Mathematics, Python, Networking and Cybersecurity.

I offer an introductory course in Python Data Science. Participants will learn at their own pace and benefit from the expertise and teaching skills of a teacher with a PhD in computer science. The course will guide participants through the basics of the Python programming language and the main Python modules dedicated to data analysis and visualization, particularly NumPy, Matplotlib, Pandas, and Seaborn. The course is divided into 32 sessions, each session lasting 1 hour. At the end of the course, participants will master the fundamental concepts of Python Data Science.

Start with the fundamentals like variables, loops, and conditionals, and progress to more advanced concepts including manipulating files, images, and using Python libraries like Numpy, Scipy, Pandas, and Matplotlib. Also explore the fundamentals of object-oriented programming. Why choose this Course? By opting for these courses, you will have the opportunity to consolidate your knowledge through practical exercises and concrete mini-projects which will strengthen your Python skills. Each session will be interactive, allowing you to ask questions and receive constructive feedback on your code. You will be able to benefit from personalized support. Lessons are tailored to your level, whether you're looking to pursue a career in programming or just want to learn for fun. Sessions are tailored to your goals, and ongoing support is provided to overcome any challenges you may encounter.

Python is the perfect programming language to get started in the field. Learning programming isn't just for people looking to make a career out of it. Learning to program can help you better understand the computer world, and will give you an open mind that can only be beneficial, regardless of your area of expertise. It would be an honor for me, a student in electrical and computer engineering, to introduce as many people as possible to this practice, which will allow you to see problem solving from another mathematical and Cartesian perspective. I offer courses online as well as in person, for all ages and all profiles.

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.

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.

Code Your Ideas Into Reality 💻🚀 Want to build your own website or start a tech career? This class is perfect for absolute beginners who want to learn Python and use it to build real, working web apps with Django. You'll go from writing your first line of code to deploying complete projects - step by step, clearly explained, and handsOn. ✨ No experience needed. 🧠 Learn by doing - real apps, real logic. 🌍 Build skills for school, work, or freelance life. Let’s turn your curiosity into code. First session gets you started!

This course is designed to equip you with the essential Python skills needed to excel in data science. You will learn how to work with industry-standard libraries such as NumPy, pandas, and Matplotlib to analyze, clean, and visualize data effectively. Through hands-on projects and real-world examples, you’ll gain the ability to transform raw data into meaningful insights and compelling stories. By the end of the program, you’ll not only master the fundamentals of Python for data science but also develop practical skills that are highly valued in today’s data-driven world.

This course is for anyone who wants to learn to program in Python, whether you are a student, a professional, or simply curious. Python is one of the most widely used languages today, thanks to its simplicity and power. You'll learn how to write your first programs, manipulate data, automate tasks, and understand the essential foundations of modern programming. The objective is to make you independent in developing your own projects (scripts, small software, data analysis, etc.) and acquire a skill sought after in the academic and professional world.

In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments. Contact me if you want to have more information about the course!

Computer Science is more than just code—it's the foundation of innovation in today's world. In this comprehensive live class, I’ll guide you through everything from the basics of Computer Science to Object Oriented Programming (OOP), Data Structures & Algorithms (DSA), and advanced computing concepts. We’ll cover: Core Programming Languages: Python, C, C++, Java, JavaScript, and more AP Computer Science Preparation Hands-on Project Development Artificial Intelligence, Data Science & Machine Learning I can teach in my own structured style or fully adapt to your preferred curriculum, pace, and goals—whatever helps you learn best. Whether it’s exam prep or real-world projects, we’ll build your Computer Science skills your way.

We are a team of engineers passionate about programming. We offer Python tutoring courses suitable for all levels (beginners, advanced students, CPGE students, or anyone looking to develop their skills). Our courses combine essential foundations, practical examples and clear teaching to ensure solid and useful progress for both studies and careers.

Start your journey into the world of Python programming with this hands-on, beginner-friendly course and also for expert level. Whether you're completely new to coding or looking to expand your skills, this course will guide you through the core concepts of Python — from variables and data types to control structures, functions, and lists. As you build a strong foundation in programming, you'll also dive into the powerful data analysis capabilities of Python using popular libraries like Pandas and NumPy . Learn how to clean, process, and analyze real-world data sets to extract meaningful insights. Next, bring your data to life with stunning visualizations using Matplotlib and Seaborn , two of the most widely used data visualization libraries in Python. Finally, take your skills to the next level by building your own web applications using either Flask or Django — two of Python’s most popular web frameworks. By the end of this course, you’ll have a well-rounded understanding of Python programming, data manipulation, visualization, and web development — empowering you to create real-world projects and pursue further specializations.

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 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! ---

A lot of people are taking the shortcut of asking ChatGTP to code for them. Nothing wrong with that although this is typically not industry standard code and you do need to know the basics to be able to catch the small errors. As a lot of my code ended up in production, I would like to explain to you the hard lessons I learnt along the way and help you become a better developer!