🚀 Your ultimate GitHub certification destination, offering a rich resource hub for mastering GitHub Foundations, GitHub Actions, GitHub Advanced Security, and GitHub Administration, all in one place

Java Practice & University Work - Contains my university assignments, lab sheets, and personal practice projects written in Java

Practical Computer Networking Book - Master the Net 🕸️

Delphix lab exercises for use with LabAlchemy hands-on labs

Programs for (almost) all lab exercises, semester 6 onwards

Works of all the labs of Computer Architecture. Contains single-cycle, and pipelined ARM architecture verilog code.

⚡ A collection of Digital Logic Design (DLD) lab work and projects 🔌. Includes circuit designs, truth tables, simulations, and practical implementations. Covers core concepts of logic gates, combinational & sequential circuits, and hands-on problem-solving in digital systems.

🚀 A collection of Assembly language lab codes and exercises 🖥️. Covers fundamental concepts, low-level programming, and practical implementations from university labs. Perfect for practicing Assembly basics, understanding hardware-level logic, and sharpening problem-solving skills.

📚 A collection of Programming Fundamentals and Object-Oriented Programming (OOP) codes and projects 💻. Includes lab tasks, assignments, and practice problems covering core programming concepts, data structures, and OOP principles — building a strong foundation in computer science.

⚡ Comprehensive collection of Design & Analysis of Algorithms 🚀 | Includes 🧮 Sorting, 💡 Dynamic Programming, 🎯 Greedy, 🌐 Graph, and 🔤 String Matching | Implemented in ⚙️ C++ with STL | Perfect for 🎓 students & 👨‍💻 developers exploring algorithmic problem-solving ✨

SRMIST Kattankulathur Database management system-18CSC303J lab exercises implemented in SQL

🐔 A collection of Programming 3 lab projects from the third semester at Howest DAE (2023). Focused on modern C++ practices, hardware-efficient programming, and deeper system-level understanding through TDD, STL algorithms, and Win32 fundamentals.

These are the experiments given in Internet Programming Laboratory.

Hands-on lab exercises for learning NoSQL databases (MongoDB) with sample datasets, CRUD operations, and practical examples

ESC101 IIT Kanpur Lab Assignment Solutions

🦖 A collection of Programming 4 lab projects from the fourth semester at Howest DAE (2024). Focused on software and game programming patterns, modular code architecture, and advanced C++ memory and design practices — bridging the gap between academic projects and professional game development.

🛠️ A DAE course focused on building production tools with C#, .NET, and WPF to optimize workflows and assist artists. Includes labs (master) and final exam (exam branch).

COMPUTER NETWORKS AWS Platform all week codes

Advance Programming Practice lab experiments implemented in python

NLP lab exercises done during semester 7 of college.

🥚 A collection of Programming 1 lab exercises from the first semester at Howest DAE (2022). Includes weekly projects built during the learning process, showcasing fundamentals of C++ programming, 2D rendering, and game framework basics.

Repository of R code for all lab exercises in the book "An Introduction to Statistical Learning"

Collection of lab exercises and solutions for the 2301365 Algorithm Lab course

A collection of simulations and associated worksheets intended to replace traditional lab exercises.

A collection of C++ assignments and lab exercises covering fundamental data structures and algorithms, designed to reinforce practical understanding through hands-on coding.

🤖 Template repository for the GitHub Actions lecture in the Software Engineering course at Howest DAE. Includes a minimal workflow example for CI/CD automation.

🐣 A collection of Programming 2 lab projects from the second semester at Howest DAE (2023). Focused on advanced C++ concepts, OpenGL rendering, and foundational 3D programming techniques — bridging the gap between core programming and applied game technology.

Collection of fiber-reinforced concrete specimen files (IGES, CAD) imported into Abaqus, designed as examples for learning.

Contains lab exercises for deep learning using TensorFlow and Keras done in semester 6 of college.

Flutter mobile app lab exercises done in semester 5 of college. Everything written in Dart.