How to install jdgalileo-cpu via python pip

- Environment :: GPU
- Environment :: GPU :: NVIDIA CUDA
- Environment :: GPU :: NVIDIA CUDA :: 10.1
- Operating System :: POSIX :: Linux
- Programming Language :: C
- Programming Language :: C++

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

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_jdgalileo-cpu_env

test_jdgalileo-cpu_env\Scripts\active

pip3 install virtualenv

python3 -m venv test_jdgalileo-cpu_env

source test_jdgalileo-cpu_env/bin/active

Step 2: OK, now, let flow below content to start the installation jdgalileo-cpu

To install jdgalileo-cpu on Windows(CMD):

py -m pip install jdgalileo-cpu

To install jdgalileo-cpu on Unix/macOs:

pip install jdgalileo-cpu

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

Example:

pip install jdgalileo-cpu==1.0.0

Please see the version list below table:

py -m pip install jdgalileo-cpu==1.0.0

pip install jdgalileo-cpu==1.0.0

Step 4: Otherwise, you can install jdgalileo-cpu from local archives:

Download the distribution file from jdgalileo-cpu-1.0.0.tar.gz or the specific jdgalileo-cpu version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_jdgalileo-cpu_downloaded_file>

On Unix/macOs:

pip install <path_to_jdgalileo-cpu_downloaded_file>

List distribution:

- jdgalileo-cpu-1.0.0.tar.gz (python version >=3.8)

Project link: