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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 ...
- Installing on Windows
Choose whether to add Anaconda to your PATH environment...
- Anaconda Individual Edition
Anaconda® Distribution is a free Python/R data science...
- Installation
The official Anaconda and Miniconda Docker images are on...
- Installing on Windows
conda install anaconda::python. Description. Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java.
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.
The official Anaconda and Miniconda Docker images are on Docker Hub. If you have a CDH (Cloudera Distributed Hadoop) cluster, install the Anaconda parcel using Cloudera Manager. The Anaconda parcel provides a static installation of Anaconda, based on Python 2.7, that can be used with Python and PySpark jobs on the cluster. Troubleshooting
Anaconda.org allows anyone to distribute their conda and standard Python packages to the world. We support package builders and their users: Individuals and organizations can manage and distribute software. Easy search and installation of packages from conda-forge , Bioconda, PyTorch, and more. Over 120 million packages requests every day.
Learn how to use conda, a package and environment manager for Python, with this 20-minute guide. Create and manage environments, install packages, and switch Python versions with conda commands.
