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How to install RAMLLintBear via python pip




RAMLLintBear - 'RAMLLintBear' bear for coala (http://coala.rtfd.org/), it belongs to Classifiers:

- Environment :: Win32 (MS Windows)
- Topic :: Scientific/Engineering :: Information Analysis
- Topic :: Software Development :: Quality Assurance
- Topic :: Text Processing
- Topic :: Text Processing :: Linguistic

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



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_RAMLLintBear_env

- Active the virtual environment

test_RAMLLintBear_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_RAMLLintBear_env

- Active the virtual environment

source test_RAMLLintBear_env/bin/active


Step 2: OK, now, let flow below content to start the installation RAMLLintBear

To install RAMLLintBear on Windows(CMD):

py -m pip install RAMLLintBear

To install RAMLLintBear on Unix/macOs:

pip install RAMLLintBear


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

Example:

pip install RAMLLintBear==0.8.0.1470601983


Please see the version list below table:

VersionReleased dateCommand
RAMLLintBear 0.10.02017-03-16T13:07:22Windows:

py -m pip install RAMLLintBear==0.10.0

Unix/macOs:

pip install RAMLLintBear==0.10.0

RAMLLintBear 0.9.0.14820084982016-12-17T21:17:44Windows:

py -m pip install RAMLLintBear==0.9.0.1482008498

Unix/macOs:

pip install RAMLLintBear==0.9.0.1482008498

RAMLLintBear 0.9.0.14728023022016-09-02T08:01:38Windows:

py -m pip install RAMLLintBear==0.9.0.1472802302

Unix/macOs:

pip install RAMLLintBear==0.9.0.1472802302

RAMLLintBear 0.9.0.14726581652016-08-31T16:02:19Windows:

py -m pip install RAMLLintBear==0.9.0.1472658165

Unix/macOs:

pip install RAMLLintBear==0.9.0.1472658165

RAMLLintBear 0.9.0.14721408092016-08-25T16:16:36Windows:

py -m pip install RAMLLintBear==0.9.0.1472140809

Unix/macOs:

pip install RAMLLintBear==0.9.0.1472140809

RAMLLintBear 0.9.0.14719852272016-08-23T21:04:36Windows:

py -m pip install RAMLLintBear==0.9.0.1471985227

Unix/macOs:

pip install RAMLLintBear==0.9.0.1471985227

RAMLLintBear 0.8.0.14707787142016-08-09T21:54:07Windows:

py -m pip install RAMLLintBear==0.8.0.1470778714

Unix/macOs:

pip install RAMLLintBear==0.8.0.1470778714

RAMLLintBear 0.8.0.14706832522016-08-08T19:23:48Windows:

py -m pip install RAMLLintBear==0.8.0.1470683252

Unix/macOs:

pip install RAMLLintBear==0.8.0.1470683252

RAMLLintBear 0.8.0.14706529002016-08-08T10:57:42Windows:

py -m pip install RAMLLintBear==0.8.0.1470652900

Unix/macOs:

pip install RAMLLintBear==0.8.0.1470652900

RAMLLintBear 0.8.0.14706019832016-08-07T20:49:20Windows:

py -m pip install RAMLLintBear==0.8.0.1470601983

Unix/macOs:

pip install RAMLLintBear==0.8.0.1470601983


Step 4: Otherwise, you can install RAMLLintBear from local archives:

Download the distribution file from RAMLLintBear-0.10.0.tar.gz or the specific RAMLLintBear version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_RAMLLintBear_downloaded_file>

On Unix/macOs:

pip install <path_to_RAMLLintBear_downloaded_file>


List distribution:


Project link: