Description
Python Data Structures and Algorithms: Complete Guide is a course on mastering data structures and algorithms using Python from the ground up, published by Udemy Online Academy. This is a comprehensive course designed to help individuals master data structures and algorithms using Python from the ground up. The course covers fundamental concepts such as arrays, linked lists, stacks, queues, trees, graphs, sorting, and search algorithms, while focusing on real-world implementation and performance optimization. The course combines theory with coding practice, helping individuals build a strong foundation for technical interviews, competitive programming, and software development efficiency.
This course covers basic data structures and algorithms in Python, including lists, stacks, queues, trees, heaps, hash tables, and graphs, along with various sorting and searching techniques. The course emphasizes the time and space complexity of algorithms and helps learners analyze and optimize the performance of code. Through hands-on projects and coding challenges, students gain hands-on experience applying these concepts to solve real-world problems. The course also prepares students for coding interviews by focusing on algorithmic thinking, problem-solving patterns, and efficient Python implementations used in professional software engineering.
What you will learn in Python Data Structures and Algorithms: Complete Guide:
- Develop the problem-solving and debugging skills essential for coding interviews.
- Apply algorithmic thinking to real-world tasks and write efficient and readable Python code.
- Build confidence in data-driven programming and prepare for technical interviews.
- Implement basic data structures such as arrays, stacks, queues, and linked lists in Python from scratch.
- Understand algorithm efficiency and analyze code performance using Big-O notation.
- Build and compare sorting and searching algorithms including merge, quick search, and binary search.
- Design and implement trees, heaps, hash tables, and other advanced data structures.
- Effectively use Python’s built-in tools such as heapq, deque, and sorted().
- And…
Course specifications
Publisher: Udemy
Instructors: Tim Buchalka, Jean-Paul Roberts and Tim Buchalka’s Learn Programming Academy
Language: English
Level: Intermediate
Number of Lessons: 193
Duration: 24 hours and 17 minutes
Course topics
Python Data Structures and Algorithms: Complete Guide Prerequisites
Basic knowledge of Python syntax and programming concepts is required.
Completion of Learn Python Programming Masterclass (or equivalent experience) recommended.
A computer with Python 3 installed and a code editor such as PyCharm, VS Code, or IntelliJ IDEA.
No prior experience with data structures or algorithms is required — everything is taught from first principles.
Pictures
Python Data Structures and Algorithms: Complete Guide introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
6.8 GB
