Explanation
Data Structures & Algorithms in Python – Self Paced is a comprehensive course to teach various data structures and algorithms in the Python programming language. Data structures and algorithms are the building blocks of programming. Data structures enable us to organize and store data, while algorithms enable us to process data in a meaningful way. So choose the best DSA Python course to build and strengthen your data structure and algorithm skills in Python from basics to advanced.
What you will learn in this course:
- You will learn the basics of algorithms, asymptotic symbols, time and space complexity analysis, and more.
- You will learn basic concepts including math, bit magic, lists, recursive functions, and other algorithms while doing various exercises.
- Learning and implementing search and classification algorithms from basic to advanced
- Basic concepts of string, linked list, stack, queue and related data structures
- Become an expert in advanced concepts of Hashing, Graph, Tree, BST, Heap, Backtracking, DP and…
- Learn Testing, Component Tree and Cross-Sectional Setup from basics to advanced
- Practice algorithms like Kruskals, Tarjans, Kosarajus, Prims, Rabin Karp, KMP and many others.
- How to become a strong and efficient developer and Python programmer?
Course specifications:
- Publisher: GeeksforGeeks
- Teachers: Sandeep Jain
- Language : English
- Level : Beginner to Advanced
- Duration: more than 24h
- number of lessons: 176
- Format: mp4
course content
Requirements:
- The course requires no prior knowledge of Data Structures and Algorithms and covers all Python topics.
Diagrams of Data Structures & Algorithms in Python – Self Paced
Example clip:
Installation guide:
After the production, you can watch the course in your favorite video.
subtitle: None
Quality: 1080p
Download links:
Password: free download software
File size:
14.7GB