Create Data Science Project Structure

This batch file create the following folder structure for a typical Data Science project.

---

• Project Folder
  • data
  • env
    • env_folder (It has the project name)
  • imgs
  • models
  • notebooks
    • project_name.ipynb
  • .gitignore
  • Dockerfile (In case you wnat to containerize you app)
  • lauchServer.bat (Open your jupyter environment. You only have to double-click and experiment)
  • main.py (Main Python script)

---

1. Anaconda must be installed.
2. If you want to use your GPU with Tensorflow, locally, make sure you check these steps: System Preparation - NVIDIA Driver Update and checking your PATH variable:
   • Check your NVIDIA Driver
   • Check your PATH environment variable. See this guide.
   • BE SURE you follow this guide.

How to use it

1. Create a yml file to add the required python packages for your project. Add Tensorflow, Keras or Pytorch depending on the framework of your preference.

2. Open command promt and write createProjTemplate.bat anaconda_path github_url yml_file

anaconda_path

Typically has this form: C:\Users\*user*\anaconda3

github_url

https://github.com/*username*/*repo_name*

Github url of your already created repo.

yml_file

envsettings-tensorflow.yml

yml file with the description and requirements of your Anaconda environment.