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Python videos | Python Part 19 - Pandas

Posted by Andy Brown on 12 November 2021

Python Part 19 - Pandas

This tutorial explains what pandas is and does, including creating dataframes, importing data into them from CSV files, Excel workbooks and SQL Server tables, indexing dataframes, showing statistics and much more besides!

See our full range of Python training resources, or test your knowledge of Python with one of our Python skills assessment tests.

This video has the following accompanying files:

File name	Type	Description
Example dataframe.webp	Image	An example dataframe
A - Getting started.py	Python code	Creating dataframes and series
B - Showing dataframe info.py	Python code	Showing information about dataframes
C - read and write CSV.py	Python code	Reading to and writing from CSV files
films.csv	CSV file	The CSV files created
D - read and write Excel.py	Python code	Reading to and writing from Excel workbooks
films.xlsx	Excel workbook	The Excel workbook created
E - read and write SQL Server.py	Python code	Reading to and writing from SQL Server tables
F - slicing and indexing.py	Python code	Slicing and indexing dataframes
G - Sort and filter.py	Python code	Sorting and filtering dataframes
H - statistics and grouping.py	Python code	Statistics and grouping
I - column operations.py	Python code	Creating new columns
J - other operations.py	Python code	Renaming columns
J - other operations (2).py	Python code	Joining or merging dataframes
Films and directors.xlsx	Excel workbook	Workbook containing data to join
J - other operations (3).py	Python code	Removing duplicate rows
K - matplotlib.py	Python code	Using matplotlib
Useful links.txt	Text file	Useful links

Click to download a zipped copy of the above files.

After watching this video, you may like to test your understanding by doing one or more of the following exercises:

Exercise	Level
Read an Excel workbook into a Pandas dataframe, then perform various operations	Standard

You can also download the answers to each exercise from the links above.

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