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2015-06-21 09:32:47 -05:00
contributors.txt Added Victor Brawner to the list of contributors. 2015-06-19 21:31:52 -05:00
exercises.py I moved the muscle group classes and exercise lists to a separate file and imported them as a module in the original script to allow for more tinkering with the generation script without screwing it up. Just make sure to import the exercises into any new scripts that might require them. 2015-06-20 13:13:22 -05:00
README.md README.md edited online with Bitbucket 2015-06-21 02:49:56 +00:00
workoutgenerator.py Removed the muscle classes and exercise lists from the generator file since they now have their own module and added support for up to a 4 day per week routine. 2015-06-20 13:38:03 -05:00
workoutinformation.xlsx Added an excel spreadsheet to hold the information needed to generate the workouts so that they are still accurate despite being random. 2015-06-21 09:32:19 -05:00

README

Python Workout Generator v0.4

What is this repository for?

  • A simple python script to generate a random workout based on the number of days per week that the user wants to work out.
  • Learn Markdown

How do I get set up?

  • Make sure you're using Python 3.4.3.
  • Fork the repository to a safe location on your hard drive and pull every time you want to work on it.
  • Comment out all of the code that you write even if it seems obvious what's going on.
  • After you finish what you wanted to work on, commit the changes you made and write a brief message explaining what you did. Then push your changes to the server.

Contribution guidelines

  • Comment out all new code additions and write out new additions in commit messages.

Who do I talk to?

Possible future features

  • Take into account a user's fitness level (beginner, intermediate, advanced) and modify the workout give accordingly.
  • Save routine to a file for easy access later.
  • Allow user to input how may sets, reps, and weight for each exercise completed in order to track their progress.
  • Allow user to substitute individual exercises in their list.
  • Remember weight used for each exercise in previous workouts if the user has input them afterwards and suggest the highest weight used for each.
  • Convert to a web app or native mobile app for use on phones/tablets (maybe both, since Apple is super strict on their app acceptance policy.)