Скачать или смотреть Serialize and Deserialize Binary Tree: 297 - Tree technical interview, @ Google, apple, Amazon, meta

#tree #binarytree #bst #leetcode #technical #interview #question #problem #bfs #dfs #inorder #preorder #postorder #googleinterview #amazoninterview #facebookinterview #appleinterview #microsoftinterview #google #facebook #microsoft #amazon #apple #meta #bloomberg #timecomplexity #spacecomplexity #optimalsolution #string #depthfirstsearch #breadthfirstsearch #design


Learn to solve this amazing Leetcode hard, Binary Tree problem that has been asked in hundreds of technical interviews at companies like Google, Facebook, linked in, Microsoft, Meta, apple, Uber.

LeetCode Problem: Serialize and Deserialize Binary Tree
Leetcode link: https://leetcode.com/problems/binary-...
Leetcode: 297


Not stopping till we get employed in FAANG.

This Problem was recently asked in following companies in Technical Coding Interview:

Amazon technical interview,
Microsoft technical interview,
LinkedIn technical interview,
Uber technical interview,
Google technical interview,
DoorDash technical interview,
Facebook technical interview,
Nvidia technical interview,
C3 IoT technical interview,
Oracle technical interview,
Nutanix technical interview,
Apple technical interview,
Pinterest technical interview,
tiktok technical interview,
Snapchat technical interview,
Quora technical interview,
Adobe technical interview,
Coupang technical interview,
Qualtrics technical interview,
Splunk technical interview,
ByteDance technical interview,
eBay technical interview,
Bloomberg technical interview,
Citadel technical interview,
VMware technical interview,
Walmart Global Tech technical interview,
Goldman Sachs technical interview,
Salesforce technical interview,
Yahoo technical interview,
-------------------------------------------------------------------------------------------------------------------------
(Contact me for Business Inquiries):
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 only worked on operational activities (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 enough. 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 at-least one video every alternate day. Hence, I started this channel.

My ultimate aim is to get into FAANG company, and also create a channel in such a way that anyone wants to get into FAANG, if they just follow my channel, they should be able to clear all the FAANG Technical Interviews.

Here are few more 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,
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

Introduction: 00:00
A Quick Announcement: 00:07
Understanding the Problem Statement: 00:18
Things needed for Optimal Solution: 01:48
Optimal Solution for Serialization: 02:40
Optimal Solution for Deserializing: 05:02
Coding: 07:33