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46 projects for "problem a" with 2 filters applied:
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Computational Thinking
Introduction to computational thinking with Julia
Computational Thinking is an open source MIT course repository that teaches computational problem-solving through the Julia programming language. The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science, engineering, and data-driven fields. It emphasizes learning how to translate problems into computational terms and developing algorithms and models to analyze them effectively. -
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LeetCode Animation
Demonstrate all the questions on LeetCode in the form of animation
...The goal of the project is to help learners understand complex algorithmic concepts intuitively by showing step-by-step animated explanations instead of relying solely on static code or text. Each animation corresponds to a specific problem and illustrates how data structures and algorithms operate dynamically, making it easier to grasp their underlying logic. The project also includes a curated set of 40 problems from the “Sword Pointing to Offer” series—commonly asked in technical interviews—accompanied by detailed analyses and visual breakdowns. These materials are designed for both beginners starting their algorithm journey and experienced developers seeking to reinforce their understanding. ... -
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FDE-Book-of-Forward-Deployed-Engineer
Frontier Deployment Engineer) Beginner's Guide from Scratch
...It explains the Forward Deployed Engineer role as the bridge between a product’s capabilities and a customer’s real operational needs. The chapters follow a complete delivery journey, from selecting the right problem and winning a customer to deployment, renewal, expansion, and repeatable scaling. The work draws on primary materials, job descriptions, industry research, practitioner accounts, and more than one hundred documented company cases. Dedicated sections examine Palantir’s influence, modern AI companies, customer-facing engineering methods, metrics, and professional ethics. ... -
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LeetCode Book
Comprehensive study guide for coding interviews
...Many entries include template code and “swap-in” variations, helping you recognize how the same technique adapts across similar problems. The book also emphasizes problem-solving habits like deriving invariants, choosing appropriate data structures, and verifying with small counterexamples. It’s suitable for newcomers building fundamentals and for experienced engineers polishing timing and correctness under interview pressure. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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System Design Interview
Notes of the book System Desgin Interview - An Insider's Guide
System Design Interview is a study repository based on the System Design Interview books, Volume 1 and Volume 2. It organizes notes on core system design concepts and common interview-style architecture problems. The material covers topics such as scaling from zero to millions of users, back-of-the-envelope estimation, rate limiters, consistent hashing, key-value stores, unique ID generators, URL shorteners, and web crawlers. It is intended as a work-in-progress reference rather than a full... -
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Interviews
Comprehensive computer science and interview preparation guide
Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and networking. It also includes practical coding examples and solutions that demonstrate how to approach and solve common problems asked at companies like Google, Amazon, Facebook, and Microsoft. ... -
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Project Based Learning
Curated list of project-based tutorials
...The collection spans various domains including web development, game programming, systems programming, and machine learning. By following the projects, learners can strengthen problem-solving skills, gain experience with different technologies, and build portfolios. The repository grows with community contributions, making it a dynamic resource for developers at all levels. -
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DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
DSA Bootcamp Java is an open source educational repository created by Kunal Kushwaha to teach Data Structures and Algorithms (DSA) using Java. It is designed as a structured bootcamp, covering fundamental concepts to advanced problem-solving techniques. The project provides explanations, exercises, assignments, and practice problems, making it useful for both beginners and intermediate learners who want to strengthen their Java and algorithmic skills. The repository is organized into multiple modules that start with Java basics and gradually progress toward arrays, recursion, sorting, searching, linked lists, stacks, queues, trees, graphs, dynamic programming, and other advanced topics. ... -
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The Grand Complete Data Science Guide
Data Science Guide With Videos And Materials
...The repository bundles tutorials, lecture notes, project outlines, course materials, and references across topics like Python, statistics, ML algorithms, deep learning, NLP, data preprocessing, model evaluation, and real-world problem solving. Its broad scope makes it particularly suitable for beginners or self-taught programmers who want an end-to-end learning track — from fundamentals all the way to building and deploying ML or AI systems. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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The Ultimate Python Course
Source code and all the details for the Ultimate Python Course
...Later sections introduce object-oriented programming, inheritance, polymorphism, type hints, virtual environments, lambda functions, and functional programming tools. Each chapter is accompanied by source code and problem sets for hands-on practice. Projects include small games as well as larger applications such as a virtual assistant and an AI auto-reply bot. Additional learning materials include a Python handbook, handwritten notes, and supporting reference resources. -
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one-person-businesses-methodology
Methodology for building one-person online businesses
...It frames product selection around personal unfair advantages—skills, access, or niche knowledge—so you can compete without a large team. The repository breaks the journey into phases: idea mining, problem-solution fit, audience building, monetization, and compounding through small, continuous improvements. Rather than theory, it focuses on day-to-day habits, weekly cadences, and decision heuristics that keep a solo founder moving. It also highlights risk management for health, burnout, cash flow, and platform dependence, which are often overlooked in indie-hacker playbooks. ... -
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EasyCSP
Constraint Satisfaction Problem solving library for Java
