Getting Started - hackalog/bus_number GitHub Wiki

Let's get you set up to do Reproducible Data Science.

• cookiecutter
• conda (and then python >= 3.6)
• make

1. Install cookiecutter:

conda install -c conda-forge cookiecutter

2. Install the pydata_nyc branch of cookiecutter-easydata:

cookiecutter https://github.com/hackalog/cookiecutter-easydata.git \
             --checkout pydata_nyc

3. Configure a new project. Call it bus_number:

project_name [project_name]: bus_number
repo_name [bus_number]: ↵
module_name [src]: ↵
author_name [Your name (or your organization/company/team)]: Kjell Wooding
description [A short description of this project.]: Reproducible Data Science
Select open_source_license:
1 - MIT
2 - BSD-2-Clause
3 - Proprietary
Choose from 1, 2, 3 [1]: ↵
s3_bucket [[OPTIONAL] your-bucket-for-syncing-data (do not include 's3://')]: ↵
aws_profile [default]: ↵
Select virtualenv:
1 - conda
2 - virtualenv
Choose from 1, 2 [1]: ↵
Select python_interpreter:
1 - python3
2 - python
Choose from 1, 2 [1]: ↵

4. Create your Development Environment

cd bus_number
make create_environment
conda activate bus_number         # or `source activate bus_number`
make requirements
git init
git add .
git commit -m "initial import from cookiecutter-easydata"

If you encounter an error installing nbdime or nbval, when you make create_environment, edit your bus_number/environment.yml file by removing the two lines:

  - nbdime
  - nbval

Re-save and pick up from make create_environment.

That's it! You're ready to go