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
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.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Parallel computing with task scheduling
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
An open access book on scientific visualization using python and matplotlib
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Open Machine Learning Course
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Fast data visualization and GUI tools for scientific / engineering applications
N-D labeled arrays and datasets in Python
C++ implementation of the Python Numpy library
A python module for scientific analysis of 3D data based on VTK and Numpy
Fast NumPy array functions written in C
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Read and write Neuroglancer datasets programmatically.