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SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open source software for mathematics, science, and engineering.

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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.

  • Updated Mar 20, 2024
  • Python

Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数据科学,Flask,爬虫开发教程。

  • Updated May 1, 2023
  • Jupyter Notebook
NumKong

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

  • Updated Mar 28, 2026
  • C

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

  • Updated Mar 22, 2026
  • Python
dsp-theory

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

  • Updated Feb 9, 2026
  • Jupyter Notebook

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

  • Updated Sep 18, 2022
  • Jupyter Notebook