January 2023
Intermediate to advanced
472 pages
17h 59m
English
Content preview from Python Tools for Scientists
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15THE SCIENTIFIC LIBRARIES
In this chapter, we’ll look at high-level summaries of the core Python libraries for mathematics, data analysis, machine learning, deep learning, computer vision, language processing, web scraping, and parallel processing (Table 15-1). We’ll also look at some guidelines for choosing among competing products. In subsequent chapters, we’ll dive deeper into the functionality of several of these libraries and then apply them in real-world applications.
Table 15-1 organizes these libraries into subcategories, lists their websites, and provides a brief description of each. As these are popular and, in many cases, mature libraries, ...
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