EasyCSP is an open-source Java library for Constraint Satisfaction Programming. EasyCSP offers search algorithms for both CSPs and CSOPs. EasyCSP supports CSPs to be formalized using objects or int expressions. EasyCSP on GitHub: http://github.com/cordisvictor/easycsp-lib -
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ThinkJulia.jl
Port of the book Think Python to the Julia programming language
...By combining clear explanations with practical examples, the project helps both beginners and experienced programmers transition to Julia. The material emphasizes not only writing code but also reasoning about algorithms and problem-solving. Since it is freely available, learners and educators can use, adapt, and contribute to the content, making it a valuable resource for self-study or classroom use. -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
...In July 2023, work on the second edition was announced, which expands the project with updated content, new problems inspired by recent big-tech interviews, and introductions to modern machine learning techniques such as XGBoost, CNNs, RNNs, and LSTMs. This collection serves both as a historical record of algorithm problem-solving and as a living resource for programmers preparing for interviews. -
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Practice Python
Part of my daily plan for studying Python
practice-python provides a structured set of small, focused exercises aimed at building fluency with Python fundamentals. The tasks emphasize real coding over passive reading, nudging you to write, run, and iterate on solutions. Exercises commonly target strings, lists, dictionaries, control flow, functions, classes, and common algorithms, reinforcing idiomatic Python patterns. Many problems are intentionally minimal in boilerplate so you can concentrate on logic and clarity. The collection... -
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ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design
The ml-design-patterns repository contains the source code and examples that accompany the book “Machine Learning Design Patterns,” providing practical implementations of reusable solutions for common challenges in machine learning systems. It organizes patterns into categories such as data representation, problem framing, and model training, helping practitioners understand how to structure ML pipelines effectively. The repository includes implementations of techniques like feature hashing, embeddings, feature crosses, and multimodal inputs, which are essential for handling diverse data types. It also covers strategies for improving model performance and robustness, including transfer learning, checkpointing, ensemble methods, and rebalancing techniques for imbalanced datasets. ... -
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EVAlgebra - Clifford algebra calculator
A simple Clifford algebra calculator
...EVAlgebra support space dimension from 1 to 4 with arbitrry signature. It is fully documented at evalgebra.org. You may write your own scripts to resolve specific problem. -
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TSP Solver and Generator
Generate and solve Travelling Salesman Problem tasks
TSPSG is intended to generate and solve Travelling Salesman Problem (TSP) tasks. It uses Branch and Bound method for solving. An input is a number of cities and a matrix of city-to-city travel prices. The matrix can be populated with random values in a given range (useful for generating tasks). The result is an optimal route, its price, step-by-step matrices of solving and solving graph. The task can be saved in internal binary format and opened later. -
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JCSprout
Basic, concurrent algorithm
JCSprout is a curated learning path for Java engineers that mixes concise notes, diagrams, and runnable examples to cover core computer science and JVM topics. It walks readers through data structures and algorithms, networking fundamentals, Java concurrency, JVM memory model and GC, and common interview problem patterns. The repository emphasizes understanding over memorization, linking conceptual summaries with small code artifacts that can be compiled and profiled. It also highlights best practices around collections, thread safety, lock-free techniques, and performance trade-offs so learners can make informed design decisions. The material is structured to support incremental study, making it useful for both foundational learning and pre-interview refreshers. ... -
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500 Lines or Less
Source for the book 500 Lines or Less
500 Lines or Less is the source repository for the fourth book in the Architecture of Open Source Applications series. The project focuses on small but meaningful programs that solve classic software engineering problems in no more than 500 lines of source code. Its goal is to make software design lessons easier to study by using compact, readable examples instead of large production systems. Each chapter walks through design decisions, tradeoffs, module boundaries, interfaces, and extension... -
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Bat2015
Bachelor of Science (Informatik)
The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in... -
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Interactive Web Physics is a Java, Web-based animation and problem designer tool. Anyone can quickly design mathematics or physics animations and simulations that run in a web browser. Unlike other solutions, no knowledge of programming is required.
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simplex with branch and bound
A tool for teaching simplex and branch & bound methods
...For simplex method, it comes with several examples including degeneracy and cycling, and allow the user to dictate how to pivot. For branch and bound method, it is desinged to interact with the user to explore all possible branch and bound trees. The user can also load a problem from a text file or simply type in a model directly. The format is very simple and very similar to the LP format, see the packed-in examples. -
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ExactCalc
Software for exact computing based on interval arithmetic.
...Computation can be arbitrary long and complex but interval arithmetic gives interval that contains exact result of computation. Sometimes is more easy to use numerical unstable algorithm to solve problem. Instability is actually speed of accumulating the truncation error, but it can be decreased arbitrary by using more precise computation. Interval arithmetic provides us control of accumulating truncating error. To save Your time using CPU time this program provides interpreter of simple programming language based on interval algebra with arbitrary precision arithmetic. -
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sudoku Solver
A sudoku solver project built with Java with a user friendly interface
This project has been built to allow you solve any Sudoku problem in no time. The project built using Java programming language. It`s simple interface built using Swing technology. A smart algorithm has been designed to solve your problem. First, using the systematic human way of solving. If the human failed to solve, your problem will be passed to a stronger algorithm that based on Try and Fail techniques and possibilities.
