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Complete Python Pandas Data Science Tutorial - Reading CSV-Excel Files, Sorting, Filtering, Groupby
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- 1 - Why Pandas?
- 2 - Installing Pandas
- 3 - Getting the data used in this video
- 4 - Loading the data into Pandas CSVs, Excel, TXTs, etc.
- 5 - Reading Data Getting Rows, Columns, Cells, Headers, etc.
- 6 - Iterate through each Row
- 7 - Getting rows based on a specific condition
- 8 - High Level description of your data min, max, mean, std dev, etc.
- 9 - Sorting Values Alphabetically, Numerically
- 10 - Making Changes to the DataFrame
- 11 - Adding a column
- 12 - Deleting a column
- 13 - Summing Multiple Columns to Create new Column.
- 14 - Rearranging columns
- 15 - Saving our Data CSV, Excel, TXT, etc.
- 16 - Filtering Data based on multiple conditions
- 17 - Reset Index
- 18 - Regex Filtering filter based on textual patterns
- 19 - Conditional Changes
- 20 - Aggregate Statistics using Groupby Sum, Mean, Counting
- 21 - Working with large amounts of data setting chunksize
