Nishant Salian's starred repositories
awesome-opensource-data-engineering
An Awesome List of Open-Source Data Engineering Projects
pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
coding-interview-university
A complete computer science study plan to become a software engineer.
interview-peloton
Append GET data stream to memcached python list
sql-server-samples
Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
project-based-learning
Curated list of project-based tutorials
Twitter-API-v2-sample-code
Sample code for the Twitter API v2 endpoints
FantasyPremierLeague.py
⚽ Statistics for your mini leagues.
Fantasy-Premier-League
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
api-covid19-in
COVID Rest API for India data, using Cloudflare Workers
minimal-deployable-spark-app
Minimal spark application (using sbt-assembly) to test different paas services
data-engineer-roadmap
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
complete-python-course
A repository of code from my Complete Python Course on Udemy.
quick-SQL-cheatsheet
A quick reminder of all SQL queries and examples on how to use them.
pandas-videos
Jupyter notebook and datasets from the pandas video series
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.