An in-depth look at native Python data structures: Strings, Lists, Tuples, Sets and Dictionaries . Data structures covered in this course include String, List, Tuple, Set, and Dictionary, as well as Stacks, Queues, Heaps, Linked Lists, Binary Search Trees and Graphs . This course combines conceptual lectures to explain how a data structure works, and code lectures that walk through how to implement it in Python code . All the code lectures are based on Python 3 code in a Jupyter notebook . All of the code and presentations are available for download on Github. API quota exceeded. You can make 500 requests per day.
Who this course is for:
Beginner or intermediate Python programmers who want to gain a solid understanding of data structures.
Anyone who already knows another programming language and wants to learn general data structures used in programming, while learning Python.
This course will prepare students for an algorithms course.