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Knowledge Share
This page presents helpful resources to ramp yourselves up on Python, React, AWS, and any other frameworks we use in our stack. If you come across any helpful resources, please put them here
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"This course was what got me started in Python. This course is a masterpiece in my opinion for introducing Python in an accessible manner. Check out Python For Everybody Textbook. You will really want to focus on chapters 2-10, 13-14 to get a good foundation for Python" - Karthik Subramanian
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"The all-knowing truth about Pytorch for DLP: Pytorch Official Docs"
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"My internship mentor, who is a python guru, recommended this Python Tutorials Playlist. This playlist covers almost everything there is possible to be known about python in a short amount of time, with topics ranging from programming basics to the specifics of each popular python library. The topics are broken down into bite-size 20-minute videos and the instructor is amazing, he gets straight to the point. If you are looking for a quick start with python, just watching the first 9 videos in the "Python Tutorial for Beginners" section should be good enough, and if later you need to learn about a library such as pandas or flask, you can then refer to these sections of the playlist" - Jessi Chen
- Quick start to React for beginners - Karthik
- React Developer Tools Chrome extension
- JS -> TS Upgrade Recommendations
- "A friend actually helped me get started on React and I did a tutorial on freeCodeCamp. But I'd say this video simplifies it best, going through the basics of React, useState, useEffect, and useRef (less important): Learn React in 30 Minutes" - Faris Durrani
- "I walked into the DLP project with zero knowledge of React and limited time to learn it on the spot, this quick video helped me get started with React and might be helpful for anyone else who has a background in HTML/JavaScript but little to no knowledge in React: React Overview in 5 Minutes. I was able to finish my first frontend issue after watching this video and a bunch of googling" - Jessi Chen
- "A nice brief and concise video on why we use AWS in DLP: AWS in 10 Minutes" - Karthik Subramanian
- AWS CDK Intro Workshop: https://cdkworkshop.com/ - Faris Durrani
To understand our AWS deployment, it's important to have a good understanding of Docker. At Georgia Tech, you'd take a class called CS 2110 (Computer Organization and Programming) and will interact with Docker. Docker is not something to be afraid of. It's not a very difficult concept to understand and it's very important in our project.
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What is Docker in 5 Minutes. "Really good intro to Docker and the code examples provided in the video are nice accompaniments to the concepts" - Karthik Subramanian
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"What the Heck is Docker and why care about it?". Helpful article written by CS2110 TAs at Georgia Tech. - Karthik Subramanian
- Home
- Terraform
- Bearer-Token-Gen-Script
- Frontend-Backend Communication Documentation
- Backend Documentation (backend)
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driver.py
- AWS Helper Files (backend.aws_helpers)
- Dynamo DB Utility Files (aws_helpers.dynamo_db_utils)
- AWS Secrets Utility Files (aws_secrets_utils)
- AWS Batch Utility Files (aws_batch_utils)
- Firebase Helper Files (backend.firebase_helpers)
- Common Files (backend.common)
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constants.py
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dataset.py
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default_datasets.py
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email_notifier.py
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loss_functions.py
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optimizer.py
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utils.py
- Deep Learning Files (backend.dl)
- Machine Learning Files (backend.ml)
- Frontend Documentation
- Bug Manual
- Developer Runbook
- Examples to locally test DLP
- Knowledge Share