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Python mathematical functions, scientific computing, data mining, data analysis library.



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NumPy - Official website - Source code - Document - Download address - Score()

NumPy (Numerical Python) is an extension library of Python language, which supports a large number of dimensional array and matrix operations, and also provides a large number of mathematical function libraries for array operations. It is usually used with Scipy (Scientific Python) and Matplotlib (drawing library), and is widely used to replace MatLab for scientific calculation.

SciPy - Official website - Source code - Document - Download address - Score()

Scipy is an open source Python algorithm library and math toolkit. Scipy includes modules such as optimization, linear algebra, integration, interpolation, special functions, fast Fourier transform, signal processing and image processing, ordinary differential equation solving and other commonly used calculations in science and engineering.

Pandas - Official website - Source code - Document - Download address - Score()

Pandas is an extension library of Python language for Data analysis. Pandas is an open source, BSD-licensed library that provides high-performance and easy-to-use Data structures and Data analysis tools based on Numpy (providing high-performance matrix operations). It can import Data from various file formats, such as CSV, JSON, SQL, and Excel. Pandas can perform operations on various data, such as merging, reshaping, selection, Data cleaning and Data processing features. Pandas is widely used in academic, financial, statistical and other Data analysis fields.

Statsmodels - Official website - Source code - Document - Download address - Score()

Statsmodels is a Python library for fitting various statistical models, performing statistical tests, and Data exploration and visualization. Statsmodels contains more classical frequency school statistical methods. Some models included in statsmodels include: linear model, generalized linear model and robust linear model, linear mixed effect model, analysis of variance (ANOVA) method, time series process and state space model, and generalized moment method.


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