Pip vs Conda: A Comparison of Python’s Two Packaging Systems
https://pythonspeed.com/articles/conda-vs-pip/
https://pythonspeed.com/articles/conda-vs-pip/
Python⇒Speed
Pip vs Conda: an in-depth comparison of Python’s two packaging systems
Python has two packaging systems, pip and Conda. Learn the differences between them so you can pick the right one for you.
More Uses for functools.partial() in Django
https://adamj.eu/tech/2021/10/12/three-more-uses-for-functools-partial-in-django/
https://adamj.eu/tech/2021/10/12/three-more-uses-for-functools-partial-in-django/
adamj.eu
Three more uses for functools.partial() in Django - Adam Johnson
I remain convinced that Python’s functools.partial() is underappreciated. Following my previous post, here are three more ways to use partial() with Django.
kubernetes-client: Official Python Client Library for Kubernetes
https://github.com/kubernetes-client/python
https://github.com/kubernetes-client/python
GitHub
GitHub - kubernetes-client/python: Official Python client library for kubernetes
Official Python client library for kubernetes. Contribute to kubernetes-client/python development by creating an account on GitHub.
classyconf: Declarative and Extensible Library for Configuration & Code Separation
https://github.com/hernantz/classyconf
https://github.com/hernantz/classyconf
GitHub
GitHub - hernantz/classyconf: Declarative and extensible library for configuration & code separation
Declarative and extensible library for configuration & code separation - GitHub - hernantz/classyconf: Declarative and extensible library for configuration & code separation