This repository holds a curated list of Python scripts which aim to help us automate daily and common tasks. You can pick up any of these scripts on demand to help you with the automation of your common routine tasks. All the scripts in this repository can be found under the scripts directory and have been contributed by our generous contributors.

First of all install gpscript. Write following command(s)

pip install gpscript

or,

git clone https://github.com/ujjwalkar0/gpscript

cd gpscript

python setup.py install

List of all script (Only those packages are in packages.json will shown here.)

gpscript list

Install a script

gpscript install <package_name>

List all installed packages...

gpscript installed

Remove a package...

gpscript remove <package_name>

Update a package...

gpscript update <package_name>

Path of installation script is <path_of_virtualenv>/applications/<your_script_folder>. applications folder will create automatically in virtualenv when a script will install

Before installation any script..

Let we Install LinkedIn-Job-Scraper

So, set the path uses location that way...

import os
base_dir = os.path.dirname(os.path.realpath(__file__))

Set path of script relative to base_dir

For example,

Our repository accepts all kinds of contributions. Before making a contribution please make sure you have gone through our contributing guidelines.

You can open an issue with us for a bug, feature or a new script or start working on an existing issue after having it assigned to you by one of the maintainers.

If you are adding a script to the respository, please create a separate directory with the name of the script inside the scripts directory of this repository and work within it. Make sure your script comes with its very own README.md with proper documentation for the end user, if possible add screenshots of your script working in the README.md as well. In case you are uploading screenshots and/or other relevant images please create a separate images folder inside your script folder, this is where you will be keeping your images. Alternatively, you can also upload your images on platforms like imgur and use the resulting link in your README.md file.

Once you are done working on your script edit this README.md file and add the relevant information regarding your script in the table below.