> Trees and Graphs Data Structures and Algorithms In Python (DSA)

This "Trees and Graphs Data Structures and Algorithms In Python (DSA)" course is thoroughly detailed and uses lots of animations to help you visualize the concepts.

What you'll learn

• Understand various Trees and Graphs data structures and algorithms (DSA) through animations
• Get the ability to implement different Trees and Graphs data structures and algorithms in Python
• Get the confidence to face programming interviews
• Learn theory and implementation of AVL Trees, B Trees, Threaded Binary Trees and Expression Trees
• Graph, traversal and shortest path algorithms

This "Trees and Graphs Data Structures and Algorithms in Python (DSA)" tutorial provides a comprehensive explanation of different types of graph and various graph algorithms. Throughout the course a step by step approach is followed to make you understand different algorithms. Through this course you can build a strong foundation and it will help you to crack Trees and Graphs Data Structures and Algorithms in Python (DSA) coding interviews questions and work on projects. Good foundation on Trees and Graphs Data Structures and Algorithms in Python (DSA) interview topics helps you to attempt tricky interview questions.

This Trees and Graphs Data Structures and Algorithms using Python (DSA) course covers following topics with Python implementation :
Trees : AVL Tree, Threaded Binary Tree, Expression Tree, B Tree explained and implemented in Python.
Graphs : Adjacency matrix, Adjacency list, Path matrix, Warshall’s Algorithm, Traversal, Breadth First Search (BFS), Depth First Search (DFS), Dijkstra’s Shortest Path Algorithm, Prim's Algorithm and Kruskal's Algorithm for minimum spanning tree in Python

Here is the course content-

• AVL Tree
• Threaded Binary Tree
• Expression Tree
• B Tree
• Graph
• Traversal in Graph
• Shortest Paths in Graph
• Minimum Spanning Tree of a Graph

The Trees and Graphs Data Structures and Algorithms In Python (DSA) course is broken down into easy to assimilate short lectures and complete working programs are shown for each concept that is explained. The algorithms and examples are explained with figures and animations to simplify the learning of this complex topic. You will see code implementation of different Trees and Graphs data structures and algorithms in Python (DSA) are explained in step-wise manner.

In this Trees and Graphs Data Structures and Algorithms In Python In Depth (DSA) course, Python programs are used for implementing various concepts, but you can easily code them in any other programming languages like C, C++, Java, Python.

This Trees and Graphs Data Structures and Algorithms In Python (DSA) online course will help software developers to refresh the concepts studied in Trees and Graphs Data Structures and Algorithms In Python (DSA) books / notes / pdf and also to students learning from referred book / notes / pdf.

This Trees and Graphs DSA Self Paced course helps students to have great foundation to solve Trees and Graphs DSA in Python problems. This will help them to solve LeetCode dsa problems and in google, faang dsa coding interviews.

Trees and Graphs Data Structures and Algorithms In Python (DSA) programs implementation is available on GitHub.

What Students Say

"clearly explained"
"best course for clearing concepts."

This "Trees and Graphs Data Structures and Algorithms In Python (DSA)" online course is already helping lot of students. Also it will be a good complement to any book/tutorial.

So what are you waiting for, Enroll in Course Save 70% and start learning.

Who this course is for:

• Programmers looking for jobs
• Software Developers wanting to write efficient code
• Computer Science students having Data Structures as part of their curriculum
• Non Computer science students wanting to enter IT industry
• Technical Managers for hiring software engineers

Your Instructor

Deepali Srivastava has a Master's degree in Mathematics and is the author of popular books "C in Depth" and "Data Structures Through C in Depth" helped 350,000+ students. She loves programming, DSA and is passionate about teaching. More than 20,000+ students have enrolled in her Data Structures and Algorithms (DSA) online courses. Whether writing a book or making a course, she always tries to present the concepts in a simplified way which helps students develop interest in the topic being taught.