Sorting Explained - full course
254 بار بازدید -
5 ماه پیش
-
In this comprehensive guide, we
In this comprehensive guide, we delve into the fascinating world of sorting, a cornerstone problem-solving technique in data structures and algorithms (DSA). Sorting plays a pivotal role in enhancing the efficiency of data manipulation and retrieval across various data structures, including arrays, strings, linked lists, trees, and binary trees. Whether you're preparing for technical interviews or looking to strengthen your coding skills, this video serves as an invaluable resource.
We meticulously analyze and solve five critical LeetCode problems that highlight the practical applications of sorting algorithms:
Merge Sorted Array: Learn how to combine two sorted arrays into a single, sorted array.
Largest Number: Discover the strategy to arrange numbers to form the largest possible number.
Sort List: Explore the techniques to sort a linked list using efficient algorithms.
Sort Colors: Understand the approach to sort an array consisting of a specific set of colors.
Majority Element: Find out how to identify the element that appears more than half the time in an array.
For each problem, we start by explaining the problem statement, followed by a discussion on various solution approaches. We then delve into the full optimal solution, including the thought process behind the solution, and provide detailed explanations of both time and space complexities. Our aim is to offer clear and concise code solutions to enhance your understanding and problem-solving skills.
At the core of this video is our commitment to free education and our ambition to empower individuals to excel in technology interviews and beyond. By breaking down complex concepts into easily understandable segments, we hope to make learning more accessible and enjoyable for everyone.
Why watch this video?
Comprehensive explanations of sorting problems and their applications.
Detailed solution approaches with optimal solutions.
Insight into the thought process behind each solution.
Analysis of time and space complexities to boost your efficiency.
A step towards acing your technical interviews with confidence.
Join us in our journey towards demystifying sorting algorithms and sharpening your coding prowess. Whether you're a beginner or an experienced programmer, this video has something valuable for everyone.
Let's empower each other to become better at tech interviews and beyond. Your feedback and questions are highly appreciated, so don't hesitate to comment below. Happy coding!
Introduction: 00:00
Merge Sorted Array: 00:28
Largest Number: 09:54
Sort List: 22:16
Sort Colors: 31:58
Majority Element: 45:02
-------------------------------------------------------------------------------------------------------------------------
(Contact me for Business Inquiries):
Email: [email protected]
GitHub Repository for Questions solved so far:
https://github.com/DestinationFAANG/D...
Check out my second channel: @unintentionalartist
(Support the channel, if videos helps you in any manner... Give me a Coffee)
Patreon: Patreon: Destination_Faang
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We meticulously analyze and solve five critical LeetCode problems that highlight the practical applications of sorting algorithms:
Merge Sorted Array: Learn how to combine two sorted arrays into a single, sorted array.
Largest Number: Discover the strategy to arrange numbers to form the largest possible number.
Sort List: Explore the techniques to sort a linked list using efficient algorithms.
Sort Colors: Understand the approach to sort an array consisting of a specific set of colors.
Majority Element: Find out how to identify the element that appears more than half the time in an array.
For each problem, we start by explaining the problem statement, followed by a discussion on various solution approaches. We then delve into the full optimal solution, including the thought process behind the solution, and provide detailed explanations of both time and space complexities. Our aim is to offer clear and concise code solutions to enhance your understanding and problem-solving skills.
At the core of this video is our commitment to free education and our ambition to empower individuals to excel in technology interviews and beyond. By breaking down complex concepts into easily understandable segments, we hope to make learning more accessible and enjoyable for everyone.
Why watch this video?
Comprehensive explanations of sorting problems and their applications.
Detailed solution approaches with optimal solutions.
Insight into the thought process behind each solution.
Analysis of time and space complexities to boost your efficiency.
A step towards acing your technical interviews with confidence.
Join us in our journey towards demystifying sorting algorithms and sharpening your coding prowess. Whether you're a beginner or an experienced programmer, this video has something valuable for everyone.
Let's empower each other to become better at tech interviews and beyond. Your feedback and questions are highly appreciated, so don't hesitate to comment below. Happy coding!
Introduction: 00:00
Merge Sorted Array: 00:28
Largest Number: 09:54
Sort List: 22:16
Sort Colors: 31:58
Majority Element: 45:02
-------------------------------------------------------------------------------------------------------------------------
(Contact me for Business Inquiries):
Email: [email protected]
GitHub Repository for Questions solved so far:
https://github.com/DestinationFAANG/D...
Check out my second channel: @unintentionalartist
(Support the channel, if videos helps you in any manner... Give me a Coffee)
Patreon: Patreon: Destination_Faang
Here is a list of some of the awesome companies in the tech world:
FAANG,
Meta,
Facebook,
Google,
Amazon,
Netflix,
Microsoft,
apple,
doordash,
roblox,
stripe,
instacart,
uber,
lyft,
twitter,
linked In,
pinetrest,
bloomberg,
robinhood,
Goldman Sachs,
box,
two sigma,
byte dance,
tik tok,
air bnb,
nuro,
ui path,
oracle,
twitch,
data bricks,
waymo,
dropbox,
coinbase,
snowflake,
snap,
nvdia,
broadcom,
slack,
intel,
cisco,
indeed,
salesforce,
reddit,
wayfair,
okta,
splunk,
service now,
coursera,
square,
upgrade,
mozilla,
yelp,
unity,
ebay,
affirm,
stach adapt,
amplitude,
github,
wish,
brex,
etsy,
chime,
shopify,
amd,
GoDaddy,
IBM
5 ماه پیش
در تاریخ 1402/11/17 منتشر شده
است.
254
بـار بازدید شده