The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Offline evidence-policy checker for PandaSI.
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Download market data from Yahoo! Finance's API
A terminal spreadsheet multitool for discovering and arranging data
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
10 Weeks, 20 Lessons, Data Science for All!
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Practice your pandas skills!
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
AI data analyst for transparent, reproducible analysis. Works step by step in Python, verifies the evidence behind its reports, and supports a wide selection of models, including local open-weight models.
π€ The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
A light-weight, flexible, and expressive statistical data testing library
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Statistical data visualization in Python
Notebooks for the third edition of Think Stats
An introduction to data science in Python, for people with no programming experience.
A Python/Pandas ETL pipeline that turns a deliberately messy automotive dataset into production-ready data, with 15 pytest tests and GitHub Actions CI.
:zap: A Fast, Extensible Progress Bar for Python and CLI
Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Lightweight and extensible compatibility layer between dataframe libraries!
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Instant Kubernetes-Native Application Observability
π :bar_chart: :bulb: Orange: Interactive data analysis
Python tools for geographic data
Open-source Python challenge courses β your AI coding agent teaches, verify.py decides when you're done.
Make awesome display tables using Python
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Statistical package in Python based on Pandas
Python AutoML for Trading Systems and Sports Betting
Python binding for Rust's library for reading excel and odf file - calamine.
Parallel computing with task scheduling
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
This repository helps you learn Python and Machine Learning from scratch.
Time series forecasting with PyTorch
N-D labeled arrays and datasets in Python
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
MovingPandas - a Python library for movement data exploration and analysis
Python DataFrames as Interactive DataTables
Time series easier, faster, more fun. Pytimetk.
Working with molecular structures in pandas DataFrames
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Pipeline de dados que liga endereΓ§o a local de votaΓ§Γ£o e mostra como a vizinhanΓ§a votou para Presidente e Deputado Federal em 2018 e 2022. Brasil inteiro, a partir de dados pΓΊblicos do TSE e do IBGE.
cuDF - GPU DataFrame Library
the portable Python dataframe library
A Python module for creating Excel XLSX files.
Optimized Agentic and LLM Bulk Processing Over Your Data
Clean APIs for data cleaning. Python implementation of R package Janitor
:crown: Multivariate exploratory data analysis in Python β PCA, CA, MCA, MFA, FAMD, GPA
High Performance Computation for N-D Tensors in .NET, identical API to NumPy.
A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
Exchange calendars to use with pandas for trading applications
Manipulate JSON-like data with NumPy-like idioms.
Fast, interactive geospatial data visualization in Jupyter.