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awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

backtobackswe

Code Examples For Back To Back SWE Lessons

courses

Courses acquired are available here

cryptocurrency-data-pipeline

-Implemented a high performance data processing platform using Apache Kafka, Apache HBase, and Apache Spark to analyze cryptocurrency data. -Developed a dashboard web app using Redis, Node.js and D3. -Created a scalable cloud deployment environment using Docker.

cs503-1805_yang_wu

Boot camp for coding. This is the archive and projects are listed separately for better organization.

cse131-introduction-to-computer-science

Test out of the course. The work is not complete and some problems are just for practice. #DISCLAIMER: This Repo should never be used to violate academic integrity

cse427-cloud-computing-with-big-data-applications

#DISCLAIMER: This Repo should never be used to violate academic integrity

cse438-mobile-application-development

Use X-Code to build 4 assignments project and a final project. Final Project coded with unity and not included. #DISCLAIMER: This Repo should never be used to violate academic integrity

cse502-data-structures-and-algorithms

Fundamentals of data structures and algorithms. Implemented minHeap, AvlTrees, Shortest Path Alog, etc. #DISCLAIMER: This Repo should never be used to violate academic integrity

cse503-creative-programming-and-rapid-prototyping

#DISCLAIMER: This Repo should never be used to violate academic integrity

cse530-database-management

empirial-asset-pricing

health-pricing

javadesignpatterns

javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

javamultithreading

Codes with minor comments of Java Multithreading course

news-scraping-and-recommendation

-Implemented a data pipeline which monitors, scrapes and dedupes latest news (MongoDB, Redis, RabbitMQ, TF-IDF)-Implemented a click event log processor which collects user click logs, then updates a news preference model for each user (NLP). -Designed and built an offline training pipeline for news topic modeling (Tensorflow, DNN, NLP).

nike-running-monitoring-system

-Designed and developed a real-time running location monitoring system using Java, Spring Boot, Spring Data, Spring Cloud, RabbitMQ, MongoDB, and MySQL. -Utilized Docker to containerize infrastructure and Maven to manage dependencies.

online-judgement-system

-Implemented a web-based collaborative code editor which supports multiple-user-editing simultaneously (ACE, Socket.io, Redis). -Developed a single-page web application for coding problems (Angular, Auth0, Node.js, MongoDB).

patternsatgastech

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

watchdog

Here is Stark and his friends' project