It will install a package and its dependencies regardless of the existing installation state. When pip downloaded a package before the 20.3 version, it automatically installed a dependent Python package without inspecting if these clashed with installed packages. The huge difference between the pip package manager and conda is how the dependencies of the package are handled which is an important challenge for Python data science and the cause conda exists. Also, it contains GUI-based Anaconda Navigator as an alternative to the CLI. Overview of AnacondaĪnaconda distribution provides 250+ packages installed automatically, 7500+ extra open-source packages could be installed from PyPI, virtual environment, and conda package manager. Also, there is a small bootstrap release of Anaconda which is called Miniconda which contains only the packages, python, conda, and some other packages they rely on. The package manager was meshed out as an isolated open-source package because it ended up being helpful on its own. In Anaconda, package versions are handled by the conda which is the package management system.

Also, it is called Anaconda Individual Edition or Anaconda Distribution as a product of Anaconda Inc., while other products through the company are Anaconda Enterprise Edition and Anaconda Team Edition. It is maintained and developed by Anaconda Inc., which was detected by Travis Oliphant and Peter Wang in 2012. The distribution contains several packages of data science compatible with macOS, Linux, and Windows.

Next → ← prev Anaconda for Ubuntu Introduction to AnacondaĪnaconda is a distribution of the R and Python programming languages for scientific computing (predictive analytics, large-scale data processing, machine learning applications, data science, etc.) that aims for simplifying package deployment and management.

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