[Download Now] Mosh Hamedani – The Ultimate Data Structures & Algorithms: Part 2

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Studied computer science but never really understood the topic of data structures.

Maybe you don’t know anything about this important topic.

Maybe you failed the job interview because you couldn’t answer basic questions.

Why are data structures so important?

Data structures are used to solve problems. People who know more about data structures are better at problem-solving. That is the reason companies like it. Interviews with Microsoft and Amazon always include questions about data structures. They want to assess your problem-solving skills. They don’t care how many programming languages you know.

A complex topic made simple

That is the reason I made this course. I want to demystify data structures.

When my college lecturer tried to teach it, I was hopelessly confused. I had to teach myself. I want to save you the time I spent at the library trying to wrap my head around it, because I am an expert on the topic.

By the end of this course…

You will be able to.

• Ace your next coding interview
• Write better, faster code
• Become a better developer
• Improve your problem solving skills
• Master computer science fundamentals
• Implement all the essential data structures from scratch
• Master dozens of popular algorithms

What you’re going to learn

This course is the second of a series. In the first part , we covered the linear data structures (Arrays, Linked Lists, Stacks, Queues and Hash Tables). In this part, we’ll be focusing on non-linear data structures. Part 3 is about searching, sorting and string manipulation algorithms.

This is what you will learn in this part.

• Binary Trees
• AVL Trees
• Heaps
• Tries
• Graphs

This is the most complete data structure online. Every example and exercise is picked from popular interview questions.

Who is this course for?

• Anyone preparing for a coding job interview
• Computer science students whose lecturers failed to explain the topics
• Self-taught developers who missed out on a computer science degree
• Anyone who wants to become a better developer

The curriculum for the course.

Getting started. The start begins with an introduction. Start2 is a source code. There are 73 trees. The introduction is 0:55. What are trees? Populating a search tree is an exercise. Building a tree is an exercise. There is a solution in the preview 5. The solution is found in the preview6. The beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the beginning of the Exercise- Tree Traversal. Start9- Recursion Start10- Depth First Traversals. Start 11 has Depth and Height. There is a minimum value in a tree. Start13- Exercise- Equality Checking. Start14 has an Equality Checking solution. Exercise Validating Binary Search Trees is the start of the 15th. Start16 is a solution for Validating Binary Search Trees. The exercise is at K Distance. The solution is at K distance from the root. Start19- Level Order Traversal. The exercises are for trees. Start21 Summary There are AVL trees. The start begins with an introduction. There are balanced and unbalanced trees. The first rotation was 5:02. The start is AVL Trees. AVL Rotations is the start of the exercise. Building an AVL Tree is the start of the exercise. Start7 solution- insert The beginning of the exercise- height calculation. Start9- solution- height calculation Start10 is an exercise and balance factor. The solution has a balance factor. Start12- Exercise- detecting rotation. The solution is detecting rotation. The start of the exercise is Implementing Rotations. The solution is Implementing Rotations. There are exercises for the AVL trees. Summary of start 17 A quick note. There are 53m of Heaps. The start begins with an introduction. What are you talking about (6:28) Start3 is an exercise that involves working with lots of people. Start4 is an exercise that builds a heap. Start5- solution- insert Start6- solution to remove Start7 solution with edge cases. Start8- Heap Sort. Priority Queues start 9. Start10 is an exercise that begins with an exercise that begins with an exercise that begins with an exercise that begins with an exercise that begins with an exercise that begins with an exercise that begins with an exercise that begins with an exercise that begins with an exercise that begins with an exercise that begins with Start11 has a solution called Heapify. Start12- solution-optimization Start13- Exercise- Kth largest item. Start14 solution is the largest item. Start 15 exercises. Summary of Start16 Tries (46m) The start begins with an introduction. What are the Tries? Populating a Trie is an exercise. Building a Trie is an exercise. The solution is Building a Trie. Start6 is an implementation with a table. Start 7- A better abstraction. Start8- exercise looking up a word Start9 has a solution called looking up a word. Start10- Traversals The beginning of the exercise is removing a word. The solution is removing a word. Start13- Exercise- Automatic Completion. Start14 has an auto completion solution. Start 15 exercises. Start16- Summary A quick note. There are 66m of graphs. The start begins with an introduction. What are graphs? Start 3- Adjacency Matrix. Start 4- Adjacency List. Building a Graph is an exercise. Adding Nodes and Edges is a solution. The solution is removing Nodes and Edges. There are start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 and start 8 Start9 is an exercise that involves Traversal Algorithms. Start10- Exercise- Depth-first Traversal. The solution is the Depth-first Traversal. Start 12- Exercise- Depth-first Traversal (Iterative). The solution is Depth-first Traversal. The beginning of the exercise is the breadth-first Traversal. Start15 has a solution called Breadth-first Traversal. Start16- Exercise- Topological Sorting. Start17- solution- topological sort Start18- Exercise- Cycle Detection (Directed Graphs) The solution is Cycle Detection (Directed Graphs). Start20- Graphs Summary Undirected Graphs are 59m in length. The start begins with an introduction. Weighted Graphs are the start of the exercise. Start3 solution Weighted Graphs Start4 is an object-oriented solution. The Shortest Path Algorithm was written by Dijkstra. Exercise getting the shortest distance. The shortest distance is the start7- solution. Start8- solution- shortest path. Start9- Exercise- Cycle Detection Cycle Detection (Undirected Graphs) is a Start10 solution. There is a minimum Spanning Tree. Start 12 is an exercise. Start13 has a solution called Prim’s Algorithm. Start14- Course Wrap Up. Thank you.