Lucas Shen Y. S. LSYS
πΎ
Applied econ | Data science | Quantitative social science | Senior data janitor
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π Freely available programming books
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Streamlit β A faster way to build and share data apps.
π¨ Diagram as Code for prototyping cloud system architectures
π₯§ HTTPie CLI β modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
A community-maintained Python framework for creating mathematical animations.
β‘ A Fast, Extensible Progress Bar for Python and CLI
We have made you a wrapper you can't refuse
Data validation using Python type hints
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Typer, build great CLIs. Easy to code. Based on Python type hints.
State-of-the-Art Text Embeddings
Python composable command line interface toolkit
Universal Command Line Interface for Amazon Web Services
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
match command-line arguments to their help text
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Install and Run Python Applications in Isolated Environments
Statsmodels: statistical modeling and econometrics in Python
An open access book on scientific visualization using python and matplotlib