how they work, and how to use them effectively to avoid name collisions in your code.
REAL PYTHON course
Prevent Postgres Slowdowns on Python Apps with this Check List
 Avoid performance regressions in your Python app by staying on top of Postgres maintenance. This monthly check list outlines what to monitor, how to catch slow queries early, and ways to ensure indexes, autovacuum, and I/O are performing as expected →
PGANALYZEsponsor
Pyrefly vs. ty: Comparing Python’s New Type Checkers
A deep dive on Python’s two newest, Rust-based type checkers. This post includes both performance and capability comparisons.
EDWARD LI
Python Release 3.14.0b2
PYTHON.ORG
PyBay 2025 Call for Proposals Due June 8
PYBAY.ORG
Discussions
Django Forum: Supporting t-strings
DJANGO SOFTWARE FOUNDATION
Ruff Users: What Rules Are Using and What Are You Ignoring?
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Python Jobs
Sr. Software Developer (Python, Healthcare)
PRENOSIS 📍 USA
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Articles & Tutorials
Journey Into Real Python
Amanda has recently written her first article for Real Python and this post talks about her experience doing so. If you want to check out the article, it is on Nested Loops.
AMANDA ENE ADOYI
Ways to Optimize Your Code in Python
Learn four ways to optimize your Python project and improve performance, including choosing the right data structures, variable scopes, list comprehensions and generators, and how to leverage built-in libraries.
FEDERICO TROTTA • Shared by AppSignal
DumPy: NumPy Except It’s OK if You’re Dum
In a follow-up to the article I Don’t Like NumPy, this post proposes a way of writing code that looks like loops but use vector operations instead.
DYNOMIGHT.NET
How to Split Up a Django Monolith Without Microservices
Facing too much complexity in your Django application as a developer? This articles introduces django-queuebie, a synchronous message queue working with commands and events.
RONNY VEDRILLA • Shared by Ronny Vedrilla
Control Flow Structures in Python
Take control of your code with Python control flow structures. You’ll learn with real examples using loops, conditionals, try-except blocks, and pattern matching.
REAL PYTHON
Quiz: Control Flow Structures in Python
REAL PYTHON
Python pandas Ditches NumPy for Speedier PyArrow
Pandas 3.0 will significantly boost performance by replacing NumPy with PyArrow as its default engine, enabling faster loading and reading of columnar data.
JOAB JACKSON
Writing Portable DataFrame Code for Lazy Execution
Learn one simple concept, and you can rid your code of row-ordering assumptions - it will then work seamlessly across eager and lazy DataFrames
MARCO GORELLI • Shared by Marco Gorelli
Marimo: A Reactive, Reproducible Notebook
Discover how marimo notebook simplifies coding with reactive updates, UI elements, and sandboxing for safe, sharable notebooks.
REAL PYTHON
Quiz: Marimo: A Reactive, Reproducible Notebook
REAL PYTHON
Another Great PyCon
A post about the highlights of PyCon US 2025 from one of the volunteers.
GEORGI KER
Pointblank: Data Validation for DataFrames and DBs
POSIT-DEV.GITHUB.IO • Shared by Richard Iannone
Projects & Code
Brought to you by Real Python for Teamssponsor
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skylos: Detect Dead Code
GITHUB.COM/DURIANTACO
samps: Serial Port I/O Access
GITHUB.COM/MICHEALROBERTS
whatsonpypi: Check PyPI From the Command Line
GITHUB.COM/VISESHRP • Shared by visesh prasad
mutmut: Mutation Testing System
GITHUB.COM/BOXED
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