The Complete Beginnerโ€™s Guide To Data Structures and Algorithms

What are Data Structures and Algorithms? ๐Ÿคทโ€โ™‚๏ธ

What is a data structure? ๐ŸŽฏ

What is an Algorithm? ๐Ÿš€

Qualities of Good Algorithms ๐Ÿฅ‡

  1. Each step in the algorithm should be clear and unambiguous.
  2. Algorithms should be most effective among many different ways to solve a problem.
  3. An algorithm should not include computer code.

Why should you learn Data Structures and Algorithms? ๐ŸŽฏ

Generally, software development involves learning new technologies daily. You get to know most of these technologies while using them in one of your projects. However, it is not the case with algorithms. ๐Ÿฅต
If you do not know algorithms well, you will not identify whether you can optimize the code. You are expected to know in advance and apply wherever possible and critical. โฐ

Write optimized and scalable code โ€” Once you know different data structures and algorithms, you can determine which data structure and algorithm to choose in various conditions. ๐Ÿฅ‡

Effective use of time and memory โ€” Knowing data structures and algorithms will help you write code that runs faster and requires less storage. ๐Ÿ†

How To Learn Data Structures And Algorithms? ๐Ÿ“š

Learn DSA from YouTube and Google ๐ŸŽฌ

Learn DSA from Books ๐Ÿ“•

Introduction to Algorithms by Thomas H. Cormen: It is one of the most popular algorithm books, but it contains a heavy dose of theory.

Algorithms by Robert Sedgewick and Kevin Wayne: You will learn lots of background on the algorithms.

The Algorithm Design Manual by Steve S.Skiena: This is another excellent book on computer algorithms that go over many algorithms with code.

Learn DSA through visualization ๐Ÿ˜

Data Structures - The Ultimate Guide For Beginners ๐Ÿ†

What is a data structure? ๐ŸŽฏ

Eight common data structures every programmer must know: ๐Ÿ‘จโ€๐Ÿ’ป

Linked Lists: A linked list data structure includes a series of connected nodes. Here, each node store the data and the address of the next node.

Stacks: A stack is just like a pile of plates kept on top of each other. It follows the Last In First Out(LIFO) principle.

Queues: It is similar to the ticket queue outside a cinema hall, where the first person entering the line is the first person who gets the ticket. It follows the First In First Out (FIFO) rule.

Hash Tables: The hash table is a data structure that stores elements in key-value pairs.

Trees: A tree is a hierarchical structure where data is organized hierarchically and is linked together.

Heaps: Heap data structure is a complete binary tree that satisfies the heap property. It is also called a binary heap.

Graphs: A graph consists of a finite set of vertices or nodes and edges connecting these vertices.

What is an Algorithm? ๐Ÿš€

Six algorithms every programmer must know: ๐Ÿ‘จโ€๐Ÿ’ป

Divide and Conquer Algorithm: Divide the algorithm into two parts; the first parts divide the problem on hand into smaller subproblems of the same type. Then, in the second part, these problems are solved and then added together to produce the final solution.

Dynamic Programming Algorithm: These algorithms work by remembering the results of the past run and using them to find new solutions.

Greedy Algorithm: In this algorithm, a decision is made that is good at that point without considering the future.

Brute Force Algorithm: A brute force algorithm blindly iterates all possible solutions to search one or more than one solution that may solve a function.

Backtracking Algorithm: Backtracking is a technique to find a solution to a problem in an incremental approach. It solves a problem recursively and tries to solve it at a time. If one of the solutions fails, we remove it and backtrack to find another solution.


Thank you! I hope you learned a lot.

- Deon Cardoza

Follow Me On Instagram and Subscribe To My YouTube Channel If You Want To Become A Successful Programmer! ๐Ÿ‘จโ€๐Ÿ’ป

๐Ÿ˜ช โ€ข Yet another kid teaching you to program ๐ŸŒฟ โ€ข Founder at โ˜• โ€ข Giving You Coding Tips.

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