A Quick Look generator for Jupyter/IPython notebooks without further dependencies - GitHub - tuxu/ipynb-quicklook: A Quick Look generator for Jupyter/IPython notebooks without further dependencies

Wraps GEOS geometry functions in numpy ufuncs. Contribute to pygeos/pygeos development by creating an account on GitHub.

coverage guided fuzz testing for python. Contribute to fuzzitdev/pythonfuzz development by creating an account on GitHub.

Data validation using Python type hints. Contribute to pydantic/pydantic development by creating an account on GitHub.

Safe and composable assert for Python that can be used together with optimised mode - sobolevn/safe-assert

Obfuscating Python. GitHub Gist: instantly share code, notes, and snippets.

I'm really excited to finally, officially, share a new(ish) project called
napari with the world.
We have been developing napari in the open
from the very first commit, but we didn't want to make any

This tutorial details how to configure Flask to run on Docker along with Postgres, Nginx, and Gunicorn.

An open-source book about Python and OpenGL for Scientific Visualization based on experience, practice and descriptive examples

This article includes tips on how to clean up messy currency data in pandas so that you may convert the data to numeric formats for further analysis.

Al Sweigart is an accomplished developer, conference speaker, teacher, and origamist. But some may know him best for his numerous Python programming books, such as Automate the Boring Stuff with Python.

Keras and TensorFlow 2.0 provide you with three methods to implement your own neural network architectures:, Sequential API, Functional API, and Model subclassing. Inside of this tutorial you’ll learn how to utilize each of these methods, including how to…

In this course, you'll look at Python type checking. Traditionally, types have been handled by the Python interpreter in a flexible but implicit way. Recent versions of Python allow you to specify explicit type hints that can be used by different tools to…

Though Python isn’t able to parallelize CPU-bound computation without extra effort (see Item 64: “Consider concurrent.futures for True Parallelism”), it is able to support high-throughput, parallel I/O in a variety of ways (see Item 53: “Use Threads for Blocking…

Python 3.9 is now available–but should you switch to it immediately? And if not now, when? The short answer is, no, you probably don’t want to switch immediately; quite possibly you can’t switch immediately. To understand why, we need to consider Python packaging…