Python Data Structures A to Z (Udemy.com)

Learn the essentials of data structures in Python.

( 73 Reviews )

Created by: Joe James

Produced in 2019

What you will learn

An in-depth look at native Python data structures: Strings, Lists, Tuples, Sets and Dictionaries
Introduction to Queues, Stacks, Heaps, Linked Lists, Binary Search Trees and Graphs, including concepts of how they work, pros and cons, and how to Implement and use them in Python.

Quality Score

Content Quality

Video Quality

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Course Pace

Course Depth & Coverage

Overall Score : 86 / 100

Course Description

This course combines conceptual lectures to explain how a data structure works, and code lectures that walk through how to implement a data structure in Python code. All the code lectures are based on Python 3 code in a Jupyter notebook. All the code and presentations are available for download on Github.
Data structures covered in this course include native Python data structures String, List, Tuple, Set, and Dictionary, as well as Stacks, Queues, Heaps, Linked Lists, Binary Search Trees, and Graphs. 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.

Time: 2h

Instructor Details

Joe James

4.3 Rating
73 Reviews

Joe James has lived in Silicon Valley for 30 years. He has helped grow several startups in executive sales and marketing roles, and has worked as a senior software engineer in industry leaders Samsung, Epson and Cisco. Joe founded a growing computer science tutorial YouTube channel in 2014, and holds both an MBA and an MSin Computer Science.

Reviews

4.3

73 total reviews

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By Aashish on 11/14/2020

amazing content

By Francesco Campanini on 10/1/2020

Most of the videos so far are just about the instructor reading some code. The instructor mention some links but they are not shared in any resources. The example are not real life example so it is difficult to understand when certain data structure should be used.

By Sindhura Sriram on 9/26/2020