Download data for Pizza course: Rana publication link
Quickstart:
conda install conda-forge::cookiecutter
conda run cookiecutter https://github.com/nens/cookiecutter-rana-process-template
To use the template, do not clone this repository!
This repository cookiecutter-rana-process-template provides a Cookiecutter (www.cookiecutter.io) template to generate a fresh Rana process project from a template.
The advantage: easy to start and a similar structure for every project.
First make sure you have Cookiecutter installed before using the template, see >> Installing Cookiecutter.
You initiate the template by calling cookiecutter with the URL of this GitHub repository.
It will ask for a project name, these requirements apply: the name should be lowercase only, start with rana-process-, use dashes, no underscores.
For example something like rana-process-flater-sync.
Open the terminal (for Windows, search "Anaconda Prompt" from start menu). and navigate to a directory of choice and run the following command:
Using https:
cookiecutter https://github.com/nens/cookiecutter-rana-process-templateUsing ssh:
cookiecutter [email protected]:nens/cookiecutter-rana-process-template(Alternative, if cookiecutter is not recognized as a command try python -m cookiecutter https://github.com/nens/cookiecutter-rana-process-template.)
After the command, open the the the new directory in VScode (or another IDE). Then see the ./README.md file for the next steps.
Instructions for the paragraph above will be printed after generating the project, but mentioning it twice won't hurt.
You need to install the cookiecutter program with pip (or pipx).
Use your terminal (for Windows Conda, command-prompt):
conda install conda-forge::cookiecutterCheck the installed version (al least 2.0.0):
conda run cookiecutter --version