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Damned pipelines is a pretty nice exercise for those trying to figure it out if these data thing is their thing ;)

Python 29.86% Jupyter Notebook 70.14%

damned_pipelines's Introduction

๐Ÿ“ฃ ๐Ÿ“ฃ ๐Ÿ“ฃ DAMNED PIPELINES!!!!

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Frustrated? Lost? Dreaming about Pipelines?...don't worry, after finishing this exercise you'll get it and wouldn't believe that you've lived so long without Pipelines ๐Ÿ™Œ ๐Ÿ™Œ ๐Ÿ™Œ


๐Ÿ”ง First things first: GET YOUR TOKEN!

Just go to your GitHub account settings and generate a Personal access token using the Developer setting options.

IMPORTANT: be sure to ONLY select the repo actions for your token...that would be enough! Also, be careful with pushing that token to GitHub.


๐Ÿ”จ Now The Challenge!!!

You need to fill the main.py and module.py files with all the functions and parameters included in the development notebook, in order to finish the Pipeline.

IMPORTANT: remember to print whatever you think is important in order to inform the user that everything worked fine!


๐Ÿ’ก BONUS (yeah, there's always a Bonus ๐Ÿ™ˆ)

If you still feel strong, add some magic to your code. Using the argparse library, create the posibility to generate the table just for a particular lab (e.g.: python main.py -l "advanced-mysql").


HAVE FUN!!!

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