Private Lessons in Python Programming Language (Beginner to Advanced)

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.

🚀 Learn Python and Django to Build Powerful Applications 🚀 Want to master Python and develop real-world web applications with Django? Whether you're a beginner or looking to enhance your coding skills, this course will guide you step by step! What You’ll Learn: ✅ Python Basics & Advanced Concepts – Learn syntax, data structures, OOP, and algorithms ✅ Django Framework – Build dynamic and scalable web applications ✅ Databases & APIs – Work with PostgreSQL, SQLite, and REST APIs ✅ Project-Based Learning – Apply concepts through hands-on coding and real projects ✅ Debugging & Best Practices – Learn clean coding principles and error handling 🔹 Who is this course for? Complete beginners who want to start coding with Python Developers looking to transition into backend or full-stack development Students and professionals who want to build their own web applications 💻 Class Format: - Live online sessions via Google Meet - Interactive coding exercises & projects - Personalized guidance based on your level 📩 Contact me to start your Python & Django journey today!

Data analysis is a valuable skill for students in many fields, from business and science to social studies. As a student, you'll need to understand how to collect, organize, and interpret data to support your research, class projects, or future career goals. I’ve designed this course as a hands-on introduction to data analysis that's made specifically for students. You’ll learn how to use tools like Excel, Google Sheets, and basic Python to clean data, create charts and graphs, and draw meaningful conclusions from real datasets. This class will help you build strong analytical skills that will not only boost your academic performance but also prepare you for data-driven world.

What You Will Learn: Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation. Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis. Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio. How You Will Benefit: Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career. Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance. Professionals: Enhance your skill set to meet industry demands and open up new career opportunities. Why Choose My Courses?: Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support. Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding. Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.

This course provides a hands-on approach to mastering Apache Airflow, a powerful open-source workflow automation tool widely used in ETL (Extract, Transform, Load) processes. You will learn how to build, schedule, monitor, and optimize data pipelines, ensuring data reliability and efficiency in production environments. Through real-world examples and projects, you will gain the skills required to become a proficient Data Engineer capable of handling complex workflows in modern data ecosystems. This course will allow you to build multiple real-world ETL workflows using Apache Airflow. Let me know if you would like additional information! 🚀

With a PhD in Physics and over 15 years of teaching experience, I offer advanced and engaging physics classes tailored to a wide range of learners. My background includes the publication of more than 30 research papers, reflecting a deep expertise in the subject. I incorporate modern tools such as Python, GeoGebra, and other advanced educational technologies to enhance conceptual understanding and problem-solving skills. My teaching approach blends theoretical rigor with interactive, tech-supported learning to help students grasp complex concepts effectively and confidently.

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.

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.

This course offers a progressive introduction to algorithmic thinking and Python programming. Through clear explanations, concrete examples, and practical exercises, learners will discover how to analyze a problem, design an efficient algorithm, and then translate it into Python code. No prior programming experience is required: this course is aimed at beginners who are curious to learn to code by solving problems in a logical and structured way.

This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding. Online Course: Introduction to Python - Programming Basics and Simple Applications Duration : - 60 minutes: intensive format to learn fundamental concepts. - 90 minutes: In-depth format with more time for practical examples and interactive questions. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops. 2. Write and run simple Python scripts. 3. Manipulate inputs and outputs to interact with the user. 4. Solve practical problems with short, functional programs. --- Course syllabus 1. Introduction (10-15 min) - Presentation of Python: Why this language? - Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook). - First program: *"Hello, World!"*. 2. Python Basics (20-30 min) - Variables and data types (integers, strings, lists). - Mathematical operations and data manipulation. - Conditional structures (if/else) and loops (for/while). 3. Practical exercises (20-35 min) - Write a program to calculate the sum of two numbers provided by the user. - Create a simple application, like a currency converter or password generator. - Bonus for 90 min format: Fixed a more complex issue involving lists or loops. 4. Q&A and conclusion (5-10 min) - Summary of the concepts covered. - Suggestions for resources to continue learning. - Feedback on the course. --- Teaching methodology - Interactive and engaging: the course combines theoretical explanations with practical exercises. - Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time. - Learning by doing: examples and exercises are designed to help you assimilate concepts quickly. --- Target audience This course is ideal for: - Complete beginners in programming. - Students or professionals wishing to acquire skills in Python for their personal or professional projects. - Anyone curious to discover a powerful and versatile tool for solving problems. --- Benefits of this online course - Teaching by an experienced and passionate trainer. - Interactive sessions adapted to your learning pace. - Access to educational materials and exercises to continue practicing after the course. Join us now to discover programming and its applications using Python! ---

This class is specifically designed for children aged 8 to 13 who want to develop their logical and analytical skills and become expert coders in the future! The lessons will be taught based on the learning ability and understanding level of school children in this age group. We will cover all fundamental coding concepts that will help strengthen your logical thinking.

Python is easier to learn and understand than other programming languages. Its instructions are simple and easily readable with a clean syntax which doesn't really involve complex coding. However simple and easy to learn, Python can be used to create the highly interactive programs. This course aims to engage learners with little or even no previous programming experience. The programme for beginners starts with an introduction to the basic fundamentals of Python (expressions, conditionals, and functions). Then, as the course progresses, learners will be able to combine Python commands and modules like Pygame, Matplotlib, Numpy and Tkinter to implement their ideas and develop skills like computational thinking, creativity and problem solving. The content and pace of the course is adapted to the age and needs of the learners.

