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2.  Click on Get Additional Installers →
                      Windows. It displays the given screen:
                      In category: Windows → Python 3.8
                      → Select the right option according
                      to the configuration of your pc(32-
                      bit/64-bit). This will start the download
                      process on your computer. (Go to
                      Windows Start → Settings → system →
                      About to see the configuration of your
                      computer)

                  3.  Select Start → Search → type
                      anaconda. The given screen will be
                      displayed.























                         Understanding Jupyter Notebook


                 Jupyter Notebook is an open-source web-based application where a single document contains Python code,
                 output window, explanations, formulas, charts, etc. It is a very powerful tool popular with data scientists and AI
                 experts for data cleaning, statistical modeling, visualization, machine learning, deep learning etc. needed for
                 developing and presenting Artificial Intelligence models and projects.
                 The Jupyter Notebook is the next version of IPython Notebook, which was first published as a prototype in 2010.
                 It supports many programming languages like Python, R, Julia etc. You can also work in a Jupyter notebook in
                 online mode using colab.research.google.com.


                 Installing Jupyter Notebook
                 The Jupyter Notebook comes pre-installed in the Anaconda package. Therefore, the steps above that we followed
                 to install Anaconda on our computer has already installed Jupyter Notebook. Use a local host to access Jupyter
                 Notebook through the Anaconda Prompt. To work with it in a virtual environment we first have to install a
                 default kernel (IPython) that provides programming language support for Python in Jupyter.








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