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This video covers the main topics in the Pandas library with a modern approach.
The idea is to cover the most important concepts that are actually needed to do data analysis with pandas effectively.
This includes reading data from CSV or parquet files, doing basic operations, aggregating data, reshaping data and working with time series data! A bit of everything!
Timeline
0:00 Contents of the Tutorial
1:19 Read data from CSV or Parquet files
8:26 Reading multiple CSV files and concatenating them
10:29 Selecting Columns
12:10 df.loc example
13:10 Method Chaining Example
14:42 Filtering Rows
16:46 Filtering Rows with df.query
19:41 Filtering rows with regular expressions
22:24 Sorting Data Frames
24:19 Updating Columns
17:50 Update Columns with assign
33:54 Update Columns with a regular expression
37:34 Value Counts, Groupby and Transform
46:38 Working with TIme Series Data
55:18 Plotting with Pandas
1:00:51 Reshaping data: Wide to Long
1:04:47 Reshaping data: Long to Wide
