January 2023
Intermediate to advanced
472 pages
17h 59m
English
Content preview from Python Tools for ScientistsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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PART IVTHE ESSENTIAL LIBRARIES
Of all the Python libraries that are important to science, NumPy, Matplotlib, and pandas are arguably the most essential. These three libraries form a triptych, with each panel built on the one before. Together, they serve as an immense canvas for most scientific and data analysis work in Python.
What makes these libraries essential? For one thing, they’re mature, reliable, and used across many disciplines. As established libraries, they come with enormous support networks consisting of online forums, tutorials, and example use cases as well as many excellent print and ebooks dedicated to each. Further, they form the basis for other important libraries. Some knowledge of NumPy, Matplotlib, and pandas is needed to ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.