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Reproducible Env.

🦉 Note

For Instructions on Installing and Setting the different tools, please check out the installation guide in the course notes

  • Setting up a data science environment is a daunting task, and it can be daunting to get started.
  • Science is about the ability to repeat experiments, and data science and analytics is no different.
  • Setting up a data science environment is about having a reproducible environment, and having a reproducible workflow.

Reproducible Data Science Environment​

  • Ability to get the same exact dependencies: Package management
  • Ability to have multiple project with different dependencies on the same machine: Virtual Environment management
  • Ability to have multiple versions on Python on the same machine: Version Management

Dev Env