Udemy - Mastering critical SKILLS in Data Structures using Python Free Download

Udemy – Mastering critical SKILLS in Data Structures using Python
English | Tutorial | Size: 6.93 GB

Understand DS inner details & design decisions effects + Solve 123 problems to enhance your problem-solving skills

Almost all other courses focus on knowledge. In this course, we focus on gaining real skills.

Overall:

The course covers basic to advanced data structures

Learn the inner details of the data structures and their time & memory complexity analysis

Learn how to code line-by-line

Source code and Slides and provided for all content

An extensive amount of practice to master the taught data structures (where most other content fails!)

Content:

Asymptotic Complexity

Arrays

Singly Linked List

Doubly Linked List

Project: Sparse Array and Matrix

Stack

Queue

Binary Tree

Binary Search Tree

Binary Heap

AVL Tree

Letter Tree (Trie)

Hash Table

Extensive Homework sets with video solutions

Teaching Style:

Instead of long theory then coding style, we follow a unique style

I parallelize the concepts with the codes as much as possible

Go Concrete as possible

Use Clear Visualization

By the end of the journey

Solid understanding of Data Structures topics in Python

Mastering different skills

Analytical and Problem-Solving skills

Clean coding for data structures

Black-box applying on DS

With the administered problem-solving skills

You can start competitive programming smoothly [DS type]

Smooth start in Algorithms course

One more step toward interviews preparation

Prerequisites

Strong Programming Skills:

Built-in Data Structures: list, tuple, set, dictionary

Comfortable with recursive functions

Basic Programming Problem-Solving Skills

That is; solved a lot on the basic topics

Use IDE Debugger

Preferred:

Project Building Skills

Don’t miss such a unique learning experience!

Acknowledgement: “I’d like to extend my gratitude towards Robert Bogan for his help with proofreading the slides for this course”

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