The chapters focuses on real-world examples of Python for data analysis, including standard, ordinary expressions for searching and parsing, automating missions on your computer, retrieving data across the network, deleting web pages for data, exploiting web services, parsing XML and JSON data, and creating and using databases using Structured Query Language. The fundamental objective of all of these changes is a swing from Computer Science to Information Analysis which focuses on topics in tier 1 technology which can be beneficial even if one prefers not to turn out to be a professional programmer.
