We noted that Anaconda adds initialization code into the.We checked which version of Python we are running.We have created some code using the Jupyter Notebook. Anaconda is a free, easy-to-install package manager, environment manager, and Python distribution.We have opened the Anaconda Navigator which contains useful tools, such as code editors.We have noted that Anaconda installs itself into a folder called "opt" in your home folder.We installed Python through the Anaconda installer on macOS.# <<< conda initialize <<< Code language: PHP ( php ) "/Users/chstrong/opt/anaconda3/etc/profile.d/conda.sh" elseĮxport PATH= "/Users/chstrong/opt/anaconda3/bin:$PATH" _conda_setup= "$('/Users/chstrong/opt/anaconda3/bin/conda' 'shell.bash' 'hook' 2> /dev/null)" if thenĮval "$_conda_setup" else if then # > conda initialize > # !! Contents within this block are managed by 'conda init' !! Of course, you don't have to use Anaconda, you can also install all the packages through pip, if you prefer that, and are an advanced user. It's a great tool for classrooms that teach data science as all the permissions and command-line utilities will be set up in the same way, regardless of the operating system. Apart from that, it comes with different editors and other tools, used for data science.Īnaconda comes with its own python distribution, and a package manager called "conda" which has similar features to pip.Īnaconda is useful to manage different Python environments, which means you can have projects with Python 2 and 3 installed alongside each other and can switch between them. It is free for individual users and comes with around 7500 data science and machine learning packages. So easy! ()Īnaconda is very easy to install and will work the same way on all operating systems. Video can't be loaded because JavaScript is disabled: How to install Python through Anaconda on macOS in 2021.
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