Published on: 2024-11-04 00:08:32
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The Complete Data Structures and Algorithms Course in Python is a comprehensive training course on data structure and algorithm writing with the powerful Python programming language, published by Udemy Academy. The contents and topics raised in this training course will prepare you to participate in interviews and job tests of different companies and can create many job opportunities for you. More than 100 frequent questions will be discussed during this training course and your chances of passing will increase to a great extent. These questions have been repeated many times in recruitment tests of big companies like Apple, Amazon and Microsoft and have a very high success rate. Python is a high-level and multipurpose programming language that is used in various fields and technologies of artificial intelligence and machine learning.
After completing this training course, you will be familiar with different types of algorithms and algorithm writing techniques such as greedy algorithm, binary and binary search, sorting, data filtering, dynamic and dynamic programming, etc. Each of the data structures has unique advantages and disadvantages that you will get to know during the process of this course, and in this regard, you will be able to choose the best data type based on the prerequisites of the project.
Publisher: Udemy
Instructors: Elshad Karimov
Language: English
Level: Introductory to Advanced
Number of Lessons: 549
Duration: 46 hours and 34 minutes
Basic Python Programming skills
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 1080p
Changes:
Version 2023/6 compared to 2022/7 has increased the number of 152 lessons and the duration of 6 hours and 53 minutes.
Version 2024/1 compared to 2023/6 has increased the number of 14 lessons and the duration of 1 hours and 5 minutes. Also, the Quality of the course has increased from 720p to 1080p.
The version of 2024/10 compared to 2024/1 has increased the number of 14 lessons and the duration of 22 minutes.
6.57 GB
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