The recommended approach is to not check the box to add Anaconda to your path. This is an important part of the installation process. Note your installation location and then click Next.Ħ. Read the license agreement and click on I Agree.ĥ. When the screen below appears, click on Next.ģ. Locate your download and double click it. If you aren't sure which Python version you want to install, choose Python 3. Go to the Anaconda Website and choose a Python 3.x graphical installer (A) or a Python 2.x graphical installer (B). With that, let's get started! Download and Install Anacondaġ.
#Anaconda prompt install how to#
How to test your installation and fix common installation issues In fact, an installation of Anaconda is also the recommended way to install Jupyter Notebooks which you can learn more about here on the DataCamp community. Conda even makes it easy to switch between Python 2 and 3 (you can learn more here).
This is highly advantageous as you don't have to manage dependencies between multiple packages yourself. If you need additional packages after installing Anaconda, you can use Anaconda's package manager, conda, or pip to install those packages. This is advantageous as when you are working on a data science project, you will find that you need many different packages (numpy, scikit-learn, scipy, pandas to name a few), which an installation of Anaconda comes preinstalled with. Anaconda is a package manager, an environment manager, and Python distribution that contains a collection of many open source packages.
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