| Python’s Assert: Debug and Test Your Code Like a Pro
Learn how to use Python’s
assert statement to document, debug, and test code in development.
How to Download Books Concurrently From Project Gutenberg
Using threads to download multiple books from Project Gutenberg at the same time.
Troubleshoot Python Application Performance Errors Fast With Datadog’s end-to-end Tracing
Datadog’s APM generates detailed flame graphs to help you identify bottlenecks and latency in your code. Navigate seamlessly between Python application traces to relevant logs and metrics to troubleshoot and resolve the application error without switching tools or context. Try Datadog APM free →
Interactive Visualizations With Pandas, Seaborn and Ipywidgets
Creating interactive visual output using ipywidgets.
PyPy v7.3.8 Released With Support for Python 2.7, 3.7-3.9
Python Core Moving Bug Tracking to Github
Tomli TOML Parser Will Be in Python 3.11 Standard Library
GITHUB.COM/HUKKIN • Shared by Markku Leiniö
How to write better scientific code in Python?
Discussion about Oleg Żero’s article of the same name.
Logging Levels: Rule-of-Thumb to Assign Log Levels
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Articles & Tutorials
Starting With Linear Regression in Python
Linear regression is a statistical and machine learning technique, learn how to do it in Python.
REAL PYTHON course
A Guide to Outlier Detection in Python
Outlier detection is the process of identifying data points that have extreme values compared to the rest of the distribution. Python offers a number of packages for carrying this analysis out.
Performance Monitoring Built for Developers, by Developers
Scout APM is an application performance monitoring tool that ties performance anomalies directly to endpoints, saving developers hours of time spent on troubleshooting and debugging. See why Scout is a developer’s best friend with a free 14-day trial, no credit card required →
How to Use Python’s Py Launcher for Windows
“Take control of multiple Python installations in Windows with the py launcher, available as part of a standard Python installation.”
Red Flags to Look Out for When Joining a Data Team
What to consider for in terms of the current data situation, roadmaps, role and expectations, tooling, and more.
How to Deploy a Jupyter Notebook to Docker
What Docker is, why you should use it, and how to deploy a Jupyter notebook in a container.
The Thirty Minute Rule
What to do when you get stuck on a coding issue for more than 30 minutes.
DANIEL ROY GREENFELD
NumPy Examples: 45 Practice Questions
Practice questions to perfect your NumPy skills. Answer key available.
Mocking in Python Has Never Been Easier
How to use Pytest’s Mock Generator to simplify your test writing.
PETER KOGAN • Shared by Peter Kogan
Marathon Training Analysis Using the Strava API and Python
How to use the Strava API and Python to analyze race day data.
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Faster NumPy Through Numba
Using Numba, a just-in-time compiler for NumPy arrays.
Testing Weak References
Testing when using weak-referenced objects.
Projects & Code
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black on Python Code Blocks in Documentation Files
codecat: Open-Source Static Code Analysis
pyTermTk: Python Terminal Toolkit, TUI widget library
mercury: Tool for Converting Python Notebook to a Web App
GITHUB.COM/MLJAR • Shared by Piotr
Practical Python Projects Book
YASOOB.ME • Shared by Yasoob Khalid
Cheat Sheets for Django Class-Based-Views