![]() Overview Īnaconda distribution comes with over 250 packages automatically installed, and over 7,500 additional open-source packages can be installed from PyPI as well as the conda package and virtual environment manager. There is also a small, bootstrap version of Anaconda called Miniconda, which includes only conda, Python, the packages they depend on, and a small number of other packages. ![]() ![]() This package manager was spun out as a separate open-source package as it ended up being useful on its own and for things other than Python. Package versions in Anaconda are managed by the package management system conda. product, it is also known as Anaconda Distribution or Anaconda Individual Edition, while other products from the company are Anaconda Team Edition and Anaconda Enterprise Edition, neither of which are free. It is developed and maintained by Anaconda, Inc., which was founded by Peter Wang and Travis Oliphant in 2012. The distribution includes data-science packages suitable for Windows, Linux, and macOS. Once downloaded, we open a terminal, go to the corresponding directory and execute the installation attempt with the corresponding version.Programming language, machine learning, data scienceįreemium (Miniconda and the Individual Edition are free software, but the other editions are software as a service) Īnaconda 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. Installing Anaconda Distribution is pretty easy, just go to the Anaconda Distribution download section and download the version you want (Python 3.6 or Python 2.7). Quickly simplify the implementation of data science projects.Projects are portable, allowing you to share projects with others and run projects on different platforms.It has support for high-performance computing.It facilitates the writing of complex parallel algorithms for the execution of tasks.Allows you to compile Python into machine code for fast execution.It is equipped with tools that allow you to create and share documents containing code with live compilation, equations, descriptions and annotations.Eliminate package dependency and version control issues.Provides the ability to access more advanced learning resources.You can advanced data science related packages with Python from the terminal.Anaconda Navigator is a fairly simple GUI graphical user interface but with enormous potential. ![]()
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