Recommended and mentioned products
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NumPy is the fundamental package for scientific computing with Python
Created by John Hunter, Matplotlib is a cross-platform, graphical visualization plotting library for Python built on a NumPy array. In the words of its creators, Matplotlib is a “comprehensive library for creating static, animated, and interactive visualizations in Python.” Thus, Matplotlib provides ways for developers to represent their data using bar charts, pie charts, line charts, and a number of other charts.
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Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
It can be used for several user interfaces such as IPython, Python shells, Jupyter Notebook, and more.
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iPython provides a rich toolkit to help you make the most out of using Python interactively.
It can be used for several user interfaces such as IPython, Python shells, Jupyter Notebook, and more.