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How to install torch-airflow via python pip




torch-airflow - test pkg, it belongs to Classifiers:

- Intended Audience :: Education
- Operating System :: Microsoft :: Windows :: Windows 10

When you know about this project and you want to new install torch-airflow to support your project or you get trouble as ModuleNotFoundError: No module named "torch-airflow" or ImportError: cannot import name "torch-airflow" in your project, let follow this tutorial to install torch-airflow



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

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 virtual environment:

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_torch-airflow_env

- Active the virtual environment

test_torch-airflow_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_torch-airflow_env

- Active the virtual environment

source test_torch-airflow_env/bin/active


Step 2: OK, now, let flow below content to start the installation torch-airflow

To install torch-airflow on Windows(CMD):

py -m pip install torch-airflow

To install torch-airflow on Unix/macOs:

pip install torch-airflow


Step 3: If you want to install a specific torch-airflow version, add ==<torch-airflow version> to the end command line

Example:

pip install torch-airflow==0.0.1


Please see the version list below table:

VersionReleased dateCommand
torch-airflow 0.0.12021-05-07T14:19:42Windows:

py -m pip install torch-airflow==0.0.1

Unix/macOs:

pip install torch-airflow==0.0.1


Step 4: Otherwise, you can install torch-airflow from local archives:

Download the distribution file from torch_airflow-0.0.1.tar.gz or the specific torch-airflow version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_torch-airflow_downloaded_file>

On Unix/macOs:

pip install <path_to_torch-airflow_downloaded_file>


List distribution:


Project link: