Pandas Tutorial (Session 8) - Data Modifying Functions to update rows and columns in DataFrame

Hello Everyone in this video tutorial, we are going to learn how to get started with Pandas using Python.

In this video, we are going to learn how to update the rows and columns values in DataFrame using following functions:

1. apply()
2. applymap()
3. map()
4. replace()

Pandas is an open source Data Analysis Library for high performance Data manipulations and that allows us to easily load the data, read, analyze, and modify data using its powerful data structures like Data Frames and Series.
Pandas is used as a fundamental tool to learn in the data analysis in the field of Data Science, machine learning, AI and deep Learning.

So in this video we'll start with how to install Pandas, how to load data into a
Jupyter Notebook, and how to see basic information about the data we've loaded.


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