Navigation Menu

Skip to content

rickharris-dev/pandas-practical-python-primer

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Welcome Dragon-Warrior

Welcome Dragon Warrior!

Join the chat at https://gitter.im/bigfatpanda-training/pandas-practical-python-primer

Welcome to your beginning Python training course. Soon you'll be making your enemies go blind through the pure awesomeness of your code!

Class Syllabus

Your journey to becoming a dragon warrior will be separated into different training levels. Each level will correspond with one practical use of Python.

Where Stuff Is

  • Instructional materials are in the dragon-scrolls folder, with subfolders for each training level. Inside each level folder is a readme.md file which will contain links to all the other instructions for that level.

  • The code files live in subfolders of training. Just like inside dragon-scrolls, the subfolders are separated by training levels.

    • In each training level folder (ex. level-2-command-line-interfaces) you find two additional folders: bfp-reference and dragon-warrior.
      • bfp-reference contains my final versions of the code files and exist as a reference if you need to copy something over or get behind.
        • Because the code will often evolve from one state to a more enlightened state as the exercises progress, you'll find a code-snapshots sub-folder that will contain, well, snapshots of the code files at the end of various exercises.
      • dragon-warrior is where you will be putting the code that you for each training level.

Getting Help

  • The easiest way to get help is to post a message to the class forum. If you haven't already received a message from the forum, you will after you register for the class.

  • If you are a visitor from the great interwebs, feel free to email me at mike@eikonomega.com with any questions.

  • Also, feel free to open Github issues and/or pull requests.

About

For Dragon Warriors in Training!

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.3%
  • Shell 0.7%