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Python Tools for Scientists : : an Introduction to Using Anaconda, Jupyterlab, and Python's Scientific Libraries

Vaughan, Lee. Book - 2023 005.133 Py, Adult Book / Nonfiction / Computers / Programming / Python None on shelf 1 request on 2 copies Community Rating: 5 out of 5

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Downtown 2nd Floor
4-week checkout
005.133 Py 4-week checkout Due 05-08-2024
Traverwood Adult Books
4-week checkout
Adult Book / Nonfiction / Computers / Programming / Python 4-week checkout Due 04-27-2024

Includes index.
Python Tools for Scientists introduces you to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required. You'll set up a professional programming environment, receive a crash course on programming with Python, and tour the many tools and libraries available for working with data, creating visualizations, simulating natural events, and more. In the book's applied projects, you'll use these tools to write programs that perform tasks like simulating globular star clusters, building ships for a wargame simulator, creating an interactive science slideshow, and classifying animal species. Even established scientists sometimes struggle to implement Python at work, partly because so many choices are available. This book guides you through the ecosystem of Python's libraries and tools, so you can find the ones best suited to your needs. Regardless of your field of study, Python Tools for Scientists is an indispensable owner's manual for setting up and using your computer for science.

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Cover image for Python tools for scientists : : an introduction to using Anaconda, Jupyterlab, and Python's scientific libraries


PUBLISHED
San Francisco : No Starch Press, 2023.
Year Published: 2023
Description: xxxi, 709 pages ; 24 cm
Language: English
Format: Book

ISBN/STANDARD NUMBER
9781718502666
1718502664

SUBJECTS
Python (Computer program language)
Science -- Data processing.
Research -- Data processing.