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  2. docs.anaconda.com › navigator › user-guideAnaconda Documentation

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  3. www.anaconda.com › anaconda-navigatorNavigator | Anaconda

    Anaconda Navigator lets you work with packages and environments without typing conda commands. It also includes access to Anaconda Cloud Notebooks, live and on-demand courses, and more data science tools.

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    • How Are We Going to Achieve That?
    • How to Install Anaconda Or Miniconda?
    • Checking and Switching The Conda Environments
    • Install Jupyter Notebook / Lab in The Base Environment
    • Installing Jupyter Notebook Extensions
    • Installing Pip Package Manager
    • Creating Environments in Conda and Jupyter Notebook
    • Start Jupyter Notebook and Check The Environments and Extensions
    • GeneratedCaptionsTabForHeroSec
    Install Anaconda or Miniconda
    Install Jupyter Notebook / Lab in the base environment
    Install a new environment
    Activate the environment for Jupyter Notebook

    Anaconda is a nice package containing a lot of Python packages already and allows for an easy start into the world of Python. Additionally, it allows creating environments in python, which contain different versions of your Python packages. E.g. if a program only runs with Python 2.7 or older versions of Matplotlib, you can create an own workspace ...

    If conda is installed correctly (might need a logout and login, or restart), you should be able to see the output when typingcondainto your terminal. To list the currently installed environments just typeconda env list It should currently just show the “base” environment installed. Switching between environments works as simply as typingconda activ...

    Jupyter Notebook can easily be installed using conda. Our plan is to only install it in the base environment, and then just switch between sub-environments to avoid setting up Jupyter Lab in each environment.

    I really like Jupyter Notebook extensions, which support a lot of autocompletion, additional information, and in general things that make your life easier. A good default setting is included with the following install command: A good overview over other extensions: https://towardsdatascience.com/jupyter-notebook-extensions-517fa69d2231

    In my opinion it is a good idea to add the pip package manager to the base (and each sub-) environment, as not all packages are supported by conda install. Also, if pip is not installed in each sub-environment the package might just be installed in the “base” conda environment, causing an error where the package is not found in your sub-environment...

    Let us say you want to install both Tensorflow 2.0 and Tensorflow 1.15 in Jupyter Notebook. For this example first, agree if you want to use the GPU or CPU version of Tensorflow. For using the GPU version add “-gpu” to TensorFlow, and otherwise, just leave it as is. To create a new conda environment we can run conda create --name tf-2.0 If you alre...

    Running Jupyter Notebook in the base environment should allow you to see a tab containing “Extensions”, as well as “conda”/“environments”. Head over to Extensions and activate whichever extensions you like, and if you are ready, create a new notebook using the “new” button. Here, you should be able to choose between your base, tf-2.0 and tf-1.15 en...

    Learn how to install Anaconda or Miniconda, Jupyter Notebook or Lab, and switch between conda environments and Tensorflow versions with a simple click. Follow the steps to create and activate environments, install extensions, and use pip packages in Jupyter Notebook.

  5. Anaconda Navigator is a desktop GUI that lets you manage conda packages, environments, and channels without CLI commands. You can also access Jupyter Notebook from the Navigator Home page to write and execute your code in a web browser.

  6. Learn how to use Jupyter Notebook application to create and edit documents that display Python or R language scripts. Find out how to open, create, and switch between notebooks in AEN projects.

  7. May 9, 2024 · Learn how to download, install, and run Anaconda distribution and Jupyter Notebook for Python and R programming languages. Follow the step-by-step instructions with screenshots and examples on Anaconda Navigator.

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