Learning the Polars DataFrame Library!
Learn data skills with hands-on exercises & tutorials at Datacamp!
Even though it's been out for a bit now, I haven't really touched the Polars library, but that's about to change! I figure it might be a cool opportunity to showcase how I go about learning something new so I plan to livestream for 2-3 hours as I start to get more comfortable with the library. Learn some strategies and techniques that you can employ to learn new skills efficiently. Pick up some dataframe manipulation skills in the process. Hope to see you there.
Github:
Migrating from Pandas to Polars Resource:
Data referenced
Original Pokemon Dataset:
Trending YouTube Videos:
Video timeline!
0:00 - Random Banter
2:10 - Livestream Overview & General Learning Strategy
12:46 - Getting started with Polars
15:00 - I temporarily don't know how to share my screen
16:23 - Getting started with Polars (in code)
21:36 - Expressions in Polars (Select, Filter)
29:10 - Learning Polars vs Pandas Strategy
31:10 - Main Polars Concepts (Exploring the Documentation)
38:35 - Performance Benefits of Polars vs Pandas
42:23 - More complex Polars select context
46:34 - Exploring Polars Documentation (with_columns, filters, group_by)
48:20 - Groupby Example (see comments for small correction)
56:57 - Q&A: How long did it take you to learn Python for Data Science?
58:35 - Q&A: What laptop are you using?
1:01:01 - Q&A: Have you ever gotten stuck at work? What did you do?
1:04:29 - Q&A: Any advice on leetcoding?
1:06:06 - Performance Benefits of Polars (Loading in 2gb file)
1:14:24 - Q&A: How to get started with freelance projects?? (& Upwork Strategy)
1:22:45 - More Polars Exploration & Continued Learning Strategy
1:39:22 - Question & Answer Session
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Смотрите видео Learning the Polars DataFrame Library! онлайн без регистрации, длительностью 01 часов 49 минут 41 секунд в хорошем hd качестве. Это видео добавил пользователь Keith Galli 09 Август 2024, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 4 тысяч раз и оно понравилось 16 людям.