Python packages installed by the python setup.py install command Ĭustom Python packages, that actually do not need to be installed but only copied in the DSS Python libraries folder. The additional Python packages installed by DATA_DIR/bin/pip or added to DATA_DIR/lib/python are preserved by DSS upgrades. ![]() We upgrade these dependencies of DSS when releasing a new version, after they are properly qualified and we made sure everything works together. Notably, you must not change the version of the pandas, numpy and scikit-learn packages in the built-in environment. Modifying the version of these packages is not supported and may result in causing DSS to stop functioning. If you require another version of Python, please use a code environment.Ī number of packages are preinstalled in the built-in environment. pip allows you to specify which version of a package to install using version specifiers. The built-in Python environment uses Python 2.7, 3.6 or 3.7, as chosen at installation time. Importantly, this implies that in order to install packages in the built-in environment, you must NOT use the pip or python commands of your system, but use the pip or python commands of the DSS virtualenv. If the setup.py file is not present, pip will try to install the package as a. When you use this command, pip will look for a setup.py file in the specified directory and use it to install the package. The built-in Python environment uses the Python virtualenv mechanism. If we want multiple packages to get installed having a specific version, we can even do that with the help of a text file. Alternatively, you can specify the path to the package using an absolute path. Please pay attention to the following notes:
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |