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Line 36: In education and data science, Matplotlib is frequently used to teach programming and data visualization. It integrates with [[Jupyter Notebook]], allowing students and instructors to generate inline plots and interactively explore data within a notebook environment.<ref name="JupyterNature">{{cite news \|title=Interactive notebooks: Sharing the code \|url=https://www.nature.com/articles/d41586-018-07196-1 \|work=Nature \|date=18 September 2018 \|access-date=22 April 2025}}</ref> Many educational institutions incorporate Matplotlib into their curricula for teaching STEM concepts,<ref name="MatplotlibTutorial">{{cite web \|title=Pyplot tutorial \|url=https://matplotlib.org/stable/tutorials/introductory/pyplot.html \|website=Matplotlib \|access-date=22 April 2025}}</ref> and it is widely featured in tutorials, workshops, and open online courses as a primary plotting library. This broad adoption across both academia and industry has helped establish Matplotlib as a standard component of scientific and educational visualization workflows. ~~==Comparison with MATLAB==~~ Pyplot is a Matplotlib module that provides a MATLAB-like interface.<ref>{{Cite web\|url=https://matplotlib.org/index.html\|title=Matplotlib: Python plotting — Matplotlib 3.2.0 documentation\|website=matplotlib.org\|access-date=2020-03-14}}</ref> Matplotlib is designed to be as usable as MATLAB, with the ability to use Python, and the advantage of being free and [[Open source\|open-source]]. ==Related projects==

Matplotlib: Difference between revisions