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We can install new packages directly in the python3 file by using the pip command.

Open the new python3 file to execute python programs.

To create a new python3 file go to the right side of navigation and find a new button and click on it.

There we can create a folder for us, and we can work on our project.

Thus, you can redirect to jupyter notebook home page.

The link looks like localhost:8888/?token or 127.0.0.1:8888/?token and pastes on the search bar of any browser.

If jupyter notebook does not open automatically copies the link which is displaying on the screen.

The above command will open the jupyter notebook.

After installing required libraries and packages type the command jupyter notebook.

Some packages wonвЂ™t install using the pip command.

To install the above-mentioned packages use the command pip install package_name.

Now we can install our required packages like pandas, numpy, matplotlib, sklearn, scikit-learn, seaborn, etc.

Now we can install jupyter notebook in the environment using the command pip install jupyter.

After executing the above command we will be in the environment.

To install jupyter notebook in the environment we need to execute the command conda install jupyter notebook.

To activate the environment execute conda activate environment_name.

With this command, we can create a coding environment for us.

After opening anaconda command prompt type conda create -n environment_name.

After finishing installation go to start and find the anaconda prompt.

Setup anaconda coding environment with jupyter notebook:

Follow the installation steps to install anaconda.

After clicking on the installer the browser automatically downloads the installer.

Find the latest installer and click on that installer.

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