In this tutorial we will be exploring PyPolars - an alternative to Pandas for data analysis which is a Rust DataFrame Library used in Python.

⏲===TimeStamps===⏲
0:01 What is PyPolars
0:54 Installation
02:40 Reading CSV
03:30 Head()/Tail()
04:07 Shape
04:30 DataTypes
06:00 Describe() /Simple Pandas Hack
06:50 Selection of Columns
09:00 Select Multiple Columns
09:35 Select via df.select_at_idx()
11:00 Row Selection
12:00 Slicing
13:40 Select Different Rows of a column
14:10 Select Different Rows of Multiple columns
15:00 Value Counts
16:30 Applying Functions& Filters
17:31 Boolean Indexing
19:33 Applying A Function
21:33 Using Lambda functions
22:15 Using Custom Functions
23:10 Convert Series to Dictionary
26:40 Lazy API For Apply
33:00 to_pandas() alternative
34:27 GroupBy
36:27 Multiple Selection of Groupby

💻 Code:https://github.com/Jcharis/DataScienceTools/tree/master/PyPolars_Data_Analysis
📝 Docs: https://github.com/ritchie46/polars
📝 Written Tuts: https://bit.ly/3oBt1lV
pip install py-polars

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#python #data-science