Conda 24.5.x Documentationidentical conda environment on the same operating system platform, either on the same machine or on a different machine. Use the terminal for the following steps: 1. Run conda list --explicit to produce already in the spec. To use the spec file to create an identical environment on the same machine or another machine: conda create --name myenv --file spec-file.txt To use the spec file to install its listed minor release, use the conda install command instead: conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features0 码力 | 794 页 | 5.01 MB | 8 月前3
Conda 24.7.x Documentationidentical conda environment on the same operating system platform, either on the same machine or on a different machine. Use the terminal for the following steps: 1. Run conda list --explicit to produce already in the spec. To use the spec file to create an identical environment on the same machine or another machine: conda create --name myenv --file spec-file.txt To use the spec file to install its listed minor release, use the conda install command instead: conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features0 码力 | 808 页 | 4.97 MB | 8 月前3
Conda 24.3.x Documentationidentical conda environment on the same operating system platform, either on the same machine or on a different machine. Use the terminal for the following steps: 1. Run conda list --explicit to produce already in the spec. To use the spec file to create an identical environment on the same machine or another machine: conda create --name myenv --file spec-file.txt To use the spec file to install its listed minor release, use the conda install command instead: conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features0 码力 | 786 页 | 4.98 MB | 8 月前3
Conda 24.4.x Documentationidentical conda environment on the same operating system platform, either on the same machine or on a different machine. Use the terminal for the following steps: 1. Run conda list --explicit to produce already in the spec. To use the spec file to create an identical environment on the same machine or another machine: conda create --name myenv --file spec-file.txt To use the spec file to install its listed minor release, use the conda install command instead: conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features0 码力 | 786 页 | 4.99 MB | 8 月前3
Conda 24.1.x Documentationidentical conda environment on the same operating system platform, either on the same machine or on a different machine. Use the terminal for the following steps: 1. Run conda list --explicit to produce already in the spec. To use the spec file to create an identical environment on the same machine or another machine: conda create --name myenv --file spec-file.txt To use the spec file to install its listed minor release, use the conda install command instead: conda install python=3.10 Managing virtual packages "Virtual" packages are injected into the conda solver to allow real packages to depend on features0 码力 | 795 页 | 4.73 MB | 8 月前3
Conda 23.11.x Documentationconda environments usually contain the same subdirectories as the default environment. Virtual environments A virtual environment is a tool that helps to keep dependencies required by different projects contain per-project dependencies for them. Users can create virtual environments using one of several tools such as Pipenv or Poetry, or a conda virtual environ- ment. Pipenv and Poetry are based around Python's Python's built-in venv library, whereas conda has its own notion of virtual environments that is lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table0 码力 | 781 页 | 4.79 MB | 8 月前3
Conda 23.9.x Documentationconda environments usually contain the same subdirectories as the default environment. Virtual environments A virtual environment is a tool that helps to keep dependencies required by different projects contain per-project dependencies for them. Users can create virtual environments using one of several tools such as Pipenv or Poetry, or a conda virtual environ- ment. Pipenv and Poetry are based around Python's notion of virtual environments that is lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. Some other traits are: Python virtual environment0 码力 | 753 页 | 4.86 MB | 8 月前3
Conda 23.10.x Documentationconda environments usually contain the same subdirectories as the default environment. Virtual environments A virtual environment is a tool that helps to keep dependencies required by different projects contain per-project dependencies for them. Users can create virtual environments using one of several tools such as Pipenv or Poetry, or a conda virtual environ- ment. Pipenv and Poetry are based around Python's Python's built-in venv library, whereas conda has its own notion of virtual environments that is lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table0 码力 | 773 页 | 5.05 MB | 8 月前3
Conda 23.7.x Documentationconda environments usually contain the same subdirectories as the default environment. Virtual environments A virtual environment is a tool that helps to keep dependencies required by different projects contain per-project dependencies for them. Users can create virtual environments using one of several tools such as Pipenv or Poetry, or a conda virtual environ- ment. Pipenv and Poetry are based around Python's notion of virtual environments that is lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table below. Some other traits are: Python virtual environment0 码力 | 795 页 | 4.91 MB | 8 月前3
Conda 23.3.x Documentationconda environments usually contain the same subdirectories as the default environment. Virtual environments A virtual environment is a tool that helps to keep dependencies required by different projects contain per-project dependencies for them. Users can create virtual environments using one of several tools such as Pipenv or Poetry, or a conda virtual environ- ment. Pipenv and Poetry are based around Python's Python's built-in venv library, whereas conda has its own notion of virtual environments that is lower-level (Python itself is a dependency provided in conda environments). Scroll to the right in the table0 码力 | 370 页 | 2.94 MB | 8 月前3
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