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Python for Scientists
Published 10 months, 1 week ago
Description
This compilation of excerpts provides an introduction to Python for scientists, focusing on practical applications in numerical methods and data handling. It covers fundamental Python concepts like data types, control flow, functions, and classes, contrasting them with more performant NumPy arrays for numerical operations. The text explores libraries like SciPy for scientific calculations including integration, optimization, interpolation, linear algebra, and statistics, and Pandas for efficient data manipulation and analysis. Finally, it touches upon performance optimization, parallelization, and essential software development tools like version control and creating custom Python modules.
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Python-Scientists-John-M-Stewart/dp/1009014803?&linkCode=ll1&tag=cvthunderx-20&linkId=bf3b32f892911277db84a70fe42ab42d&language=en_US&ref_=as_li_ss_tl