The "Algorithms in Python" course is designed to teach you the fundamentals and advanced concepts of algorithms using the Python language. You will discover fundamental data structures, programming paradigms (iterative, recursive, divide and conquer, dynamic programming), and learn how to efficiently solve algorithmic problems. Through practical exercises and projects, you will develop essential skills for analyzing and optimizing algorithms, while improving your programming logic.

Are you looking to deepen your knowledge of physics or master advanced techniques in Python programming? This course is designed to help you achieve a level of academic and technical excellence, whether you are a high school student, university student or professional looking to develop your skills. With an interactive and effective teaching approach, you will benefit from personalized support to overcome obstacles, grasp complex concepts and improve your performance. Whether it is to succeed in difficult exams, high-level competitions or to create powerful applications in Python, this course will provide you with all the tools necessary to achieve your goals. 🎯 Why Choose This Course? Advanced and Expertise Level: In-depth content and effective methodology to master complex topics in physics and programming. Personalized Courses: Sessions adapted to your needs, your pace and your level. Interactive Online Learning: Dynamic online courses with screen sharing and audio interaction for enjoyable and engaging learning. Concrete Projects and Practical Applications: Development of practical projects to implement theoretical concepts. Intensive Preparation for Exams and Competitions: Rigorous training with complex exercises and exam simulations to guarantee your success. Flexibility and Comfort: Learn from home, according to your schedule, without having to travel. 🔬 Advanced Physics – From High School to University This module offers a complete and in-depth program to prepare you for demanding secondary school exams, preparatory classes and scientific university courses: 1. Secondary Physics (High School and Preparatory Classes) ⚙️ Classical Mechanics: Kinematics, dynamics, Newton's laws, energy and work, oscillations. 🌊 Waves and Vibrations: Wave propagation, interference, diffraction, acoustics. ⚡ Electricity and Magnetism: Electric circuits, electrostatics, magnetostatics, electromagnetic induction. 🔦 Optics: Geometric optics (lenses, mirrors), wave optics (interference, diffraction). 🌡️ Thermodynamics: Laws of thermodynamics, thermodynamic cycles, entropy, changes of state. 2. University and Advanced Physics 🔄 Analytical Mechanics: Lagrangian, Hamiltonian, and generalized coordinates. 🌐 Advanced Electromagnetism: Maxwell's equations and the propagation of electromagnetic waves. 🧪 Quantum Physics: The postulates of quantum mechanics, the wave function, and the Schrödinger equation. ☢️ Nuclear and Particle Physics: The structure of the nucleus, radioactivity, and fundamental interactions. 🌌 Special Relativity: Lorentz transformations, time dilation, and length contraction. 3. Intensive Preparation for Exams and Competitions 📘 Scientific methodology: Learn to analyze statements, structure responses and write clearly and precisely. 📝 Application exercises and past papers: Intensive training to master the concepts and pass your exams. 🔎 Solve complex problems with detailed explanations and effective strategies. ⏰ Time management: Practical tips to improve your time management during exams. 🐍 Advanced Python Programming – Focused on Efficiency This module will teach you how to program efficiently and effectively in Python, with an emphasis on best practices and advanced techniques: 1. Mastering Advanced Concepts in Python 🔠 Advanced Syntax and Best Practices: Deepening of Python concepts. 📦 Object-Oriented Programming (OOP): Abstract classes, interfaces, and design patterns in Python. 🔄 Functional Programming: Using lambda, map, filter, reduce, generators and iterators. ⚡ Asynchronous Programming: Implementing asyncio for fast and responsive applications. 🧪 Unit Testing and Code Quality: Use of pytest, code coverage, and CI/CD. 2. Performance Optimization 🚀 Algorithm Optimization: Analysis of algorithmic complexity and use of efficient data structures. ⚙️ Profiling and Debugging: Performance evaluation with cProfile and code improvement. 🔒 Security and Robustness: Writing secure code and handling exceptions appropriately. 3. Practical Projects and Advanced Applications 🌐 Web Applications: Building high-performance web applications using Flask and FastAPI. 📊 Data Science and Machine Learning: Exploitation of Pandas, NumPy, Scikit-learn and TensorFlow. 🕸️ Advanced Web Scraping: Complex data extraction using BeautifulSoup and Selenium. 🤖 Automation and Efficient Scripts: Automation of tasks and development of efficient scripts. 🧑‍🏫 Methodology and Pedagogical Approach: Learning by doing: Each theoretical concept is directly implemented through practical exercises. Interactive Online Teaching: Using audio and screen sharing for seamless communication and dynamic learning. Personalized monitoring: Regular support to assess your progress and answer all your questions. Concrete projects: Development of complete projects to apply your programming skills. Motivation and Confidence: A positive and encouraging approach to build your confidence in your abilities. 🎓 For whom? This course is intended for: - High school and preparatory class students who aspire to academic excellence. - University students in science and computer science wishing to deepen their knowledge. - Candidates for scientific competitions who are preparing for physics and programming tests. - Developers looking to improve their advanced Python skills. - Researchers and engineers who use Python for complex scientific applications. 🔔 Register now! Don't miss the opportunity to master advanced physics while developing skills in optimized and efficient Python. Join our program "🚀 Advanced Courses - 🔬 Physics from High School to University & 🐍 Advanced Python Programming Focused on Efficiency!" and progress at your own pace with confidence and motivation!

When you choose me as your Python mentor, you're choosing quality, expertise, and a personalized learning experience that you won't find elsewhere. I focus on making learning engaging, effective, and tailored to your needs, helping you achieve your programming goals faster and with confidence. Why Work With Me? - Python Help: I make tricky topics easy and teach you to build amazing projects. - Exam Support: Get clear guidance to ace your tests and finish assignments faster.