Dynamic Programming full course for technical interviews
Welcome to the ultimate Dynamic Programming full course for technical interviews! In this comprehensive video, we cover everything you need to know about Dynamic Programming (DP) to ace your coding interviews.
After this course I guarantee that you will become master at dynamic programming interview questions.
Timestamps:
Introduction: 00:00:00
What is Dynamic Programming: 00:00:46
History of Dynamic Programming: 00:04:53
Recursion, Memoization, Tabulation: 00:05:57
Top down vs Bottom up approach: 00:09:13
Climbing Stairs: 00:12:33
Min Cost Climbing Stairs: 00:22:44
Coin Change: 00:33:11
Decode Ways: 01:03:56
Pascal's Triangle: 01:29:56
Word Break: 01:43:05
Combination Sum: 02:05:41
House Robber: 02:27:19
House Robber II: 02:42:59
Unique Paths: 02:56:55
Generate Parentheses: 03:08:41
Jump Game: 03:24:35
Jump Game II: 03:44:11
Race Car: 03:59:54
Longest Increasing Subsequence: 04:28:39
Longest Palindromic Substring: 05:16:51
Palindromic Substrings: 05:33:37
Maximum Product Subarray: 05:47:23
Partition Equal Subset Sum: 06:01:52
Regular Expression Matching: 06:17:14
In this course, we dive deep into:
What is Dynamic Programming and why it is important
Characteristics and benefits of DP
When to use Dynamic Programming
Key concepts: Recursion, Memoization, Tabulation
Top down vs Bottom up approach
Practical use cases and examples
We also solve 20 of the most asked, most liked, and most popular LeetCode dynamic programming interview questions. Each problem is explained in detail with examples and visuals to ensure you understand the underlying concepts.
By completing this course, you will become proficient in solving all types of DP questions, making you well-prepared for any technical interview. This course is suitable for all levels of programmers, whether you are a beginner or an experienced developer.
Start mastering Dynamic Programming today and boost your interview skills!
Most asked questions link: https://docs.google.com/spreadsheets/d/1hzP8j7matoUiJ15N-RhsL5Dmig8_E3aP/edit#gid=1377915986
-------------------------------------------------------------------------------------------------------------------------
(Contact me for Business Inquiries):
Email: parth.vyas2729@gmail.com
GitHub Repository for Questions solved so far:
https://github.com/DestinationFAANG/Destination-FAANG-Java-Solution
Check out my second channel: https://www.youtube.com/@UnintentionalArtist
(Support the channel, if videos helps you in any manner... Give me a Coffee)
Patreon: https://www.patreon.com/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
Видео Dynamic Programming full course for technical interviews канала Destination FAANG
After this course I guarantee that you will become master at dynamic programming interview questions.
Timestamps:
Introduction: 00:00:00
What is Dynamic Programming: 00:00:46
History of Dynamic Programming: 00:04:53
Recursion, Memoization, Tabulation: 00:05:57
Top down vs Bottom up approach: 00:09:13
Climbing Stairs: 00:12:33
Min Cost Climbing Stairs: 00:22:44
Coin Change: 00:33:11
Decode Ways: 01:03:56
Pascal's Triangle: 01:29:56
Word Break: 01:43:05
Combination Sum: 02:05:41
House Robber: 02:27:19
House Robber II: 02:42:59
Unique Paths: 02:56:55
Generate Parentheses: 03:08:41
Jump Game: 03:24:35
Jump Game II: 03:44:11
Race Car: 03:59:54
Longest Increasing Subsequence: 04:28:39
Longest Palindromic Substring: 05:16:51
Palindromic Substrings: 05:33:37
Maximum Product Subarray: 05:47:23
Partition Equal Subset Sum: 06:01:52
Regular Expression Matching: 06:17:14
In this course, we dive deep into:
What is Dynamic Programming and why it is important
Characteristics and benefits of DP
When to use Dynamic Programming
Key concepts: Recursion, Memoization, Tabulation
Top down vs Bottom up approach
Practical use cases and examples
We also solve 20 of the most asked, most liked, and most popular LeetCode dynamic programming interview questions. Each problem is explained in detail with examples and visuals to ensure you understand the underlying concepts.
By completing this course, you will become proficient in solving all types of DP questions, making you well-prepared for any technical interview. This course is suitable for all levels of programmers, whether you are a beginner or an experienced developer.
Start mastering Dynamic Programming today and boost your interview skills!
Most asked questions link: https://docs.google.com/spreadsheets/d/1hzP8j7matoUiJ15N-RhsL5Dmig8_E3aP/edit#gid=1377915986
-------------------------------------------------------------------------------------------------------------------------
(Contact me for Business Inquiries):
Email: parth.vyas2729@gmail.com
GitHub Repository for Questions solved so far:
https://github.com/DestinationFAANG/Destination-FAANG-Java-Solution
Check out my second channel: https://www.youtube.com/@UnintentionalArtist
(Support the channel, if videos helps you in any manner... Give me a Coffee)
Patreon: https://www.patreon.com/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
Видео Dynamic Programming full course for technical interviews канала Destination FAANG
dynamic programming technical interview preparation leetcode dynamic programming programming tutorials dynamic programming course technical interview tips algorithms and data structures software developer interview coin change dynamic programming dynamic programming playlist dynamic programming interview questions dynamic programming full course dynamic programming problems it career dsa how to get a job in it dsa full course dp ai leetcode dsa course it jobs
Комментарии отсутствуют
Информация о видео
24 июля 2024 г. 12:30:04
06:44:50
Другие видео канала