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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.
User guide. Getting... Getting started with conda # Conda is a powerful command line tool for package and environment management that runs on Windows, macOS, and Linux. This guide to getting started with conda goes over the basics of starting up and using conda to create environments and install packages. Tip.
Managing Python. Create an environment that has a different version of Python. 5 MINUTES. Managing packages. Find packages available for you to install. Install packages. 5 MINUTES. TOTAL TIME: 20 MINUTES. Starting conda. Windows. From the Start menu, search for and open "Anaconda Prompt."
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.
By the end of this course, you’ll understand: How different parts of the technology stack work together. Basic data science concepts and tools. How to install Anaconda. At least 5 common Python packages and their uses. Useful libraries for data science and machine learning.
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. 250 automatically-installed packages that ...
