WEBVTT

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Welcome back.

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Now let's learn about pandas.

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Pandas is a powerful python library for working with tabular data like Excel sheet or CSV files.

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It lets you load data from files, clean and filter data, compute statistics, prepare data for visualization

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and other features.

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Now, in order to install it, we can write a new code here.

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Use pip install pandas and run the cell.

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What is pip and why we are installing it?

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Pip is a special command used in Google Colab and other Jupyter notebook environments, or PyCharm to

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install Python packages directly from within a notebook cell.

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The exclamation mark tells Colab to run the following command as a shell command.

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Instead of the Python code.

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It allows you to execute terminal or command line commands directly from notebook cells.

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Pip is the Python package installer.

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It downloads and installs packages from the Python package index pip pip.

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Okay, so in order to install any library, we're going to use pip, this exclamation mark and pip.

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If you are running applications and creating applications using Ides on your PC, there's no need to

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use this exclamation mark.

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Only use pip, which is the Python package installer.

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Okay, go and install pandas library.

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And if you notice that requirement already satisfied because as I told you, Google Colab provide you

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with some important libraries and install them directly and they are pre-installed on every with every

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notebook you create.

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Okay, so I installed pandas like this in case you have any problem or if you are running your code

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on Ides, the next step is to import pandas as PD.

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Run this cell, import pandas as pd, import pandas and give it a short name pd.

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So when I need to use the pandas library, I use PD.

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Now because it's short name becomes pd.

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This is how we import and install pandas library.