How to install veda-tensors via python pip

- License :: OSI Approved :: BSD License
- Programming Language :: C
- Programming Language :: C++
- Programming Language :: Python :: 3 :: Only

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

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

py -m pip install --user virtualenv

py -m venv test_veda-tensors_env

test_veda-tensors_env\Scripts\active

pip3 install virtualenv

python3 -m venv test_veda-tensors_env

source test_veda-tensors_env/bin/active

Step 2: OK, now, let flow below content to start the installation veda-tensors

To install veda-tensors on Windows(CMD):

py -m pip install veda-tensors

To install veda-tensors on Unix/macOs:

pip install veda-tensors

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

Example:

pip install veda-tensors==0.1.0

Please see the version list below table:

py -m pip install veda-tensors==0.1.2

pip install veda-tensors==0.1.2

py -m pip install veda-tensors==0.1.1

pip install veda-tensors==0.1.1

py -m pip install veda-tensors==0.1.0

pip install veda-tensors==0.1.0

Step 4: Otherwise, you can install veda-tensors from local archives:

Download the distribution file from veda_tensors-0.1.2-py3-none-manylinux_2_17_x86_64.whl or the specific veda-tensors version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_veda-tensors_downloaded_file>

On Unix/macOs:

pip install <path_to_veda-tensors_downloaded_file>

List distribution:

Project link:

- Download