New Video: Algorithm.

i know most of the people wants me to make framework and High level videos.

but, it's better to know the foundation.

This series of computer Science core concepts will be very helpful for self thought developers.

GO and learn the gist.

https://www.youtube.com/watch?v=4ae6gujJqjI

which habit do you have ?

what ?

Different types of algorithms :

1. Brute Force Algorithm:
- Tries all possible solutions.
- Simple but can be inefficient.

2. Recursive Algorithm:
- Breaks problems into smaller subproblems.
- Often used in divide-and-conquer approaches.

3. Dynamic Programming Algorithm:
- Optimizes solutions by reusing results.
- Common for optimization problems.

4. Divide And Conquer Algorithm:
- Divides problems, solves, and combines results.
- Efficient for sorting and searching.

5. Greedy Algorithm:
- Makes locally optimal choices.
- Used in minimum spanning trees, Huffman coding.

6. Backtracking Algorithm:
- Explores all options systematically.
- Useful for problems with constraints.

7. Randomized Algorithm:
- Introduces randomness for efficiency.
- Examples: Monte Carlo simulations, randomized quicksort.

@EmmersiveLearning

Learn The high level overview of algorithm. 👇

https://www.youtube.com/watch?v=4ae6gujJqjI

Data Structure course.. .

New Video Out.

High level overview of Data Structure

Learn.


https://youtu.be/VLLAFULBj78?si=yUUxgYBomfIWU1Gw

Data Structures in short :

- Primitive:
- byte
- short
- int
- float
- char
- boolean
- long
- double

- Non-Primitive:
- Linear:
- Array
- Stack
- Queue
- Linked-list

- Non-linear:
- Trees
- Graph
- Heap
- Hash

#datastructure
#algorithm

@EmmersiveLearning

Learn all this list in this video.

https://youtu.be/VLLAFULBj78?si=yUUxgYBomfIWU1Gw

DSA:

1. Data Structures:
- Linked List: A linear data structure where elements are connected via pointers.
- Matrix/Grid: A 2D array with rows and columns.
- Queue: Follows the First-In-First-Out (FIFO) principle.
- Stack: Follows the Last-In-First-Out (LIFO) principle.
- Array: A collection of elements with a fixed size.
- Hash: Uses a hash function to map keys to values.
- Graph: Consists of nodes connected by edges.
- Tree: A hierarchical structure with a root and child nodes.

2. Algorithms:
- Pattern Searching: Finding occurrences of a pattern in a text.
- Divide & Conquer: Breaking a problem into smaller subproblems.
- Searching: Locating an element in a data structure.
- Sorting: Arranging elements in a specific order.
- Bitwise Operations: Manipulating individual bits.
- Greedy Algorithms: Making locally optimal choices.
- Recursion: Solving problems by dividing them into smaller instances.
- Backtracking: Exploring all possible solutions.
- Dynamic Programming: Solving problems by breaking them down into overlapping subproblems.

Remember, mastering these concepts is essential for becoming a proficient programmer! 🚀

@EmmersiveLearning


Learn Here.

with videos :
Algorithm: https://www.youtube.com/watch?v=4ae6gujJqjI

Data Structure: https://youtu.be/VLLAFULBj78?si=yUUxgYBomfIWU1Gw

😊😂😂

anything missed ?... or to be corrected ?😎

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Good Morning.

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i recommend to watch this videos before learning any development skill.

this are the foundation.

Posted respectively. 👇

Intro to Computer Science and related fields.

https://www.youtube.com/watch?v=QMnwj_i8_AA

Crash Course for Algorithm.

https://www.youtube.com/watch?v=4ae6gujJqjI

Crash Course for Data Structure

https://youtu.be/VLLAFULBj78?si=yUUxgYBomfIWU1Gw

and More Courses...COming....

Stay Tuned!....

Learn with US.

@EmmersiveLearning

who is stopping you to code here ? 😊