Tutorial material on the scientific Python ecosystem

Other

scipy-lecture-notes

BSD 3-Clause "New" or "Revised" License

scipy

Vector Similarity Functions 3x-200x Faster than SciPy and NumPy — for Python, JavaScript, Rust, and C 11, supporting f64, f32, f16, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

Apache License 2.0

SimSIMD

MIT License

cupy

The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction  

windml

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.

data-science-ipython-notebooks

Sequential model-based optimization with a  `scipy.optimize` interface

scikit-optimize

scientific-python-lectures

scikit-video

Crab is a ﬂexible, fast recommender engine for Python that integrates classic information ﬁltering recommendation algorithms in the world of scientiﬁc Python packages (numpy, scipy, matplotlib).

crab

A fast MDCT implementation using SciPy and FFTs