A project template and directory structure for Python data science projects.
Python Tutorial | Learn Python Programming Language - GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
Investing in the Python ecosystem
Vercel welcomes the Gel Data team and deepens support for the Python ecosystem through PSF sponsorships, community funding, and improved Python developer tools.
marimo | a next-generation Python notebook
Explore data and build apps seamlessly with marimo, a next-generation Python notebook.
Scrappy – Make little apps for you and your friends | Hacker News
Decker[2] (which is also open-source) has answers to several of the things outlined on Scrappy’s roadmap, including facilities for representing and manipulating tabular data with its query language and grid widgets and the ability for users to abstract collections of parts into reusable "Contraptions".
Project Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
What Is DSPy? How It Works, Use Cases, and Resources
DSPy is an open-source Python framework that allows developers to build language model applications using modular and declarative programming instead of relying on one-off prompting techniques.
Welcome
I also work extensively with Project Jupyter, particularly the Binder Project and Jupyter Book.
Snakemake
With Snakemake, data analysis workflows are defined via an easy to read, adaptable, yet powerful specification language on top of Python. Steps are defined by "rules", which denote how to generate a set of output files from a set of input files (e.g. using a shell command). Wildcards (in curly braces) provide generalization. Dependencies between rules are determined automatically.
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Matter CLI - Matter Documentation
Terminal client for your Matter reading library — CLI mode for scripting and an interactive TUI for browsing.
JupyterLite — JupyterLite 0.7.4 documentation
JupyterLite is a JupyterLab distribution that runs entirely in the browser built from the ground-up using JupyterLab components and extensions.
We have a new project! Didactic is a typed data library for python built on top of panproto. It provides class-based authoring like pydantic. But under the hood each Model is a panproto Theory, which gives you access to panproto's migration and codegen capabilities. Docs at panproto.dev/didactic/.
GitHub - panproto/didactic: A typed data library for Python on top of panproto.
github.com