Ranked by Attention Score: stars gained over the last 7 complete days
38 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
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
10 Weeks, 20 Lessons, Data Science for All!
Download market data from Yahoo! Finance's API
Python Data Science Handbook: full text in Jupyter Notebooks
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Practice your pandas skills!
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Performance analysis of predictive (alpha) stock factors
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
A terminal spreadsheet multitool for discovering and arranging data
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
A light-weight, flexible, and expressive statistical data testing library
:zap: A Fast, Extensible Progress Bar for Python and CLI
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
the portable Python dataframe library
TuShare is a utility for crawling historical data of China stocks
Statistical data visualization in Python
cuDF - GPU DataFrame Library
Parallel computing with task scheduling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Open Machine Learning Course
A Python module for creating Excel XLSX files.
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!
N-D labeled arrays and datasets 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
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Python tools for geographic data
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Instant Kubernetes-Native Application Observability
Automatically visualize your pandas dataframe via a single print! 📊 💡
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Python DataFrames as Interactive DataTables
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.