OSX set up Python (Anaconda): Difference between revisions

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We're going to be installing Python using a collection of software that includes Python that, as a collection, is called '''Anaconda'''. Anaconda includes the Python programming language and a bunch of different pieces of software that are useful for data science and analysis. Although the collection includes all free software, it is put together by a commercial company called '''Continuum Analytics'''.
We're going to be installing Python using a collection of software that includes Python that, as a collection, is called '''Anaconda'''. Anaconda includes the Python programming language and a bunch of different pieces of software that are useful for data science and analysis. Although the collection includes all free software, it is put together by a commercial company called '''Continuum Analytics'''.
'''Note:''' Even if you already have a version of Python on your computer, we suggest you follow these instructions and download Anaconda. This will help ensure that you can follow along during our in-class activities, and will make it easier for mentors to help you if you get stuck on something.
=== Installation option #1 ===


<font size="+1">Try to download and install Anaconda from [https://communitydata.science/~mako/Anaconda3-2019.10-MacOSX-x86_64.pkg this file which contains Python 3.7 for OSX].</font>
<font size="+1">Try to download and install Anaconda from [https://communitydata.science/~mako/Anaconda3-2019.10-MacOSX-x86_64.pkg this file which contains Python 3.7 for OSX].</font>


If that doesn't work for any reason, download and install the Python 3.7 option from [https://www.anaconda.com/distribution/#download-section Anaconda's website], on the right. If necessary, scroll down to the "Anaconda 2019.10 for macOS Installer" section.  
=== Installation option #2 ===
If option 1 above doesn't work for any reason, download and install the Python 3.7 option from [https://www.anaconda.com/distribution/#download-section Anaconda's website], on the right. If necessary, scroll down to the "Anaconda 2019.10 for macOS Installer" section.  


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Revision as of 00:41, 15 January 2020

Download and install Python

We're going to be installing Python using a collection of software that includes Python that, as a collection, is called Anaconda. Anaconda includes the Python programming language and a bunch of different pieces of software that are useful for data science and analysis. Although the collection includes all free software, it is put together by a commercial company called Continuum Analytics.

Note: Even if you already have a version of Python on your computer, we suggest you follow these instructions and download Anaconda. This will help ensure that you can follow along during our in-class activities, and will make it easier for mentors to help you if you get stuck on something.

Installation option #1

Try to download and install Anaconda from this file which contains Python 3.7 for OSX.

Installation option #2

If option 1 above doesn't work for any reason, download and install the Python 3.7 option from Anaconda's website, on the right. If necessary, scroll down to the "Anaconda 2019.10 for macOS Installer" section.

Install notes

  • If you get stuck during the install process, ask a neighbor or raise your hand for help. These instructions may also be helpful.
  • At the end of the installer, you may be prompted if you'd like to send the installation package to the trash. Doing so won't damage the installation and will free up ~600MB of disk space on your computer.
Prompt from Package Installer asking if it is OK to trash the installation package.

Test your Python install

To use Anaconda on MacOS, you will primarily use the Anaconda Navigator. This software helps manage multiple versions of Anaconda, as well as helps make it easy to launch Jupyter.

The easiest way to launch the Anaconda Navigator is from inside the Applications folder:

The navigator will start up and greet you with a list of installed and available tools:

rest [To Be Decided]

Success!

You have tested your Python installation.