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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.


                       What is a Virtual Environment?


              A virtual environment is an important tool that helps you create a unique, isolated environment for each project
              in Python. This means each environment will have its own set of activities, software settings, and packages,
              including different Python versions. This is useful if you need different versions of Python or packages for
              different projects. For example, if a Python developer is using version 2.7 for one project and version 3.4 for
              another project the virtual environment is very useful in providing separate environments.

              Creating a Virtual Environment


              The steps for creating a virtual environment using Anaconda distribution are given below:
               Step 1   Type Anaconda Prompt in the Search box beside the Start button.

               Step 2   Click on Anaconda Prompt option.

























                          This will open a window with default (base) written to show that it is the default environment in which
                        the anaconda works.
                          We can create our own virtual environment to work in our own projects without affecting the base
                        virtual environment.

                        Let us create our own virtual environment by giving the following command at the prompt sign:
                        conda create -n myenvion Python=3.12.7













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