Install Anaconda and Jupyter Notebook. Open the Terminal by clicking on the Spotlight magnifying glass at the top right of the screen, typing “Terminal” then clicking the Terminal icon. Type the commands in red to go to the Downloads directory and download Anaconda3 2020.07. Anaconda may take a few minutes to download.
Anaconda is one of the most innovative machine learning and Python data science tools. It comes with other tools embedded like Spyder, Jupyter Notebook, RStudio amongst other.In this article, we provide the steps involved in installing the Anaconda Distribution of Python on your Mac OS computer. While many versions of Mac OS comes with inbuilt legacy Python, the Anaconda distribution of Python comes with more flexibility and permissions. Asides from that, you can also installed other packages using Anaconda.The following steps would help you from downloading to the complete installation of Anaconda on your Mac OS machine.- The Mac OS X Anaconda installation comes only in one form: 64-bit. Before you can perform the install, you must download a copy of the Mac software from the Continuum Analytics site. The following steps help you install Anaconda 64-bit on a Mac system.
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Step 1: Open the link to the anaconda downloads page: anaconda.com/downloads.
With over 20 million users worldwide, the open-source Individual Edition (Distribution) is the easiest way to perform Python/R data science and machine learning on a single machine. Developed for solo practitioners, it is the toolkit that equips you to work with thousands of open-source packages and libraries.
?Open SourceAnaconda Individual Edition is the world’s most popular Python distribution platform with over 20 million users worldwide. You can trust in our long-term commitment to supporting the Anaconda open-source ecosystem, the platform of choice for Python data science.
?Conda PackagesSearch our cloud-based repository to find and install over 7,500 data science and machine learning packages. With the conda-install command, you can start using thousands of open-source Conda, R, Python and many other packages.
?Manage EnvironmentsIndividual Edition is an open source, flexible solution that provides the utilities to build, distribute, install, update, and manage software in a cross-platform manner. Conda makes it easy to manage multiple data environments that can be maintained and run separately without interference from each other.
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Build and train machine learning models using the best Python packages built by the open-source community, including scikit-learn, TensorFlow, and PyTorch.
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With Anaconda Individual Edition, the open-source world is your oyster. From robotics to data visualization, you can access the open-source software you need for projects in any field.
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User interface makes learning easier
Anaconda Navigator is a desktop GUI that comes with Anaconda Individual Edition. It makes it easy to launch applications and manage packages and environments without using command-line commands.
Expedite your data science journey with easy access to training materials, documentation, and community resources including Anaconda.org.
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What is Anaconda used for?
Anaconda MovementPyViz Data VisualizationScalable Machine LearningGetting started with Anaconda
Expedite your data science journey with easy access to training materials, documentation, and community resources including Anaconda Cloud.
Documentation
Review documentation for Anaconda Individual Edition.Starter Video
Watch a short video to get started using Individual Edition.Support
Have a question or need to submit a pull request? Visit our Github page.Anaconda Download Mac Os 10.10
Anaconda Installers
Windows
Python 3.8
64-Bit Graphical Installer (466 MB)32-Bit Graphical Installer (397 MB)MacOS
Python 3.8
64-Bit Graphical Installer (462 MB)64-Bit Command Line Installer (454 MB)Linux
Python 3.8
64-Bit (x86) Installer (550 MB)64-Bit (Power8 and Power9) Installer (290 MB)Additional Installers
Anaconda Download Mac Os
The archive has older versions of Anaconda Individual Edition installers. The Miniconda installer homepage can be found here.