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Whether you're looking to build confidence in math or dive into the world of computer programming, I offer engaging, student-centered lessons that make learning fun, practical, and memorable. 🔢 Math Tutoring & Test Prep I help students understand math by connecting it to real-world projects, visual patterns, and logical thinking—whether you're working on school coursework, SAT test prep, or just want to improve your number sense. My teaching style adapts to your learning goals, with plenty of interactive challenges, step-by-step strategies, and tools for mastering core concepts. 💻 Computer Programming I teach computer science at an international school and love helping students of all levels: Beginners can explore block-based coding with Scratch to build games and animations. Intermediate and advanced students can learn to create custom Google Add-ons for Docs, Sheets, or Slides using JavaScript (Apps Script). For those interested in Python, I guide learners through projects in Google Colaboratory, where they can write code, analyze data, or experiment with AI tools. I specialize in using AI to support personalized learning, helping each student meet their goals efficiently and creatively. Whether you're preparing for exams or pursuing a passion project, I’ll help you stay motivated and make real progress.

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Welcome Student, As a graduate of the Bachelor's program in Mathematics and Computer Science and the Master's program in Mathematics, I've noticed that many students struggle with many subjects. These are often also the most crucial for their progress, as many future courses build on them. If you're a Bachelor's student facing the same challenge, you've come to the right place. We'll review the material together and work towards your exams, so you can confidently take them. From a 'birds-eye view', many of these courses clearly have specific types of assignments that you must be able to pass your exam. We pick out these kinds of assignments and we will train you together in order to master them. In addition, we will counteract your weaknesses by going through assignments and theory about it. To give you a clear idea of which courses I've taken and how I can help you, I've included a list of my completed university courses below (all with a grade of 7 or higher). Note that I studied in Utrecht myself, so your courses may be titled differently. Math - Proofs in Mathematics - Infinitesimal Calculation and Linear Algebra 1 - Introduction to Probability Theory and Statistics - Infinitesimal Calculation and Linear Algebra 2 - Analysis - Introduction to Geometry - Introduction Groups and Rings - Introduction Analysis in More Variables - Introduction to Topology - Functions and Sequences - Discrete Mathematics - Topology and Geometry - Introduction to Scientific Computing - Analysis in More Variables - Differentiable Varieties - Groups, Modules and Shows - Thesis Computer science - Computer architecture and Networks - Imperative Programming - Functional Programming (Haskell) - Introduction Project - Databases - Data structures Graphics - Optimization and Complexity - Languages and Compilers - Competition - Modeling and System Development - Software Testing and Verification - Image processing - Software project If you are not sure if I can help you, you can always send me a message! Sam

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Python is extensively used in almost all area of IT development. Python is present and future for any IT programmer. I focused following area while teaching python. Learn easy programming in Python Discover the many application possibilities of Python Develop professional applications with Python Programming projects quickly and effectively Save time and cost with Python

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21Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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1Students

I offer one-to-one Programming tuition in Python, C, and C++, for GCSE Computer Science, A-Level Computing, and university students studying engineering, computer science, or related subjects. Lessons are available online or in person around Birmingham. What I cover: Python for beginners and intermediate learners C and C++ programming GCSE and A-Level Computer Science (all exam boards) University coursework support, debugging help, and project guidance Core concepts: variables, loops, functions, data structures, object-oriented programming, file handling, basic algorithms How I teach: I start by understanding exactly where you are — whether that's "I've never coded before" or "I'm stuck on a specific assignment." Then I build lessons around small, practical examples you can actually run and modify yourself. I'm patient with errors (everyone gets them), and I make sure you understand the why behind the code, not just how to copy it. For university students, I can also help with debugging, code reviews, and explaining tricky concepts in plain English. If you or your child is preparing for exams, working on coursework, or just wants to finally feel comfortable with coding, I'd love to help.

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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️. Object-Oriented Programming is often perceived as complex or abstract. My goal is simple: to make it logical, concrete, and immediately applicable. 🎯 Training Objectives Upon completion of this training, you will be able to: Understanding what Object-Oriented Programming really is (and when to use it) Create and manipulate objects in JavaScript in a clean and efficient way Use ES6 classes, constructors, and methods with confidence Mastering this, the prototype, and the instantiation logic Apply encapsulation, inheritance, and polymorphism without confusion Avoiding common mistakes made by OOP beginners Structure your JavaScript code like a professional developer 📖 Training Plan – Object-Oriented Programming in JavaScript 1. Introduction to Object-Oriented Programming 🧠 Understanding the concept, objectives and benefits of OOP. 2. Procedural Programming vs. OOP Why unstructured code quickly becomes unmanageable. 3. Objects in JavaScript Properties, methods and representation of the real world. 4. The keyword this Understanding the execution context (often poorly understood). 5. Limitations of simple objects Why duplicating code is a bad idea. 6. Constructive functions Create multiple objects from the same model. 7. The keyword new What it's actually doing under the hood. 8. The prototype Sharing methods and memory optimization. 9. ES6 Classes Modern syntax and best practices. 10. The builder Proper initialization of objects. 11. Data Encapsulation Protect the internal state of objects. 12. Inheritance between classes Reusing code intelligently. 13. The keyword super Communication between parent and child in the classroom. 14. Polymorphism The same behavior, several forms. 15. Composition vs. Inheritance Choosing the right architecture. 16. Best practices in OOP Write readable, scalable, and maintainable code. 17. Common mistakes made by beginners Pitfalls to absolutely avoid. 18. Guided practical exercise Creation of a concrete class (product, user, etc.). 19. Assessment Quiz (Multiple Choice Questions) To validate the actual understanding of the concepts. 🛠️ Teaching method: Understand before writing This training program is based on a progressive and pragmatic approach: Clear and illustrated explanations Concrete examples from real projects Simple but effective exercises Constant questioning to avoid rote learning Adaptation to the learner's level and pace Here, we don't "recite OOP" — we understand it. 🚀 Learner's result At the end of the training, you will not only know how to write a JavaScript class. You will know: 1- Why does it exist? 2- When to use it 3- and when not to use it You will leave with: a solid understanding of OOP a cleaner and more professional code an ideal foundation for learning React, Node.js or any other modern framework