News
Read Python Cheatsheet latest changes here.
If you find this project useful, don't forget to drop a star on GitHub 🎉 It helps enormously by giving visibility, reaching more developers, and finding more people willing to contribute.
Dependency graph supports the Python PEP 621 standard
Dependency graph now supports parsing Python dependencies for pyproject.toml files that follow the PEP 621 standard.
Researchers Uncover Obfuscated Malicious Code in PyPI Python Packages
Researchers have uncovered four new malicious packages in the Python Package Index (PyPI) that sneak malware onto developers' systems.
SPONSORED LINK
Deploy your Python app from your GitHub account or bring your Docker container. Launch in minutes at any of our 26 global data centers. Your app is hosted on Google Cloud and secured by Cloudflare. Plus, turn on the free CDN that has 275+ POPs. Add one or multiple databases and take advantage of internal connections. 24/7 expert live chat support is always there to help you. Deploy Your Python App Now, Start With a Free Trial!
Articles
Python/Django AsyncIO Tutorial with Example
If for some reason you or your team of Python developers have decided to discover the asynchronous part of Python, welcome to our quick tutorial on using Async IO in Python/Django.
Automating Spreadsheets with Python 101
This blog post is written for folks who’ve never used Python before but are curious how to start using it to automate their data work, and save hours a week they would normally be updating spreadsheets.
Improving Python Performance in an I/O-Bound Application
A case study in optimizing performance when interacting with a Redis cluster
Using DynamoDB With Python
In this tutorial, we will be using the Boto3 library to create and query tables, load data, and perform CRUD operations in DynamoDB and Python.
Generating a Static Site with Flask and Deploying it to Netlify
This tutorial shows how to leverage the JAMstack with Python and Flask by creating a static site and deploying it to Netlify
SPONSORED AD
Sponsor Python Cheatsheet 🧡
Python Cheatsheet is an open-source MIT licensed project that has been made possible due to the contributions of many Python developers. If you are interested in supporting this project, please consider becoming a sponsor on GitHub, or contributing by adding, fixing or improving content.
Projects
Prettymaps: Draw pretty maps from OpenStreetMap data
A Python package to draw maps with customizable styles from OpenStreetMap data. Created using the osmnx, matplotlib, shapely and vsketch packages.
Trio: A friendly Python library for async concurrency and I/O
The Trio project aims to produce a production-quality, permissively licensed, async/await-native I/O library for Python.
Django-hatchway: An unsurprising Django API framework
Hatchway is an API framework inspired by the likes of FastAPI, but while trying to keep API views as much like standard Django views as possible.
pyCirclize: Circular visualization in Python
This package is developed for the purpose of easily and beautifully plotting circular figure such as Circos Plot and Chord Diagram in Python.
AND FINALLY...
They always make you feel inferior 🧐
If you have any questions or suggestions, you can contact us at carlos@pythoncheatsheet.org.