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1. #Reinstall anaconda mac how to
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3. #Reinstall anaconda mac full
4. #Reinstall anaconda mac software
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By default, the script will download the latest version of Miniconda.

#Reinstall anaconda mac how to

How to Install Miniconda on the Command Line 💡 # I personally keep my installation scripts in my dotfiles repo

⭐ Top tip: You can store your installation scripts in a public git repository which you can clone to your new machine.

#Reinstall anaconda mac software

Consistency – running the same script to install software on different computers will ensure you are running a consistent environment and help to avoid errors when installing the software.Seamlessly move across different machines – get up and running quickly when working on a new machine, such as spinning up a Cloud VM or a new company laptop, instead of manually trying to install software.Automation provides the following direct and indirect benefits: Installing Miniconda from the command line opens the door for automation.Īutomating the set-up of your development environment is a key part of becoming an effective programmer. It is always a good idea to be comfortable with multiple different package managers so you are flexible to your team’s or project requirements. , or if your team prefer using a specific package manager for consistency. For example, if your project requires a version of a Python library only available from conda-forge However, sometimes you do not have the luxury of choosing your preferred environment manager. It is lightweight, portable, simple to use and I also find pyenv has fewer ‘gotchas’ than conda. Personally, I prefer to use pyenvįor managing my python environments. There are alternative package managers for Python instead of Conda. I also believe it is better practice to make sure your environment is as ‘lean’ as possible, containing only the packages your project directly depends on. Given installing a library is only a ‘pip install’ away, it is easy to use Miniconda and only install libraries as and when you need them. Anaconda is very bloated and contains many libraries which you are unlikely to use, especially not in a single project. I would always recommend using Miniconda. Want fast access to Python and the conda commands and you wish to sort out the other programs later.Do not have time or disk space to install over 1,500 packages at once.Do not mind installing each of the packages you want to use individually.Wish to use a curated and vetted set of packages.Do not want to individually install each of the packages you want to use.Have the time and disk space – a few minutes and 3 GB.Like the convenience of having Python and over 1,500 scientific packages automatically installed at once.Provides the following helpful distinction: Which one should you choose? The Conda documentation In this post, I will demonstrate a useful short script for installing Miniconda directly from the command line on Linux and MacOS.įor the script 🚀 Miniconda vs Anaconda 🐍 #

#Reinstall anaconda mac full

Has two main distributions: Anaconda (a full distribution with all the libraries of the PyData ecosystem pre-installed) and a bootstrap version called Miniconda which includes the conda package manager and the libraries it depends on only. (' &' keeps Terminal usable while IDLE window is open.Conda is a very popular package manager for Python, particularly in the data science community.

This is how you launch IDLE for Anaconda Python: There is one caveat: in LING 1330/2330, we will be using the interpretive shell interface via IDLE rather than Jupyter Notebook you probably have been using.

#Reinstall anaconda mac update

That works too! Make sure to update it to the latest 3.X version. That way, you can make sure you are working in the exactly same setup with the rest of the class, which just might save you some headache stemming from a configuration unique to your machine. If you previously installed an earlier version of Python 3 (say, 3.5.1 or something), then you should either update it or simply un-install it and then install the newest version of Python 3. Already have Python 3 but older version.If you already have a working version of Python on your laptop, you might be wondering if it is OK to keep it or you should re-install. Go ahead and try it out! Video tutorial here.If everything goes fine, you should see an IDLE shortcut in your Launchpad. If you are unable to, see this FAQ for how to install Python on an older version of Mac OS. NOTE: If your Mac's OS version is older than 10.9 (year 2013), I recommend upgrading your OS first.This downloads the appropriate 64-bit version of the latest Python release (3.9.6 as of August 2021). Click "Downloads", then download the latest version from there: