What you'll learn
Develop your analytical skills on Data structures and Algorithms
Master the Easy LeetCode's Blind75 Algorithms, a list of 75 most frequent asked LeetCode questions
Implement Data structures and Algorithms in Python language
Learn the most common Algorithms solving techniques

Requirements
Basic understanding of Python language would be helpful for coding, but not necessary to understand the techniques

Description
Welcome to the beginner course of "Blind 75 Algorithms from LeetCode", the only course that has curated list of most commonly asked interview questions. With just 3+ hours of video content, this course is without a doubt the best place to start learning the Algorithms and most common data structure. The course includes 3+ hours of HD video tutorials where we have explained multiple and best approaches of solving an algorithm. The time and space complexity analysis is explained for every algorithm. We will use many examples to make the lectures very easy to understand.By the end of this course you will improve your problem solving ability and speed in the following sections.1. Arrays and Hashmaps2. Two pointers3. Sliding window4. Stacks5. Linked lists6. Trees7. 1D dynamic programming8. Intervals9. Bit manipulationSo, I strongly recommend you to take this course.If you have any questions, please feel free to reach me in the Q&A section. I will get back to you as soon as possible.If you have any suggestions on me improving the videos and contents, please also let me know, so that I can make better videos in the future. I hope you have a wonderful learning experience here!

Overview
Section 1: Introduction

Lecture 1 Welcome

Section 2: Arrays and Hashmaps

Lecture 2 Introduction

Lecture 3 Valid anagram

Lecture 4 Valid anagram - Python

Lecture 5 Contains duplicate

Lecture 6 Contains duplicate - Python

Lecture 7 Two sum

Lecture 8 Two sum - Python

Section 3: Two pointers

Lecture 9 Valid palindrome

Lecture 10 Valid palindrome - Python

Section 4: Sliding window

Lecture 11 Best time to buy and sell a stock

Lecture 12 Best time to buy and sell a stock - Python

Section 5: Stacks

Lecture 13 Introduction

Lecture 14 Implement Stack Data structure in Python

Lecture 15 Valid parantheses

Lecture 16 Valid parantheses - Python

Section 6: Linked lists

Lecture 17 Introduction

Lecture 18 List node in Python

Lecture 19 Reverse a linked list

Lecture 20 Reverse a linked list - Python

Lecture 21 Merge two sorted lists

Lecture 22 Merge two sorted lists - Python

Lecture 23 Linked list cycle

Lecture 24 Linked list cycle - Python

Section 7: Trees

Lecture 25 Introduction

Lecture 26 Binary tree in Python

Lecture 27 Invert binary tree

Lecture 28 Invert binary tree - Python

Lecture 29 Maximum depth of a binary tree

Lecture 30 Maximum depth of a binary tree - Python

Lecture 31 Same tree

Lecture 32 Same tree - Python

Lecture 33 Subtree of another tree

Lecture 34 Subtree of another tree - Python

Section 8: 1D dynamic

Lecture 35 Climbing stairs

Lecture 36 Climbing stairs - Python

Section 9: Intervals

Lecture 37 Meeting rooms

Lecture 38 Meeting rooms - Python

Section 10: Bit manipulation

Lecture 39 Number of 1 bits

Lecture 40 Number of 1 bits - Coding

Lecture 41 Counting bits

Lecture 42 Counting bits - Python

Lecture 43 Reverse bits

Lecture 44 Reverse bits - Python

Lecture 45 Missing number

Lecture 46 Missing number - Python

Are you a student who has algorithms and data structures in your academics? This course is for you.,Are you an algorithm's enthusiast? This course is for you.,Are you looking for a high pay job and want to learn algorithms but don't know where to start your preparation? This course is for you,Are you a Python programmer who wants to learn algorithms? This course is especially for you.,Are you an any programmer for that matter who wants to learn algorithms? This course is also for you.

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