Overview
This website is associated with the textbook, Introduction to Data Systems: Building from Python, published by Springer-Nature, and derives from a computer science course in Data Systems developed at Denison University. The textbook and course take the perspective that introductory data systems need only rely on a Python foundation as taught in introductory computer science courses or in short courses on the Python language. With that foundation, the textbook builds data-aptitude through an exploration of the forms of data and of their sources.
Data Forms
| Form |
Coverage |
| Tabular |
Tidy data, Delimtted CSV files, pandas |
| Relational |
SQL, sqlalchemy, MySQL, SQLite |
| Hierarchical |
XML, lxml, XPath, JSON |
Data Sources
| Source |
Coverage |
| Database Servers |
MySQL |
| Web Servers |
HTTP, requests, curl, Web Scraping |
| API Servers |
REST, requests, OAuth2 |
See the textbook preface for more information on the philosophy of the book and options for courses that incorporate the textbook.
