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Showing 64 open source projects for "problem a"
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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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...The structure supports incremental learning, allowing you to test your understanding, compare against expected outcomes, and iterate until styles match the intended result. While solutions exist, the guidance emphasizes problem solving with docs, search, and experimentation before peeking, cultivating independent debugging skills and confidence with CSS.
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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 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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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. -
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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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AWESOME DATA SCIENCE
Awesome Data Science repository to learn and apply for real world
...Data scientists combine entrepreneurship with patience, the willingness to build data products incrementally, the ability to explore, and the ability to iterate over a solution. They are inherently interdisciplinary. They can tackle all aspects of a problem, from initial data collection and data conditioning to drawing conclusions. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Coding Interview University
A complete computer science study plan to become a software engineer
Coding Interview University is a multi-month self-study plan that grew from a short personal to-do list into a comprehensive roadmap for preparing technical interviews at large software companies. The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. The repository focuses on practical readiness over memorization, guiding you to learn core computer science topics to about... -
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Open Source Vizier
Python-based research interface for blackbox
...Defines abstractions and utilities for implementing new optimization algorithms for research and to be hosted in the service. A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. Setup a local server, setup a client to connect to the server, perform a typical tuning loop, and use other client APIs. -
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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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Fen2Pdf
Tool for chess teachers to create PDF files with chess diagrams in it
Tool for chess teachers to create PDF files with chess diagrams in it. 1) Create a pgn file with chess diagrams (FEN notation) in it (e.g by using lichess) 2) Open the Fen2Pdf and select the folder containing the pgn(s) 3) Click start. Fen2Pdf detects the pgn files in it and creates a pdf file You can now print this file and hand the exercises over to your students Extra features: * Mirror the positions. This is handy if you want the same problems presented for the other color... -
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StudXY --> CramX
AI-Powered Study Suite for Smarter Learning & Better Grades
...It combines advanced AI tools for essay writing, homework help, plagiarism checking, flashcard generation, and test preparation — all within a clean, distraction-free interface. ✍️ AI Writer – Create essays and research papers with real citations. 🧮 AI Homework Helper – Get step-by-step problem solutions. 📄 Document Chat – Upload and chat with your notes or PDFs. 🧠 Flashcard Generator – Turn notes into study flashcards instantly. 📝 AI Test Prep – Generate quizzes tailored to your topics. 🔍 Plagiarism Checker & AI Detector – Maintain originality and academic integrity. CramX is lightweight, ad-free, and privacy-focused — available for Windows, Android, and Web. -
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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. -
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JQM Java Quine McCluskey
JQM - Java Quine McCluskey for minimization of Boolean functions.
Java Quine McCluskey (JQM) implements the Quine-McCluskey algorithm with Petrick’s Method for minimizing Boolean functions. Designed for both education and industrial application, it handles up to 16 variables and functions. Uniquely, JQM bridges the gap between theory and practice: it visualizes the solution process with generated Karnaugh Maps for students, while supporting PLC engineers by exporting results to Structured Text (ST) and Ladder Diagram (LD). The software includes a GUI for... -
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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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Frevo
Frevo is probably the simplest tool for evolutionary design
FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks. The major feature of FREVO is the componentwise decomposition and separation of the key building blocks for each optimization tasks. We identify these as the problem definition, solution representation and the optimization method. This structure enables the components to be designed separately allowing the user to easily swap and evaluate different configurations and methods or to connect an external simulation tool. The latest version in development is hosted at https://github.com/smartgrids-aau/Frevo -
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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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Python Mastery (Course)
Advanced Python Mastery
python-mastery is a collection of course materials created by David Beazley for teaching advanced Python programming concepts. It emphasizes deep understanding through real-world coding exercises and topics like generators, decorators, closures, and metaclasses. The repository is designed for learners who already know the basics of Python and want to push their skills to an expert level. -
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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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AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional allennlp subcommands. ... -
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Data Structures and Algorithms in JS
Data Structures and Algorithms explained and implemented in JavaScript
...Improve your problem-solving skills and become a stronger developer by understanding fundamental computer science concepts.
