Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Python Data Science Handbook: full text in Jupyter Notebooks

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.

TuShare is a utility for crawling historical data of China stocks

Statistical data visualization using matplotlib

Open Machine Learning Course

Parallel computing with task scheduling

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

Create HTML profiling reports from pandas DataFrame objects

Modin: Speed up your Pandas workflows by changing a single line of code

Practice your pandas skills!

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

cuDF - GPU DataFrame Library

🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow

A python wrapper for Alpha Vantage API for financial data.

《利用Python进行数据分析·第2版》

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Missing data visualization module for Python.

High-performance runtime for data analytics applications

🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si

Yahoo! Finance market data downloader (+faster Pandas Datareader)

A Python module for creating Excel XLSX files.

Koalas: pandas API on Apache Spark

High performance datastore for time series and tick data

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Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.

N-D labeled arrays and datasets in Python

Python Cheat Sheet NumPy, Matplotlib

Extract data from a wide range of Internet sources into a pandas DataFrame.

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.