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anaconda

It is highly recommended that beginners should use Anaconda to install Pandas on their system. Installing Anaconda is not only very easy, but it also gives you access to various other tools.

Step 1:

Head over to https://www.anaconda.com, Once you are there, click on the Download button on the top right corner of the screen.

pandas installation using anacondasStep 2:

In the downloads page, scroll down until you see the download options for windows. Click on the download button for python 3.7. This will initiate a download for the anaconda installer.

pandas installation using anaconda 2

Step 3:

Follow through the instructions for installing as shown in the next few images. Choose any destination folder according to your liking and uncheck “Add anaconda to my PATH environment variable.”

Add anacoda to PATH environment variable

Anacoda License Agreement

Choose Installation Location
Advanced Installation Options
Installing Pandas
Pandas Installation process complete

Step 4:

Once the installation is finished you can have access to Pandas on your system. Anaconda installs all important libraries for you.

Thanks for Installing Pandas

Step 5:

Jupyter Notebook(Optional): Most Machine Learning projects are covered in jupyter notebooks, therefore, it is important to know how to use it.

First, go to to your program files in the start menu and find “Anaconda Navigator”. Once you enter the program, you will be greeted with a similar screen as shown below. Launch Jupyter Notebooks.

Python anaconda pandas installation

Step 6:

Once you click on Launch for Jupyter Notebook, it will automatically open a browser window and will show the following page. Click on new and then on “Python 3

python anaconda 6

Jupyter Notebook Interface

Step 7:

Once you choose “python 3”, it will take you to a new tab, where you can start coding at once.

python pandas installation using anaconda

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Submitted by shiksha.dahiya on February 10, 2021

Shiksha is working as a Data Scientist at iVagus. She has expertise in Data Science and Machine Learning.

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