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💻 Introduction to Python and Algorithmic Programming Full title: Python programming and introduction to algorithms for beginners and high school students (high school & university level) (100% distance learning — for high school students, college students, beginners or adults retraining) Programming is an essential skill today, whether for studies, personal projects, or the professional world. But when you're just starting out, it's easy to feel lost when faced with seemingly complex lines of code or computer logic. That's where I come in! With a progressive, caring, and structured approach, I help students get to grips with Python—one of the most accessible and powerful languages—while discovering the basics of algorithms in a simple and concrete way. My goal is to transform the apprehension of coding into curiosity and joy of learning, and to lay solid foundations so that each student progresses with confidence. 🎯 Course objectives Learn the fundamentals of Python programming from scratch. Develop logical and algorithmic reflexes. Understand and build simple but useful programs. Inspire a taste for programming through accessible and concrete projects. 📚 Course content ✔ Python Basics – Syntax, indentation, comments – Variables, data types (numbers, strings, lists...) – Conditions (if, elif, else) – Loops (for, while) – Simple functions – Notions of modules and libraries ✔ Algorithms for beginners – Understand what an algorithm is – Writing in pseudo-code and Python – Sorting algorithms (bubble sort, insertion sort, etc.) – Searching for items in a list – Getting Started with Recursion – Simple optimization and complexity ✔ First practical projects – Creation of mini-games (e.g.: guess the number, rock-paper-scissors) – Simple calculator or unit converter – Automation of basic tasks (for example: automatic sorting of a list of students) – Small personalized projects based on the student’s interests 🧭 How the sessions work 1️⃣ Assessment of level and objectives (complete initiation, reinforcement, preparation for a competition or a project). 2️⃣ Tailor-made progression plan, with concepts covered step by step. 3️⃣ Alternating theory/practice to quickly develop autonomy. 4️⃣ Exercises, mini-challenges and projects to apply each concept learned. 5️⃣ Corrections and detailed explanations for each difficulty encountered. 6️⃣ Personalized monitoring, with regular assessments and continuous adaptation of the pace. 🌍 100% online courses – modern and adapted teaching methods Sessions via Zoom, Google Meet, or any other tool of your choice Interactive materials provided after each session: annotated codes, PDF files, exercises, tutorials Flexible hours, compatible with busy schedules and time differences (ideal for students living in the Gulf countries or elsewhere) Possibility of individual or small group lessons (siblings, classmates, etc.) 👨‍🎓 For whom? High school students or students in a technology/science stream wishing to prepare for higher education Students at the beginning of a computer science or science course Adults in professional retraining, curious to learn to code Complete beginners wishing to develop their digital skills With me, you'll learn to think like a programmer, not just copy code. You'll gain logic, rigor, and autonomy—valuable assets for the future. If you have any questions or would like to discuss the most suitable path, please do not hesitate to contact me. I am here to guide you with enthusiasm and kindness.

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Interactive Physics and Mathematics Lessons. Edexcel, Cambridge and AQA curriculum can be covered. I teach Undergraduate Mechanical Engineering students at the King Fahd University of Petroleum and Minerals. I have mentored many students at College and University level.

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21Students

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples. Topics include: pyRevit fundamentals and setup Automating repetitive Revit tasks (model checks, plan generation, data extraction) Writing custom scripts for your firm's specific workflows Applying Python automation to real MEP/BIM projects

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13Students

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it? This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio). What we cover, adapted to your level and goals: - Descriptive and inferential statistics (the ones that actually matter) - Data cleaning, exploration, and visualization - Regression, classification, and intro to machine learning - Time series and forecasting basics - R for statistical analysis and academic research Who this is for: - University students in statistics, economics, engineering, or biology - Professionals wanting to move into data analysis or data science - Researchers who need to process and present data properly I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

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6Students

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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5Students

Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

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1Students

I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English. I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work. Who this is for Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos. I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it. What we cover Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation. How lessons work Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic. In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions. Practical details Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe. Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.