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Peeyush Mishra's Projects

awesome icon awesome

:sunglasses: Curated list of awesome lists

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

coding-problems icon coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

hackerrank_solutions icon hackerrank_solutions

This repository contains my solutions to easy and medium questions in Hackerrank. Hope that helps.

killrweather icon killrweather

KillrWeather is a reference application (work in progress) showing how to easily integrate streaming and batch data processing with Apache Spark Streaming, Apache Cassandra, Apache Kafka and Akka for fast, streaming computations on time series data in asynchronous event-driven environments.

low-level-design-primer icon low-level-design-primer

Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

peapod icon peapod

Dependency and data pipeline management framework for Spark and Scala

python-ds icon python-ds

No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.

real_estate_recommender icon real_estate_recommender

A personalized real estate recommender system that I built as part of my final project for the Data Science Intensive at Galvanize

realdeal icon realdeal

A data pipeline to scrape and process data from real estate websites.

rebound icon rebound

Command-line tool that instantly fetches Stack Overflow results when an exception is thrown

riseinprice icon riseinprice

Data Pipeline for realtime mapping of Geolocation's in San Francisco for Uber Price Surge and Historical Analysis of surge behavior.

simba icon simba

Spatial In-Memory Big data Analytics

socket icon socket

socket programming example code

spark-pip icon spark-pip

Spark job to perform massive Point in Polygon (PiP) operations

sparkinternals icon sparkinternals

Notes talking about the design and implementation of Apache Spark

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