# Anaconda

- [Getting started](https://hs764.gitbook.io/cee-5735/anaconda/installation.md): Anaconda is a Python distribution that includes many common packages for data science and a package management system (conda). Using Anaconda is convenient and recommended in this course.
- [Managing conda environments](https://hs764.gitbook.io/cee-5735/anaconda/managing-conda-environments.md): Conda is a package management system that helps install, update & delete packages in seperate environments.
- [Using Navigator](https://hs764.gitbook.io/cee-5735/anaconda/managing-conda-environments/using-navigator.md): Anaconda Navigator is a graphical user interface (included in your installation of Anaconda) that lets you to access applications and manage conda environments without using Terminal.
- [Using Terminal](https://hs764.gitbook.io/cee-5735/anaconda/managing-conda-environments/using-terminal.md): Alternatively, conda environments can managed using Terminal. In fact, everything on the GUI can be done with command lines. If you don't feel comfortable with this, you can use Anaconda Navigator.
- [Issues using zsh shell](https://hs764.gitbook.io/cee-5735/anaconda/managing-conda-environments/zsh.md): Anaconda is installed with bash, so you may run into problems using conda if your OS shell is zsh. Here are some solutions:
- [Jupyter Notebook](https://hs764.gitbook.io/cee-5735/anaconda/jupyter-notebook.md): Jupyter notebook is a web application for developing, documenting, & sharing code. It's become pretty popular among data scientists for visualizing & analyzing datasets, but there's some limitations.


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