- Intended Audience :: Education
- Intended Audience :: Science/Research
- License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
- Operating System :: OS Independent
- Topic :: Scientific/Engineering
- Topic :: Software Development
- Topic :: Software Development :: Libraries
- Topic :: Software Development :: Libraries :: Python Modules
- Topic :: Utilities
When you know about this project and you want to new install time-series-buffer to support your project or you get trouble as ModuleNotFoundError: No module named "time-series-buffer" or ImportError: cannot import name "time-series-buffer" in your project, let follow this tutorial to install time-series-buffer
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_time-series-buffer_env
- Active the virtual environment
test_time-series-buffer_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_time-series-buffer_env
- Active the virtual environment
source test_time-series-buffer_env/bin/active
To install time-series-buffer on Windows(CMD):
py -m pip install time-series-buffer
To install time-series-buffer on Unix/macOs:
pip install time-series-buffer
Example:
pip install time-series-buffer==0.1.0b1 pre-release
Please see the version list below table:
Version | Released date | Command |
---|
Download the distribution file from time_series_buffer-0.1.4b0.tar.gz or the specific time-series-buffer version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_time-series-buffer_downloaded_file>
On Unix/macOs:
pip install <path_to_time-series-buffer_downloaded_file>
List distribution:
Project link:
- Homepage