April 2020
Intermediate to advanced
216 pages
5h 19m
English

The ability to analyze real-world data is one of the most sought-after skills in the 21st century. With the help of powerful hardware capabilities, algorithms, and ubiquitous sensing, data scientists create meaning from massive-scale raw data of weather statistics, financial transactions, customer behavior, and so much else. The largest companies in the world today—Google, Facebook, Apple, and Amazon—are essentially huge data-processing entities, with data at the heart of their business models.
This chapter equips you with the skills to process and analyze numerical data by using Python’s library for numerical calculations, NumPy ...