In this video, we walk through many of the fundamental concepts to use the Python Pandas Data Science Library. We start off by installing pandas and loading in an example CSV. We then look at different ways to read the data. Read a column, rows, specific cell, etc. Also, ways to read data based on conditioning. We then move into some more advanced ways to sort & filter data. We also start doing aggregate stats using the group by function. We finished the video talking about how you would work with a very large dataset (many gigabytes)
Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.
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Thanks for watching friends! Happy coding! ;)
Pandas Documentation - https://pandas.pydata.org/docs/
Sample Data (The Data I used in my video) - https://www.kaggle.com/dhruvildave/to...
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