by Open Weaver kits ✔ Updated: May 13, 2022
Python is a general-purpose programming language that can be used on any modern computer operating system. It has a comprehensive, flexible ecosystem of tools, libraries and community resources. Python has become a vital tool for analytics and data science and it has a huge ecosystem of tools that can be used for all kinds of data mining, analysis, visualization, machine learning. In the age of Big Data, analyzing and visualizing data has become a very common task, which has promoted the development of various tools. Python libraries are a set of functions and methods that allow to carry out numerous actions without writing the code. A few of the most popular Python Analytics open source libraries for developers are: dash - Analytical Web Apps; dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that softwa; shynet - detailed web analytics that works without cookies.
Python 18029 Version:2.7.1
Python 18029 Version:2.7.1 License: Permissive (MIT)
Python 6444 Version:1.3.2
Python 6444 Version:1.3.2 License: Permissive (Apache-2.0)
Python 3433 Version:0.21.0
Python 3433 Version:0.21.0 License: Permissive (Apache-2.0)
Python 2125 Version:v0.12.0
Python 2125 Version:v0.12.0 License: Permissive (Apache-2.0)
Python 2032 Version:v1.27.0
Python 2032 Version:v1.27.0 License: Strong Copyleft (AGPL-3.0)
Python 1086 Version:3.1.0
Python 1086 Version:3.1.0 License: Permissive (MIT)
Python 358 Version:v22.02.1
Python 358 Version:v22.02.1 License: Permissive (Apache-2.0)
Python 201 Version:Current
Python 201 Version:Current License: Others (Non-SPDX)
Python 181 Version:Current
Python 181 Version:Current License: Strong Copyleft (GPL-3.0)
Python 170 Version:Current
Python 170 Version:Current License: Permissive (MIT)
Python 110 Version:Current
Python 110 Version:Current License: Others (Non-SPDX)
Python 101 Version:Current
Python 101 Version:Current License: Permissive (BSD-3-Clause)
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