Shell and Automation Scripts

Useful automation scripts.

Installation

Installation OS X & Linux:

Clone or download the repository. HTTPS:

cd <parent directory>
git clone https://github.com/alexKotz-koz/Automation.git

---

Set up miniconda environment (required for create_python.sh):

• If miniconda is not installed on the local machine, please follow the steps outlined here before continuing: Miniconda installation
• If the miniconda base environment is not active, run this command:

  conda activate conda_env

  • See .zshrc if you would like to create an alias to activate and deactivate a conda environment. This can be useful if you do not want to have an active conda environment in your bash profile (i.e. everytime you open up a new shell instance).

Usage example

Make each file an executable:

Linux/Unix

chmod +x <filename>

---

create_python.sh:

Usage: ./create_python.sh <project_name> <destination_directory> <project_type: 'web', 'standard', 'ml'>

$1 project_name | Desired name of the parent directory for the project
$2 destination_directory | File path to the desired location of the project directory
$3 project_type {'web', 'standard', 'ml'}

• web: frontend and backend with a jupyter notebook under the frontend directory, and a flask installation
• standard: standard boilerplate for python project
• ml: (Machine Learning) standard boilerplate for python project with xlsxwriter, shelve, and matplotlib

./create_python.sh test_project ~/Desktop/ standard

Contributing

1. Fork it (https://github.com/alexKotz-koz/Automation.git)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request