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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 ...
Launch applications and manage conda packages, environments, and channels without using command line interface (CLI) commands. Search for packages on Anaconda.org or in a local Anaconda Repository. Available for Windows, macOS, and Linux. Get advice from AI Assistant to help you along.
On Windows, macOS, and Linux, it is best to install Anaconda for the local user, which does not require administrator permissions and is the most robust type of installation. However, with administrator permissions, you can install Anaconda system wide. Installing on Windows. Installing on macOS.
More of a visual learner? Sign in to Anaconda Cloud to follow along with our Installing Anaconda (Windows) course linked below! Anaconda install for Windows. Installation# Download the Anaconda installer. (Optional) Anaconda recommends verifying the integrity of the installer after downloading it. How do I verify my installer’s integrity?
Many of the most commonly used open-source data science and machine learning packages are automatically installed when you download Anaconda Distribution, and thousands of others can be installed by simply typing conda install [package-name].
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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
Anaconda Assistant# Write and debug code, analyze data, and visualize results with Anaconda Assistant, available in cloud notebooks and local notebooks. Anaconda Learning# Master the foundations of data science through a full library of structured, on-demand courses.
Anaconda es una distribución libre y abierta [1] de los lenguajes Python y R, utilizada en ciencia de datos, y aprendizaje automático (machine learning). Esto incluye procesamiento de grandes volúmenes de información, análisis predictivo y cómputos científicos.
