Leetcode 197 - Rising Temperature - Python Solution | FAANG Interviews

📚 Resources:
- Question: https://leetcode.com/problems/rising-temperature/?lang=pythondata
- Leetcode SQL Playlist: https://youtube.com/playlist?list=PLtfxzVLWb-B-O3VAjxsoZYgG6d8WMnPjG&si=c8QuBCTTRjNYFTIO
- Leetcode SQL solution: https://youtu.be/b3LphTjCZ8o?si=6_SuldSZymYBuP8E

- Pandas Schema:
data = [[1, '2015-01-01', 10], [2, '2015-01-02', 25], [3, '2015-01-03', 20], [4, '2015-01-04', 30]]
weather = pd.DataFrame(data, columns=['id', 'recordDate', 'temperature']).astype({'id':'Int64', 'recordDate':'datetime64[ns]', 'temperature':'Int64'})

In this exciting video, we dive headfirst into the world of FAANG interviews, armed with Python and the powerful Pandas library for data science! 🚀

Join me on this thrilling journey as we tackle some of the most challenging and sought-after interview questions asked by FAANG companies like Facebook, Apple, Amazon, Netflix, and Google. Whether you're a seasoned data scientist or just getting started, this video has something for everyone.

🧠 What You'll Learn:
- Step-by-step solutions to real FAANG interview questions.
- Python and Pandas techniques tailored for data science.
- Insider tips and strategies to ace your FAANG interview.

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🔥 Why Watch? This video is your one-stop-shop for conquering FAANG interviews with Python and Pandas. We break down complex problems into easy-to-understand solutions, so you can build confidence and excel in your next technical interview.

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Видео Leetcode 197 - Rising Temperature - Python Solution | FAANG Interviews канала Everyday Data Science