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.
Anaconda For Python 3.7 Windows
The easy way to get up and running with Spyder on any of our supported platforms is to download it as part of the Anaconda distribution, and use the conda package and environment manager to keep it and your other packages installed and up to date. We recommend the latest 64-bit Python 3 version, unless you have specific requirements that dictate otherwise. For Anaconda, substitute Anaconda for Miniconda in all of the commands. To run the silent installation of Miniconda for macOS or Linux, specify the -b and -p arguments of the bash installer. The following arguments are supported. Nov 29, 2016 The latest version of Anaconda-Navigator is 1.3 on Mac Informer. It is a perfect match for the Productivity category. The app is developed by Continuum Analytics, Inc. Anaconda Distribution is a free, easy-to-install package manager, environment manager and Python distribution with a collection of 1,000+ open source packages with free community support.Anaconda is platform-agnostic, so you can use it whether you are on Windows, macOS or Linux.
?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.
Build machine learning models
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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The open-source community at your fingertips
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.
Open Source
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.
Install Anaconda
Anaconda for the enterprise
With Anaconda's Team and Enterprise Editions, our stack can handle the most advanced enterprise data science requirements.
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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 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
The archive has older versions of Anaconda Individual Edition installers. The Miniconda installer homepage can be found here.