#linkedlist #Reverse #Linked #List #java # #Technical #Interview #Question #twitter #interview #Amazon #Bloomberg #Microsoft #Apple #Google #Facebook #Meta #eon #musk
Learn this awesome Linked List Interview question that is easy to understand. This is a great problem to understand Linked List type of problem.
Solve this beautiful Leetcode easy, Linked List problem that has been asked in many technical interviews at companies like Twitter, Google, Facebook, Meta, Bloomberg, Amazon, Microsoft, uber, ebay.
Will Eon Musk Ask this question in their technical Interview, after acquiring twitter?
Problem: Reverse Linked List - Leetcode 206
Linked List is one of the most versatile data-structures, that can be used in so many different ways. Here are few of Linked List applications.
Implementation of Stack and Queues
Graph Implementation
Dynamic Memory Allocation
Directory Maintainance
Performing Arithmetic Operations on Long Integers
Polynomial Manipulation
Represent Sparse Matrix
Leetcode link: https://leetcode.com/problems/reverse...
Leetcode Problem: 206
Not stopping till we get employed in FAANG.
This Problem was recently asked in following companies in Technical Coding Interview:
Amazon interview,
Apple interview,
Facebook interview,
Google interview,
Bloomberg interview,
Yandex interview,
Intuit interview,
Nvidia interview,
PayTM interview,
Microsoft interview,
Uber interview,
Twitter interview,
Apple interview,
Yahoo interview,
Goldman Sachs interview,
ByteDance interview,
-------------------------------------------------------------------------------------------------------------------------
(Contact me if you want to sponsor your product):
Email: [email protected]
List of Most Important Questions and Solutions:
https://docs.google.com/spreadsheets/...
GitHub Repository for Questions solved so far:
https://github.com/DestinationFAANG/D...
(Support the channel, if videos helps you in any manner... Give me a Coffee)
Patreon: / destination_faang
About me and My Purpose:
I am a software engineer with 5+ years of experience @ Non-FAANG company. I have always been bad at coding and really bad at programming interviews. So, once I got employed in IT industry, I worked on operations (just so I can avoid coding).
But deep down I always wanted to work at an Elite IT company. So, I decided to face my fears, and to master coding & technical Interviews. I started with LeetCoding 1 problem a day. But I was facing issues with consistency, I would solve LC problems for week, and then drop it for 2-3 weeks. This lasted till 6 months.
And upon deeper investigation I found that I was not committed enought. Then suddenly my wife gave me an idea, that rather then focusing on solving a LC problem for my-self, why don't I commit to make videos on solving the LC problems. And try to complete atleast one video a day. Hence, I started this channel.
Here are reasons on why I started the channel.
1) To have a motive for me to solve leetcode problems.
2) In order to solve a LC problem, first I have to really understand the problem and explain my thought process, which solidifies my concepts.
3) I can document my progress. Also learn a new skill on how to run a YT channel.
4) My work can help other software engineers.
5) I can have something cool to mention in my linked-in and resume.
-----------------------------------------------------------------------------------------------------------------------------------
Here is a list of my dream Companies:
FAANG,
Meta,
Facebook,
Google,
Amazon,
Netflix,
Microsoft,
apple,
doordash,
roblox,
stripe,
instacart,
uber,
lyft,
twitter,
linked In,
pinetrest,
bloomberg,
robinhood,
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,
Introduction: 00:00
Update on my Goldman Sachs Interview: 00:37
Understanding the Problem Statement: 00:51
Optimal Solution: 02:00
Coding: 05:41
Информация по комментариям в разработке