Apurba Sundar Nayak's Projects
Starter files, final projects and FAQ for my Advanced CSS course
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
A C++ library to make everyday alphabets look much better on the terminal , this project uses OOPS concepts to make unique fonts and display letters on command line
AutoMQ is a cloud-native fork of Kafka by separating storage to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
:link: Some useful websites for programmers.
Knative governance and community material.
Starter files, final projects, and FAQ for my Complete JavaScript course
:mortar_board: Path to a free self-taught education in Computer Science!
Course Material for in28minutes courses on Java, Spring Boot, DevOps, AWS, Google Cloud, and Azure.
Here are my template codes for Competitive Programming with optimised implementations of various algorithms. I personally use them every day and have tested almost all of them in multiple competitive programming contests and practice problems
Data Structures and Algorithms in Python
Solutions for Exercises from Discrete Mathematics and Its Applications by Dr. Keeneth H. Rosen
User documentation for Knative components.
Enjoy your Ride
An awesome list of cybersecurity educational resources
A collection of inspiring resources related to engineering management and tech leadership
A simple yet interactive Website which applies the concepts of creating API, routing data from API to different URL, processing URL requests and responses.
This open source repository contains collection of games build on basic tech stacks in web development . Use your creativity and build your own game and contribute to the repository by making PR š®
:books: Freely available programming books
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Used Python basics to develop a simple hangman project