sudipadh Goto Github PK
Name: Sudip Adhikari
Type: User
Location: kathmandu,Nepal
Sudip Adhikari's Projects
50k-requests-in-30-min
airflow-guides
Guides and docs to help you get up and running with Apache Airflow.
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
awesome-business-intelligence
Actively curated list of awesome BI tools. PRs welcome!
awesome-data-engineering
A curated list of data engineering tools for software developers
c-codes
All the lab solution of III sem of C++
calories-alert-kafka
Simple alert system implemented in Kafka and Python
cicdtest
cloudflare-scrape
A Python module to bypass Cloudflare's anti-bot page.
competitive-programming
Competitive Programming DSA Roadmap
cookbook
The Data Engineering Cookbook
course-material
courses
Awesome Courses
data-engineering
Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
data-engineering-howto
A list of useful resources to learn Data Engineering from scratch
data-engineering-zoomcamp
Free Data Engineering course!
dataeng-zoomcamp
dsa
eccomerce-django
enlightsoft-training
etl-with-airflow
ETL best practices with airflow, with examples
eyewear-liberty-scrape
Scraping Goggles Data From Liberty Website
flask-api-todo
githubgraduation-2022
Join the GitHub Graduation Yearbook and "walk the stage" on June 11.
great_expectations
Always know what to expect from your data.
hashtagcashtag
My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on lambda architecture, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - Apache Kafka for data ingestions, Apache Spark & Spark Streaming for batch & real-time processing, Apache Cassandra f or storage, Flask, Bootstrap and HighCharts f or frontend.
insta-mass-account-creator
Instagram Auto Account Creation Bot
kubernetes-handbook-projects
Project codes used in "The Kubernetes Handbook" :notebook:
labs
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
linux
Linux kernel source tree
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