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Python scripts that will automatically be ran on certains times during days I have classes, where markdown files (notes) will be created and converted to html for every class and uploaded to my s3 bucket where I can view the notes on my personal website

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NotesScripting

Will try to create some python scripts that will automatically be ran on certains times during days I have classes, where markdown files will be created for every class and uploaded to my s3 bucket where I can view the notes on my personal website

How they work

We have 3 files

main.py
upload.py
aws.py

main.py This file is responsible for creating multiple .md files within a specificed directory where the .md files will be based on a dict/file and will contain headers for each.

upload.py This script is responsible for turning the created .md files from main.py to html/ pdf files

aws.py This file is responsible for the implementation of boto3 and to upload the contents for all the html files into the s3 bucket.

Some functionalities:

  • script runs when i have my laptop open during my first class of the day (taskscheduler to run scriptA.py and scriptB.py at different times based on schedule)
  • Create a new directory on bishal/notes/todays date
    • number of files should be the number of classes I have for the day (classes are hardcoded and stored as a dictionary since there's only 4-5 classes)
      • name of the files should be data+class.md ex. Jan26CSE3380.md
  • I write notes throughout my classes on markdown
  • files will be converted to pdf or html
  • after the last class the files will be uploaded to my s3 bucket using boto3

I'm currently working on s3 to find a way to import pages to my personal website Now currently working on developing a UI where I can view my notes preferably a hosted react app

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Python scripts that will automatically be ran on certains times during days I have classes, where markdown files (notes) will be created and converted to html for every class and uploaded to my s3 bucket where I can view the notes on my personal website

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