A software for descriptive statistics in Python, to analyze and visualize data using various statistical measures, including mean, median, mode, standard deviation, and more.
Python-statlib is a fantastic addition to the Python library that combines several Python statistics modules into a unified package. This open source and free software is designed to make statistical analysis simple and straightforward. It provides a range of features and tools that help users perform basic statistical analysis.
One of the most notable modules in Python-statlib is the stats module, which is packed with a wide variety of essential statistical functions. The package also includes the pstat module that offers useful list and array manipulation routines, and the matfunc module for vector, matrix, and table math operations.
Python-statlib provides an all-in-one solution for statistical computations and analysis, making it a reliable choice for professionals in the field. Additionally, the software is licensed and distributed under the MIT License, giving users the freedom to modify and distribute the source code.
Overall, Python-statlib is an excellent software package that offers a broad range of statistical functions and modules. Its open-source nature makes it highly accessible to developers and analysts looking to improve their analysis and modeling processes.
One of the most notable modules in Python-statlib is the stats module, which is packed with a wide variety of essential statistical functions. The package also includes the pstat module that offers useful list and array manipulation routines, and the matfunc module for vector, matrix, and table math operations.
Python-statlib provides an all-in-one solution for statistical computations and analysis, making it a reliable choice for professionals in the field. Additionally, the software is licensed and distributed under the MIT License, giving users the freedom to modify and distribute the source code.
Overall, Python-statlib is an excellent software package that offers a broad range of statistical functions and modules. Its open-source nature makes it highly accessible to developers and analysts looking to improve their analysis and modeling processes.
What's New
Version 1.1: N/A