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Download Anaconda Distribution Version | Release Date:Download For: High-Performance Distribution Easily install 1,000+ data science packages Package Management Manage packages ...
Choose whether to add Anaconda to your PATH environment variable or register Anaconda as your default Python. We don’t recommend adding Anaconda to your PATH environment variable, since this can interfere with other software.
Anaconda® Distribution is a free Python/R data science distribution that contains: conda - a package and environment manager for your command line interface. Anaconda Navigator - a desktop application built on conda, with options to launch other development applications from your managed environments.
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Learn to use Anaconda Navigator to launch an application. Then, create and run a simple Python program with Spyder and Jupyter Notebook. Watch our short training videos on Anaconda Learning to get up and running with Jupyter Notebook and JupyterLab, along with several other popular integrated development environments (IDEs): Anaconda Learning
This guide to getting started with conda goes over the basics of starting up and using conda to create environments and install packages. Tip. Anaconda Navigator is a graphical desktop application that enables you to use conda without having to run commands at the command line.
Download Anaconda---free. Download Miniconda---free. Purchase Anaconda Enterprise. You can download any of these 3 options with legacy Python 2.7 or current Python 3. You can also choose a version with a GUI or a command line installer.
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Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment.
Contents. Starting conda on Windows, macOS, or Linux. 2 MINUTES. Managing conda. Verify that Anaconda is installed and check that conda is updated to the current version. 3 MINUTES. Managing environments. Create environments and move easily between them. 5 MINUTES. Managing Python.
