Python 3: Project based Python, Algorithms, Data Structures

MP4 | Video: AVC 1920×1080 30fps | Audio: AAC 48KHz 2ch | Duration: 10hrs
Genre: eLearning | Language: English | Size: 3.9 GB

This course is one of the most comprehensive and beginner-friendly courses on learning to code with Python-one of the top programming languages in the World-and using it to build algorithms and data structures with projects from scratch.

Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects Key Features

Learn to code with Python while building projects and implementing algorithms and data structures

Understand the fundamentals of programming languages

What You Will Learn

Learn Python 3 from scratch, in-depth

Understand the fundamentals of programming languages

Learn to visualize algorithms, data structures, program executions, and information flows

Learn to use Python to build projects


We will walk you step-by-step through the fascinating world of Python programming using visualizations of programs as they execute, algorithms as they run, and data structures as they are constructed. Nothing is left to the imagination; you’ll see it all and then build it all.

Since it caters to a broad spectrum of students, the course is split into two parts: part 1 focusing on the Python programming language and part 2 focusing on Algorithms, data structures, performance analysis, and larger-scale projects.

Part 1: Python and programming fundamentals

Text – Strings

Numbers – ints and floats

Execution flow control – branching with if/elif/else

Compound data types – lists, dictionaries, tuples, and sets

Iterables and iteration with generators, for and while loops, and more!

Functions, execution context and frames, and building custom functions

List comprehension

Lambda expressions

Generators and creating your own generators with yield

Objects and building classes, methods, and special methods

Reading from and writing to files using context managers

Visualization with each topic and more!

Part 2: Algorithms, Data Structures, and Performance Analysis

Sorting algorithms (basic) – bubble sort, selection sort, and insertion sort

Sorting algorithms (advanced) – merge sort and quick sort

Big O notation, complexity analysis, divide and conquer, and math visualizations

Recursion in-depth with examples

Searching algorithms – bisection search and hashing

Data structures with linked lists, stacks, queues, trees, and binary search trees

Operations with data structures – insert, search, update, and delete

Multiple projects with increasing levels of complexity to tie concepts together

Visualizations of all algorithms, data structure, operations, and more!

All the codes and supporting files for this course are available at –


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