Before Pip 20.3, Pip installed all Python package dependencies required, whether or not those conflict with other packages previously installed. The big difference between conda and the pip package manager is in how package dependencies are managed, which is a significant challenge for Python data science and the reason conda was created.
While similar Python-based cross-platform package managers (such as wheel or pip) cannot.
#Anaconda or miniconda code
Conda is written in the Python programming language, but can manage projects containing code written in any language (e.g., R), including multi-language projects.
#Anaconda or miniconda install
Also, it allows users to switch between package versions and download and install updates from a software repository. Ĭonda allows users to easily install different versions of binary software packages and any required libraries appropriate for their computing platform. The conda package and environment manager is included in all versions of Anaconda, Miniconda, and Anaconda Repository. Īt first part of Anaconda Python distribution developed by Anaconda Inc., it ended up being useful on its own and for things other than Python, so it was spun out as a separate package, released under the BSD license. It was originally developed to solve difficult package management challenges faced by Python data scientists, and today is a popular package manager for Python and R. Conda is an open-source, cross-platform, language-agnostic package manager and environment management system.
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