| | | | Python: The Documentary | An Origin Story
“This is the story of the world’s most beloved programming language: Python. What began as a side project in Amsterdam during the 1990s became the software powering artificial intelligence, data science and some of the world’s biggest companies.”
YOUTUBE.COM video
Tracking Malicious Code Execution in Python
Learn about the different ways code analysis can be done to detect malicious code in libraries, and why it is sometimes a challenging endeavor.
ARTEM GOLUBIN
Your guide to writing DAGs in Apache Airflow®
 Airflow’s Python based framework makes it easy to get started, but you need to set a strong foundation or risk building fragile pipelines. Join Astronomer’s webinar on September 4 to learn proven DAG writing tips to build more reliable workflows →
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How to Write Docstrings in Python
Learn to write effective Python docstrings that clearly and professionally document your code using best practices and built-in conventions.
REAL PYTHON
Quiz: How to Write Docstrings in Python
REAL PYTHON
Articles & Tutorials
5 Common Bottlenecks in pandas Workflows
Fan screaming? Laptop grinding to a halt? You’re probably running pandas on more data than your CPU wants to handle. This post breaks down five common bottlenecks in pandas (slow reads, memory-heavy joins, sluggish groupbys), typical CPU workarounds, and how a one-line cudf.pandas extension unlocks GPU acceleration—with example code and Colab links to try.
JAMIL SEMAAN • Shared by Jamil Semaan
Delta Lake: Transform pandas Prototypes Into Production
Discover how to elevate your pandas-based data workflows using delta-rs: a bridge between simple Python prototyping and robust, versioned data lakes. Learn to write, append, and time-travel through Delta tables using pandas (or Polars, Dask, DuckDB), all without Spark or JVM overhead.
KHUYEN TRAN • Shared by Khuyen Tran
Introducing an Intuitive IDE for Code and Data
 Positron offers an intuitive environment for exploring data, plots, apps, and connections within your IDE →
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SyntaxWarning: return in a finally Block
Returns in the finally portion of a try/except/finally block don’t necessarily behave as you might expect. As such, Python 3.14 warns you about them and they may become a syntax error in the future.
ADAM JOHNSON
pypistats.org Is Now Operated by the PSF
The pypistats.org site hosts analytics data for the Python Package Index (PyPI). For six years, pypistats.org was maintained by outside volunteers, but it has now transitioned to the PSF umbrella.
PYTHON SOFTWARE FOUNDATION
Working With JSON Data in Python
Learn how to work with JSON data in Python using the json module. Convert, read, write, and validate JSON files and handle JSON data for APIs and storage.
REAL PYTHON
Python 3.14 Preview: Lazy Annotations
Explore how Python 3.14’s lazy evaluation of annotations boosts performance, fixes chronic type hinting issues, and unlocks powerful new runtime uses.
REAL PYTHON
Quiz: Python Annotations
REAL PYTHON
Deep vs Shallow Copies in Python
Understand the difference between shallow and deep copies in Python. Learn how to duplicate objects safely using the copy module and other techniques.
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Where to Host Your Python App
Whether it’s Django, Flask, FastAPI, or some other Python web framework, your hosting options are plenty. This guide will show you how to choose.
JEFF MORHOUS • Shared by Jeff Morhous
Expressions Are Coming to pandas
pandas 3.0 will see a new syntax introduced, bringing it closer to more modern dataframe libraries. Let’s learn about why, and how to use it
MARCO GORELLI • Shared by Marco
Quiz: Python Skill Test
Test your Python knowledge in a skill quiz with basic to advanced questions. Are you a Novice, Intermediate, Proficient, or Expert?
REAL PYTHON
Real-Time Reports With pytest
This article describes how you can use custom Pytest hooks to generate real-time reports.
CHRISTOS LIONTOS • Shared by Christos liontos
Chained Operations
Exploring chained operations and order of evaluation in python expressions
SUBSTACK.COM • Shared by Vivis Dev
Skylos: Framework-Aware Dead-Code Finder
Skylos is a Python dead-code finder focused on accuracy and speed. It’s framework-aware (Django/FastAPI/Flask) and test-aware (files/fixtures/marks), so it avoids the classic false positives. It ships an interactive CLI for selective cleanup, and includes safe LibCST codemods for unused imports/functions. There’s also an optional web UI with a confidence threshold to control noise.
GITHUB.COM/DURIANTACO • Shared by oh aaron
Projects & Code
Brought to you by Real Python for Teamssponsor
Online Python training created by a community of experts. Give your team the real-world Python skills they need to succeed →
colour: Colour Science for Python
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alive-progress: Progress Bar With Real-Time Throughput
GITHUB.COM/RSALMEI
eyeD3: Process ID3 Tags in Mp3 Files
GITHUB.COM/NICFIT
beets: Music Library Manager
GITHUB.COM/BEETBOX
dejavu: Audio Fingerprinting and Recognition
GITHUB.COM/WORLDVEIL
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