- Operating System :: Unix
- Topic :: Scientific/Engineering :: Chemistry
- Topic :: Scientific/Engineering :: Visualization
When you know about this project and you want to new install pdLSR to support your project or you get trouble as ModuleNotFoundError: No module named "pdLSR" or ImportError: cannot import name "pdLSR" in your project, let follow this tutorial to install pdLSR
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_pdLSR_env
- Active the virtual environment
test_pdLSR_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_pdLSR_env
- Active the virtual environment
source test_pdLSR_env/bin/active
To install pdLSR on Windows(CMD):
py -m pip install pdLSR
To install pdLSR on Unix/macOs:
pip install pdLSR
Example:
pip install pdLSR==0.2.5
Please see the version list below table:
Version | Released date | Command |
---|---|---|
pdLSR 0.3.6 | 2016-07-24T22:07:50 | Windows: Unix/macOs:
|
pdLSR 0.3.5 | 2016-07-24T22:05:49 | Windows: Unix/macOs:
|
pdLSR 0.3.3 | 2016-07-17T17:00:38 | Windows: Unix/macOs:
|
pdLSR 0.3.2 | 2016-07-17T16:53:20 | Windows: Unix/macOs:
|
pdLSR 0.3.1 | 2016-07-17T16:51:35 | Windows: Unix/macOs:
|
pdLSR 0.3 | 2016-07-17T16:39:28 | Windows: Unix/macOs:
|
pdLSR 0.2.7 | 2016-07-17T02:18:22 | Windows: Unix/macOs:
|
pdLSR 0.2.6 | 2016-07-17T01:54:43 | Windows: Unix/macOs:
|
pdLSR 0.2.5 | 2016-07-16T23:36:48 | Windows: Unix/macOs:
|
Download the distribution file from pdLSR-0.3.6.tar.gz or the specific pdLSR version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_pdLSR_downloaded_file>
On Unix/macOs:
pip install <path_to_pdLSR_downloaded_file>
List distribution:
Project link: