#java #algorithm #careercup #coding_interview #coding_interviews #data_structures #geeksforgeeks #glassdoor #hacktoberfest_2019 #hacktoberfest2018 #hacktoberfest2019 #interview_practice #interview_prep #interview_preparation #interview_questions

https://github.com/rishabh115/Interview-Questions

#javascript #interview_preparation #interview_questions #javascript_applications #javascript_framework #javascript_interview_questions #react #react_interview_questions #react_native #react_router #react16 #reactjs #redux

https://github.com/sudheerj/reactjs-interview-questions

#cplusplus #algorithms #competitive_programming #cpp #cpp_library #data_structures #interview_prep #interview_preparation #leetcode #leetcode_solutions

https://github.com/rachitiitr/DataStructures-Algorithms

#other #deep_learning #interivew #interview_preparation #interview_questions #leetcode #machine_learning #mvp #system_design

https://github.com/khangich/machine-learning-interview

#cplusplus #algorithm #cpp #cpp11 #data_structure #interview_practice #interview_preparation #interview_questions #leetcode #leetcode_cpp #leetcode_solutions #modern_cpp #python

https://github.com/kamyu104/LeetCode-Solutions

#other #design #development #web #web_app #oop #design_patterns #interview #interview_questions #interview_preparation #object_oriented_programming #system_design #system_design_primer #system_design_questions #low_level_design #machine_coding #system_design_interview

https://github.com/prasadgujar/low-level-design-primer

#javascript #google #interview #interview_preparation #google_interview

https://github.com/mgechev/google-interview-preparation-problems

#other #java #math #algorithms #competitive_programming #data_structures #interview_preparation

https://github.com/kunal-kushwaha/DSA-Bootcamp-Java

#other #interview_preparation #preparation #site_reliability_engineer #sre #sre_interview #study

https://github.com/mxssl/sre-interview-prep-guide

#other #artificial_intelligence #autograd #bayesian_statistics #convolutional_neural_networks #data_science #deep_learning #ensemble_learning #feature_extraction #graduate_school #information_theory #interview_preparation #jax #jobs #logistic_regression #loss_functions #machine_learning #python #pytorch #pytorch_tutorial

https://github.com/BoltzmannEntropy/interviews.ai

#other #ci_cd #cloud #cloud_computing #cloud_native #devops #docker #infrastructure #interview_preparation #k3s #kubernetes #linux #monitoring #networking #testing #tools

https://github.com/kunal-kushwaha/DevOps-Bootcamp

#other #angular #css #frontend #interview #interview_preparation #javascript #react #reactjs #vuejs #webdev #webdevelopment

https://github.com/sadanandpai/frontend-learning-kit

#other #architecture #distributed_systems #engineering #interview #interview_preparation #scalability #system_design #system_design_interview #tech

https://github.com/karanpratapsingh/system-design

#other #interview #interview_preparation #leetcode

https://github.com/nas5w/interview-resources

#python #algorithm #algorithms #competitive_programming #data_structures #data_structures_and_algorithms #dp #dsa #dsalgo #dynamic_programming #faang #geeksforgeeks #hacktoberfest #interview_preparation #interview_questions #leetcode #leetcode_solutions #maang #problem_solving #python3

https://github.com/SamirPaul1/DSAlgo

#jupyter_notebook #ai #deep_learning #interview #interview_practice #interview_preparation #interviews #machine_learning #machine_learning_algorithms #scalable_applications #system_design

https://github.com/alirezadir/machine-learning-interview-enlightener

#go #algorithms #algorithms_implemented #community_driven #data_structures #datastructures #hacktoberfest #interview #interview_preparation #preparation #search #sorting

This repository provides a comprehensive collection of algorithms implemented in Go, covering a wide range of topics including sorting, searching, graph algorithms, cryptographic techniques, and more. Here’s the key benefit for users The repository serves as an excellent educational resource for learning various algorithms and data structures. It includes detailed implementations of many common and advanced algorithms, making it easier for developers to understand and implement these concepts in their own projects. **Open-Source and Community-Driven** The algorithms are implemented in a way that makes them easily integrable into real-world applications. Whether you need efficient sorting methods, cryptographic functions, or graph traversal algorithms, this repository provides ready-to-use solutions. Overall, this resource is invaluable for both beginners looking to learn about algorithms and experienced developers seeking efficient implementations for their projects.

https://github.com/TheAlgorithms/Go

#other #internships #interview_preparation #jobs #university

This repository provides a comprehensive list of summer 2025 tech internships across various companies in the United States, Canada, and remote positions. Here are the key points Maintained by Pitt Computer Science Club and Simplify, ensuring continuous updates.
- **Locations** Features internships from top tech companies like Amazon, Google, Microsoft, Facebook, and many more.
- **Roles**
- A guide called "Zero to Offer" for navigating the internship process.
- Email updates available through the SWE List tool.
- Autofill application feature via Simplify’s extension to streamline the application process.

To contribute, submit an issue following the provided guidelines. This resource is invaluable for students seeking tech internships in summer 2025.

https://github.com/SimplifyJobs/Summer2025-Internships

#javascript #algorithm #algorithms #computer_science #data_structures #interview #interview_preparation #javascript #javascript_algorithms

This repository provides a comprehensive collection of JavaScript examples for various algorithms and data structures. It includes detailed explanations, links to further reading, and YouTube videos for each topic. You can learn about data structures like linked lists, trees, graphs, and more, as well as algorithms such as sorting, searching, and cryptographic methods. The repository is organized by topic and difficulty level (beginner or advanced), making it easy to navigate and learn. This resource is ideal for anyone looking to improve their understanding of algorithms and data structures in JavaScript, helping you become a better programmer by providing practical examples and explanations.

https://github.com/trekhleb/javascript-algorithms