Blind75 Algorithms From Leetcode | Python
Blind75 Algorithms From Leetcode | Python
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 958.17 MB | Duration: 3h 15m
Easy Blind75 algorithms from LeetCode are explained and coded in Python language
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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