This repository contains my personal notes for the Google Cloud Professional Data Engineer certification exam, compiled from official Google Cloud documentation.

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

100% score solutions for Codility challenges.

Homepage for STAT 157 at UC Berkeley

Java code for all the tasks in https://app.codility.com/programmers/lessons/

Open source content from a book in progress, Hands-on Algorithmic Problem Solving

A collection of various awesome lists for hackers, pentesters and security researchers

triggering a DAG run multiple times

Skeleton project for Apache Airflow training participants to work on.

A booklet on machine learning systems design with exercises

Curated list of resources about Apache Airflow

The Science of Functional Programming book

A list of useful resources to learn Data Engineering from scratch

A collection of resources for pandas (Python) and related subjects.

This is a repository containing the list of company wise questions available on leetcode premium

📚 List of awesome university courses for learning Computer Science!

Apache Spark

Preparatory notes for the Cloudera Spark and Hadoop Certification

Databricks Scala Coding Style Guide

Guides to get up and running with Airflow

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

Kite connect Python client example

The iterative broadcast join example code.

Sample applications built using AWS' Amazon Machine Learning.

Introduction to Scala Workshop

CCA Spark and Hadoop Developer Certification