Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Python is often compared to Tcl, Perl, Ruby, Scheme or Java. Some of its key distinguishing features include: very clear, readable syntax strong introspection capabilities intuitive object orientation natural expression of procedural code full modularity, supporting hierarchical packages exception-based error handling very high level dynamic data types extensive standard libraries and third party modules for virtually every task extensions and modules easily written in C, C++ (or Java for Jython, or .NET languages for IronPython) embeddable within applications as a scripting interface.
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
Dask natively scales Python
Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
The Jupyter is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Mathematica is a computational software program used in many scientific, engineering, mathematical and computing fields, based on symbolic mathematics.