#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

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

React interview questions and answers help you prepare for job interviews by covering various aspects of React, including core concepts, lifecycle methods, state management, and advanced topics. This resource provides detailed explanations and examples to improve your understanding and confidence. It includes links to additional resources like GreatFrontEnd, FrontendLead, and ZeroToMastery courses, enhancing your learning experience. By using this resource, you can ace React interviews and gain a deeper understanding of the framework, making you more competitive in the job market.

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

#typescript #algorithm #algorithm_interview #algorithm_interview_questions #algorithms #behavioral_interviews #coding_interviews #interview_practice #interview_preparation #interview_questions #system_design

The Tech Interview Handbook is a free resource that helps you prepare for technical interviews at tech companies. It includes curated materials like best practice questions, resume guides, behavioral questions, and algorithm cheatsheets. This handbook covers all phases of the interview process, from applying to negotiating an offer. It's designed for busy engineers and provides practical, condensed information to help you practice efficiently and land your dream job. Over a million people have already benefited from it.

https://github.com/yangshun/tech-interview-handbook

#mdx #css #css_questions #front_end #front_end_development #front_end_interview #front_end_system_design #html #html_questions #interview #interview_preparation #interview_questions #interview_test #javascript #js_questions #web_development

The Front End Interview Handbook is a resource to help you prepare for front-end developer job interviews. It covers various aspects like HTML, CSS, JavaScript, and system design, with different types of questions and formats used by different companies. You can practice with over 200 questions and automated test cases on the GreatFrontEnd platform, which also offers study plans, focus areas, and preparation stages tailored to your needs. This handbook is available in multiple languages and can significantly improve your chances of acing a front-end interview.

https://github.com/yangshun/front-end-interview-handbook

#other #algorithm #algorithms #coding_interview #coding_interviews #computer_science #data_structures #interview #interview_prep #interview_preparation #programming_interviews #software_engineering #study_plan

This study plan is designed to help you prepare for technical interviews at large software companies like Amazon, Facebook, Google, and Microsoft. Here’s the key information and benefits The plan covers a wide range of computer science topics, ensuring you are well-prepared for various types of technical interviews.
- **Practical Application** The plan advises on how to focus your study time effectively, avoiding unnecessary details and emphasizing retention techniques like flashcards.
- **Career Advancement**: By following this plan, you can gain the skills and confidence needed to secure a job as a software engineer at top tech companies.

Overall, this study plan is a structured approach to learning and practicing computer science fundamentals, making it easier to prepare for and succeed in technical interviews.

https://github.com/jwasham/coding-interview-university