Climbing Stairs: 70 - google, meta interview question

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Learn to solve this amazing Leetcode easy, problem that has been asked in hundreds of technical interviews at companies like Nvidia, Google, Facebook, Amazon, Linked in, Microsoft, Meta, apple, Uber.

Welcome to our in-depth tutorial on LeetCode Problem 70: Climbing Stairs. In this video, we'll guide you through understanding the problem statement, exploring various solution approaches (brute force, better, and optimal), and explaining a fully-detailed Java implementation.

This type of problem is common in coding interviews and mastering it will help you get closer to landing your dream job!

Get ready to be blown away by the ultimate guide to conquering the "Climbing Stairs " LeetCode problem! In this high-octane, action-packed video, we'll take you on an epic coding journey through the maze of this challenging problem, helping you master the art of efficient data structure and algorithm solution and clean Java code writing.

Join us as we:
Understand the problem statement.
Figure out brute force and optimal solution.
Time and space complexity and full thought process.
Java code with a live coding session.
Share exclusive tips and tricks that will elevate your problem-solving skills to a whole new level.

By the end of this video, you'll have mastered the "Target Sum " LeetCode problem and be ready to tackle even more programming challenges with confidence!

Don't miss this once-in-a-lifetime opportunity to level up your coding game! Smash that like button, hit subscribe, and let's embark on this thrilling adventure together!

My Mission:
"Empower everyone person in the world to be better at technical interviews, by providing valuable and free tools"

Not stopping till we get employed in FAANG.

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

Amazon interview,
Adobe interview,
Google interview,
Apple interview,
Microsoft interview,
Facebook interview,
Bloomberg interview,
Uber interview,
Spotify interview,
Goldman Sachs interview,
Expedia interview,
Oracle interview,
Yahoo interview,
Zoho interview,
Visa interview,
Morgan Stanley interview,
IBM interview,
Paypal interview,
JPMorgan interview,
Walmart Global Tech interview,
VMware interview,
tcs interview,
Square interview,
Snapchat interview,
Citadel interview,
Infosys interview,
Accolite interview,
SAP interview,
eBay interview,
Cisco interview,
Citrix interview,
Nvidia interview,
GoDaddy interview,
Deutsche Bank interview,
Splunk interview,
Optum interview,
Siemens interview,
Cognizant interview,
ByteDance interview,
Twitter interview,
Nagarro interview,
ServiceNow interview,
Qualcomm interview,
PayTM interview,
Yandex interview,
Airbnb interview,
Wayfair interview,
Groupon interview,
Capital One interview,
HBO interview,
Poshmark interview,
ZScaler interview,
United Health Group interview,
Shopee interview,
Epam Systems interview,
Athenahealth interview,
LinkedIn interview,
Yelp interview,

Understanding the problem: 00:00
Brute Force: 01:34
Optimal Solution: 02:58
Code: 08:38
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GitHub Repository for Questions solved so far:

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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