Python Data Structures

This course introduces the core data structures of the Python programming language. You will learn to explain the principles of data structures and how they are used. The syllabus moves through strings, files, lists, dictionaries and tuples, each chapter building a practical skill. You will create programs that read and write data from files, store data as key/value pairs using Python dictionaries, and accomplish multi-step tasks like sorting or looping using tuples.

What this particular course does with that subject is grounded in the University of Michigan approach. The modules are named and sequenced: Installing and Using Python, Chapter Six: Strings, Chapter Seven: Files, Chapter Eight: Lists, Chapter Nine: Dictionaries, Chapter Ten: Tuples and Graduation. Each chapter pairs a data structure with a concrete task — strings for text processing, files for persistence, lists for ordered collections, dictionaries for lookups and tuples for grouping values. The stated outcomes ask you to create programs that read and write data, store data as key/value pairs and accomplish multi-step tasks using the structures covered.

At the end you will be able to read and write data from files, store data as key/value pairs using dictionaries, and accomplish multi-step tasks like sorting or looping using tuples. These are skills you can apply immediately in scripting, data analysis or automation work.

Honest limits: the course stays at beginner level. It does not cover advanced data structures such as graphs, heaps or trees, nor does it go into algorithmic complexity analysis. Learners who already know Python basics or who need those deeper structures may find the scope too narrow. In the supplied data, the alternatives Python for Everybody Specialization and The Complete Python Bootcamp From Zero to Hero cover broader Python topics at similar beginner levels, and the free Introduction To Python Programming on Udemy offers a no-cost entry point if you want to explore before committing.