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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. The distribution includes data-science packages suitable for Windows, Linux, and macOS.
conda create -n myenvironment python numpy pandas. For more information on working with environments, see Managing environments. Listing environments # To see a list of all your environments: conda info --envs. A list of environments appears, similar to the following:
Anaconda Documentation
Anaconda® Distribution is a Python/R data science distribution containing conda. Conda is an environment and package manager that helps users manage the other 7,500+ open-source packages made available to them through the distribution. Navigator#
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. Tip. If you are unsure which option to download, choose the most recent version of Anaconda3.
Anaconda Distribution for Python Download for free—the world’s most popular Python/R distribution; Anaconda Navigator Launch data science applications from your desktop; Anaconda Cloud Suite Build and deploy AI and data science applications; Anaconda Notebooks Start coding immediately; Anaconda Toolbox for Excel Enhance Python in Excel
How to install Anaconda. At least 5 common Python packages and their uses. Useful libraries for data science and machine learning. How to open and work with a Jupyter notebook or IDE. Questions? Issues? Join our Community page to get help. Take your first steps using Anaconda Distribution, working with conda, and writing your first Python program.
