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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 than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Python Data Science Handbook: full text in Jupyter Notebooks

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

12 Weeks, 24 Lessons, AI for All!

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

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.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

matplotlib: plotting with Python

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

? A ranked list of awesome machine learning Python libraries. Updated weekly.