Python Tools for Scientists

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, ...