Data Structures and Algorithms: In-Depth using Python

Data Structures and Algorithms: In-Depth using Python

Description

Data Structures and Algorithms: In-Depth using Python is the name of a training course on using data structures in Python. This course will help you to have a better basic understanding of data structure and how to apply algorithms in high-level languages. This course consists of lectures on the topic of data structure and algorithms, which covers the theory of computer science and the application of data structure in Python language. Also, this course helps learners who want to participate in the interview of large companies that the result get better

What you will learn in this course:

  • Learning data structure, absolute data types and their use in Python
  • Using search algorithms in Python
  • Using Stacks, Queues, Linked List, Binary Trees, Heaps and Graphs in Python
  • Applying binary tree intersection techniques in Python
  • Graph traversal techniques that include Depth-First Search and Breadth-First Search in Python.
  • Application of classification algorithms in Python
  • Provide analysis skills and efficient use of search and classification algorithms in real applications

Data Structures and Algorithms: In-Depth using Python course specifications:

Publisher: Udemy
Instructors: Syed Mohiuddin
English language
Training level: introductory to advanced
Number of courses: 260
Duration: 34 hours and 38 minutes

Course headings

Course prerequisites:

Prior knowledge of programming any high level language

Basic knowledge of Python Programming

Pictures

Data Structures and Algorithms: In-Depth using Python

Sample video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 1080p

Changes:

Version 2022/10 has decreased by 1 minute compared to 2020/9.

download link

Download part 1 – 2 GB

Download part 2 – 2 GB

Download part 3 – 2 GB

Download part 4 – 1.43 GB

File(s) password: www.downloadly.ir

Size

7.43 GB

4.2/5 – (4068 points)

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