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Installing Anaconda Distribution Miniconda is a free, miniature installation of Anaconda Distribution that includes only conda, Python, the packages they both depend on, and a small number of other useful packages
Downloads - Anaconda Download Anaconda Distribution Version | Release Date:Download For: High-Performance Distribution Easily install 1,000+ data science packages Package Management Manage packages
Anaconda Distribution - Anaconda The Most Trusted Distribution for Data Science Anaconda® Distribution is a 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
Navigator | Anaconda Anaconda Navigator is a desktop GUI included in Anaconda Distribution 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
Getting started with Anaconda In the Get Started with Anaconda entry-level course, you’ll learn about packages, conda environments, Jupyter Notebooks, and more We’ll also guide you through initiating a Python program (in both a notebook and several popular IDEs) and show you what happens when a bug is identified in Python code
Installing pip packages - Anaconda Pip is the Python Packaging Authority’s recommended tool for installing packages from the Python Package Index, PyPI Conda, on the other hand, is a cross-platform package and environment manager that installs and manages packages from the Anaconda public repository as well as from Anaconda org Other key differences between conda and pip
Anaconda vs. Python: What’s the Difference? Anaconda is the leading data science platform and an open-source distribution of Python and R The key distinction is that Python is a programming language, while Anaconda is a distribution of Python tailored for data science Here’s a quick overview of the differences:
Channels - Anaconda Viewing your channels To see which channels conda is currently configured to use, open Anaconda Prompt (Terminal on macOS Linux) and run the following command:
Advance AI with Open Source | Anaconda Anaconda’s unified approach frees you from silos, dependency blindspots, hyperscaler lock-in, debilitating vulnerabilities, lengthy development cycles, and failed pilots
Anaconda | Open Source 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]