pandas

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.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Learn Python for the next 30 (or so) Days.

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

AI code-writing assistant that understands data content

Jupyter notebook and datasets from the pandas video series

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Statistical package in Python based on Pandas

适合初级到中级晋升者，有了体系之后就看熟练度了。

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

Python AutoML for Trading Systems and Sports Betting

Lightweight and extensible compatibility layer between dataframe libraries!

Optimized Agentic and LLM Bulk Processing Over Your Data

Finviz analysis python library.

General Assembly's 2015 Data Science course in Washington, DC

What's in your data? Extract schema, statistics and entities from datasets

Clean APIs for data cleaning. Python implementation of R package Janitor

:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

简单易用的量化金融数据包(easy utility for getting financial market data of China)

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Scalable Python DS & ML, in an API compatible & lightning fast way.

Python library for using dplyr like syntax with pandas and SQL

Compilation of R and Python programming codes on the Data Professor YouTube channel.

I am sharing my Journey of 66DaysofData into Data Analytics by participating in Ken Jee's #66daysofdata challenge