- Topic :: Scientific/Engineering :: Bio-Informatics
When you know about this project and you want to new install sbml_generalization to support your project or you get trouble as ModuleNotFoundError: No module named "sbml_generalization" or ImportError: cannot import name "sbml_generalization" in your project, let follow this tutorial to install sbml_generalization
In Windows (CMD):
py -m pip --version
In Unix/macOS:
python3 -m pip --version
Ensure pip, setuptools, and wheel are up to date:
In Windows (CMD):
py -m pip install --upgrade pip setuptools wheel
In Unix/macOS:
python3 -m pip install --upgrade pip setuptools wheel
Optional - If you want to install
In Windows (CMD):
- Install virtualenv - if you installed it, please ignore
py -m pip install --user virtualenv
- Create a virtual environment
py -m venv test_sbml_generalization_env
- Active the virtual environment
test_sbml_generalization_env\Scripts\active
In Unix/macOS:
- Install virtualenv - if you installed it, please ignore
pip3 install virtualenv
- Create a virtual environment
python3 -m venv test_sbml_generalization_env
- Active the virtual environment
source test_sbml_generalization_env/bin/active
To install sbml_generalization on Windows(CMD):
py -m pip install sbml_generalization
To install sbml_generalization on Unix/macOs:
pip install sbml_generalization
Example:
pip install sbml_generalization==0.1
Please see the version list below table:
Version | Released date | Command |
---|---|---|
sbml_generalization 0.1.1 | 2017-03-31T08:57:47 | Windows: Unix/macOs:
|
sbml_generalization 0.1 | 2017-03-30T16:07:18 | Windows: Unix/macOs:
|
Download the distribution file from sbml_generalization-0.1.1.tar.gz or the specific sbml_generalization version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_sbml_generalization_downloaded_file>
On Unix/macOs:
pip install <path_to_sbml_generalization_downloaded_file>
List distribution:
Project link: