Conda 23.7.x Documentation
conda 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 | 7 月前3Conda 23.9.x Documentation
conda 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 | 7 月前3Conda 24.5.x Documentation
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 features the system that cannot be managed directly by conda, like system driver versions or CPU features. Virtual packages are not real packages and not displayed by conda list. Instead conda runs a small bit of or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: Maximum version of CUDA supported by the display driver. • __osx:0 码力 | 794 页 | 5.01 MB | 7 月前3Conda 24.7.x Documentation
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 features the system that cannot be managed directly by conda, like system driver versions or CPU features. Virtual packages are not real packages and not displayed by conda list. Instead conda runs a small bit of or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: Maximum version of CUDA supported by the display driver. • __osx:0 码力 | 808 页 | 4.97 MB | 7 月前3Conda 24.3.x Documentation
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 features the system that cannot be managed directly by conda, like system driver versions or CPU features. Virtual packages are not real packages and not displayed by conda list. Instead conda runs a small bit of or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: Maximum version of CUDA supported by the display driver. • __osx:0 码力 | 786 页 | 4.98 MB | 7 月前3Conda 24.4.x Documentation
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 features the system that cannot be managed directly by conda, like system driver versions or CPU features. Virtual packages are not real packages and not displayed by conda list. Instead conda runs a small bit of or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: Maximum version of CUDA supported by the display driver. • __osx:0 码力 | 786 页 | 4.99 MB | 7 月前3Conda 23.10.x Documentation
conda 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 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 table below. 26 Chapter 4. Contributors0 码力 | 773 页 | 5.05 MB | 7 月前3Conda 24.1.x Documentation
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 features the system that cannot be managed directly by conda, like system driver versions or CPU features. Virtual packages are not real packages and not displayed by conda list. Instead conda runs a small bit of or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: Maximum version of CUDA supported by the display driver. • __osx:0 码力 | 795 页 | 4.73 MB | 7 月前3Conda 23.11.x Documentation
conda 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 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 table below. 26 Chapter 4. Contributors0 码力 | 781 页 | 4.79 MB | 7 月前3Conda 25.1.x Documentation
operations. Common problems with mismatched OSes include: • The environment cannot be solved because virtual packages are missing. You can workaround this issue by exporting the necessary CONDA_OVERRIDE_**** 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 features the system that cannot be managed directly by conda, like system driver versions or CPU features. Virtual packages are not real packages and not displayed by conda list. Instead conda runs a small bit of0 码力 | 822 页 | 5.20 MB | 7 月前3
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