Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in Actions, to provide frequent, automated testing of your code. The conda package and environment manager is included in all versions of Anaconda®, Miniconda, and Anaconda Repository. Conda is also included

/opt/conda/etc/profile.d/conda.sh conda -V conda 4.5.11 Installing conda packages with the system package manager makes it very easy to distribute conda across a cluster of machines running Linux without having use this installation method in a read-only manner and upgrade conda using the respective package manager only. 4.1.3 Tasks Managing conda Verifying that conda is installed To verify that conda is installed have it yet, you can install it via conda (e.g. conda create -n jq jq) or via your system package manager. The command looks like this for Linux and macOS (replace MATCHSPECS_GO_HERE with the relevant packages

/opt/conda/etc/profile.d/conda.sh conda -V conda 4.5.11 Installing conda packages with the system package manager makes it very easy to distribute conda across a cluster of machines running Linux without having use this installation method in a read-only manner and upgrade conda using the respective package manager only. 4.1.3 Tasks Managing conda Verifying that conda is installed To verify that conda is installed have it yet, you can install it via conda (e.g. conda create -n jq jq) or via your system package manager. The command looks like this for Linux and macOS (replace MATCHSPECS_GO_HERE with the relevant packages

Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in Actions, to provide frequent, automated testing of your code. The conda package and environment manager is included in all versions of Anaconda®, Miniconda, and Anaconda Repository. Conda is also included

/opt/conda/etc/profile.d/conda.sh conda -V conda 4.5.11 Installing conda packages with the system package manager makes it very easy to distribute conda across a cluster of machines running Linux without having use this installation method in a read-only manner and upgrade conda using the respective package manager only. 4.1.3 Tasks Managing conda Verifying that conda is installed To verify that conda is installed have it yet, you can install it via conda (e.g. conda create -n jq jq) or via your system package manager. The command looks like this for Linux and macOS (replace MATCHSPECS_GO_HERE with the relevant packages

part begins with <, >, =, or !, it is parsed as a relational operator. Otherwise, it is parsed as a version, possibly containing the "*" operator. • The third part is always the exact build string. When Release 23.10.1.dev3 4.1.2 Getting started with conda Conda is a powerful package manager and environment manager that you use with command line commands at the Anaconda Prompt for Windows, or in a terminal have a system Python, another Python installation from a source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall,

part begins with <, >, =, or !, it is parsed as a relational operator. Otherwise, it is parsed as a version, possibly containing the "*" operator. • The third part is always the exact build string. When Release 23.11.1.dev1 4.1.2 Getting started with conda Conda is a powerful package manager and environment manager that you use with command line commands at the Anaconda Prompt for Windows, or in a terminal have a system Python, another Python installation from a source such as the macOS Homebrew package manager and globally installed packages from pip such as pandas and NumPy, you do not need to uninstall,

/opt/conda/etc/profile.d/conda.sh conda -V conda 4.5.11 Installing conda packages with the system package manager makes it very easy to distribute conda across a cluster of machines running Linux without having upgrade conda using the respective 20 Chapter 4. Contributors welcome conda, Release 24.7.1 package manager only. 4.1.3 Tasks Managing conda Verifying that conda is installed To verify that conda is installed Anaconda.org, you may be able to find and install the package via conda-forge or with another package manager like pip. Pip packages do not have all the features of conda packages and we recommend first trying

/opt/conda/etc/profile.d/conda.sh conda -V conda 4.5.11 Installing conda packages with the system package manager makes it very easy to distribute conda across a cluster of machines running Linux without having use this installation method in a read-only manner and upgrade conda using the respective package manager only. 20 Chapter 4. Contributors welcome conda, Release 24.3.1.dev2 4.1.3 Tasks Managing conda Anaconda.org, you may be able to find and install the package via conda-forge or with another package manager like pip. Pip packages do not have all the features of conda packages and we recommend first trying

/opt/conda/etc/profile.d/conda.sh conda -V conda 4.5.11 Installing conda packages with the system package manager makes it very easy to distribute conda across a cluster of machines running Linux without having use this installation method in a read-only manner and upgrade conda using the respective package manager only. 20 Chapter 4. Contributors welcome conda, Release 24.3.1.dev7 4.1.3 Tasks Managing conda Anaconda.org, you may be able to find and install the package via conda-forge or with another package manager like pip. Pip packages do not have all the features of conda packages and we recommend first trying