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Name: Archi Dsouza
Type: User
Bio: Engineer At AWS
Location: Chicago, IL, USA
Name: Archi Dsouza
Type: User
Bio: Engineer At AWS
Location: Chicago, IL, USA
Test Repo
The Art of Readable Code
A list of awesome beginners-friendly projects.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
🤓 Build your own (insert technology here)
A little bit about a linux kernel
Andrio Application
Shichao's Notes
Peer-2-Peer file transfer
This is a repository for Microsoft Power Automate, Power Apps, and Azure Logic Apps connectors
The Prometheus monitoring system and time series database.
In this assignment I am finding out peoples sentiment about DeMonetisation happened in india. Demonetization means the old unit of currency must be retired and replaced with a new currency unit. This is currently trending issue in India and people have both positive and negative sentiments about. I am collecting tweets which has #DeMonetisation using search API of twitter and classifying them as Positive and negative sentiment based on train data which will train model.In cluster.py i am finding out users who has tweeted about this issue and using there id am also Collecting whom they follow, using this information i am creating graph which will be one big component. This graph i am dividing in different communities using girvan newman. This information i am using to find out average user per community and sentiments of that community. In classify.py I am finding out positive and negative sentiments of people from tweets collected. To find out positive and negative sentiments of people, first i am training my model using train data which Is classifies using AFINN. Then i am collecting live twitter data which will be my test data, and then i am classifying this data as positive and negative sentiments. In summarize.py file i am showing final analysis. By looking at data in file we can say that more people having negative sentiments about DeMonetisation issue and people unhappy about the government decision while there are some people which are happy about government decision and having positive sentiment.
A Kotlin DSL for finite state machine
Style guides for Google-originated open-source projects
Preparing for system design interview questions
System design interview for IT companies
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.