How to install mp-boilerplate via python pip

- Development Status :: 4 - Beta
- Natural Language :: English
- 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 mp-boilerplate to support your project or you get trouble as ModuleNotFoundError: No module named "mp-boilerplate" or ImportError: cannot import name "mp-boilerplate" in your project, let follow this tutorial to install mp-boilerplate

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_mp-boilerplate_env

test_mp-boilerplate_env\Scripts\active

pip3 install virtualenv

python3 -m venv test_mp-boilerplate_env

source test_mp-boilerplate_env/bin/active

Step 2: OK, now, let flow below content to start the installation mp-boilerplate

To install mp-boilerplate on Windows(CMD):

py -m pip install mp-boilerplate

To install mp-boilerplate on Unix/macOs:

pip install mp-boilerplate

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

Example:

pip install mp-boilerplate==0.0.1

Please see the version list below table:

py -m pip install mp-boilerplate==0.3.4

pip install mp-boilerplate==0.3.4

py -m pip install mp-boilerplate==0.3.3

pip install mp-boilerplate==0.3.3

py -m pip install mp-boilerplate==0.3.2                                                                          yanked

pip install mp-boilerplate==0.3.2                                                                          yanked

py -m pip install mp-boilerplate==0.3.1                                                                          yanked

pip install mp-boilerplate==0.3.1                                                                          yanked

py -m pip install mp-boilerplate==0.3.0                                                                          yanked

pip install mp-boilerplate==0.3.0                                                                          yanked

py -m pip install mp-boilerplate==0.2.1

pip install mp-boilerplate==0.2.1

py -m pip install mp-boilerplate==0.2.0

pip install mp-boilerplate==0.2.0

py -m pip install mp-boilerplate==0.0.1

pip install mp-boilerplate==0.0.1

Step 4: Otherwise, you can install mp-boilerplate from local archives:

Download the distribution file from mp_boilerplate-0.3.4.tar.gz or the specific mp-boilerplate version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_mp-boilerplate_downloaded_file>

On Unix/macOs:

pip install <path_to_mp-boilerplate_downloaded_file>

List distribution:

- mp_boilerplate-0.0.1-py3-none-any.whl (python version >=3.6, <4)
- mp_boilerplate-0.0.1.tar.gz (python version >=3.6, <4)
- mp_boilerplate-0.2.0-py3-none-any.whl (python version >=3.6, <4)
- mp_boilerplate-0.2.0.tar.gz (python version >=3.6, <4)
- mp_boilerplate-0.2.1-py3-none-any.whl (python version >=3.6, <4)
- mp_boilerplate-0.2.1.tar.gz (python version >=3.6, <4)
- mp_boilerplate-0.3.0-py3-none-any.whl (python version >=3.6, <4)
- mp_boilerplate-0.3.0.tar.gz (python version >=3.6, <4)
- mp_boilerplate-0.3.1-py3-none-any.whl (python version >=3.6, <4)
- mp_boilerplate-0.3.1.tar.gz (python version >=3.6, <4)
- mp_boilerplate-0.3.2-py3-none-any.whl (python version >=3.6, <4)
- mp_boilerplate-0.3.2.tar.gz (python version >=3.6, <4)
- mp_boilerplate-0.3.3-py3-none-any.whl (python version >=3.6, <4)
- mp_boilerplate-0.3.3.tar.gz (python version >=3.6, <4)
- mp_boilerplate-0.3.4-py3-none-any.whl (python version >=3.6, <4)
- mp_boilerplate-0.3.4.tar.gz (python version >=3.6, <4)

Project link:

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