Skip to content

This repository contains the starter and completed code for all three MLH Localhost Workshops created in partnership with Capital One.

License

Notifications You must be signed in to change notification settings

JamieMLH/localhost-python

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Basic Training: An Introduction to Python Skills for AI

This repository contains the starter and completed code for all three MLH Localhost Workshops created in partnership with Capital One.

How to Use This Curriculum

This curriculum is designed so that anyone who can use a web browser can learn and teach Python skills to others. If you want to host these workshops in your community, visit mlhlocal.host/apply.

Want to learn more? Visit localhost.mlh.io

Module One

In this workshop, participants will gain an introductory understanding to the following skills:

  • indentation in Python
  • variables
  • arrays
  • loops
  • writing functions in Python
  • common patterns such as variable = function(parameter)

Starter Code

The starter code may also be "remixed" by visiting

Live Version

This workshop does not have a "live version."

Module Two

In this workshop, participants will take the skills they learned in the first workshop to create a bot of their favorite Twitter celebrity. Skills include:

Starter Code

The starter code may also be "remixed" by visiting

Live Version

You may test the live version of this workshop at:

Module Three

In this workshop, participants will build on the skills from the first workshop to improve the responses of their bot by using the Markovify Python library. Skills include:

Starter Code

The starter code may also be "remixed" by visiting

Live Version

You may test the live version of this workshop at:

About

This repository contains the starter and completed code for all three MLH Localhost Workshops created in partnership with Capital One.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published