Anaconda simplifies the process of setting up and managing data science environments by providing pre-built packages and environments that are optimized for data analysis and machine learning workflows.
Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text.
The relationship between Jupyter Notebook and Anaconda is that Anaconda includes Jupyter Notebook as one of its pre-installed applications. When you install Anaconda, you automatically get access to Jupyter Notebook along with a wide range of other data science tools and packages. This makes it easy for users to start using Jupyter Notebook for their data analysis and machine learning projects without having to separately install it or manage dependencies. Additionally, Anaconda provides integration with Jupyter Notebook through Anaconda Navigator, allowing users to launch Jupyter Notebook directly from the Navigator interface.
To install Jupyter Notebook using Anaconda on Windows, follow these steps:
That's it! Anaconda is now installed on your Windows system, and you can start using it for data science and Python development.
Installing Anaconda on macOS is quite similar to the process on Windows. Here's how you can do it:
That's it! Anaconda is now installed on your macOS system, and you can start using it for data science and Python development.