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
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Python Data Science Handbook: full text in Jupyter Notebooks
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
10 Weeks, 20 Lessons, Data Science for All!
:zap: A Fast, Extensible Progress Bar for Python and CLI
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.
Download market data from Yahoo! Finance's API
TuShare is a utility for crawling historical data of China stocks
Statistical data visualization in Python
Parallel computing with task scheduling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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
Open Machine Learning Course
Modin: Scale your Pandas workflows by changing a single line of code
cuDF - GPU DataFrame Library
A terminal spreadsheet multitool for discovering and arranging data
the portable Python dataframe library
Automatically visualize your pandas dataframe via a single print! 📊 💡
Python tools for geographic data
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Performance analysis of predictive (alpha) stock factors
N-D labeled arrays and datasets in Python
Missing data visualization module for 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).