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Computer programming lessons in Molenbeek‑Saint‑Jean

Find your perfect private computer programming tutor in Molenbeek‑Saint‑Jean.
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49 computer programming teachers in Molenbeek‑Saint‑Jean

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49 computer programming teachers in Molenbeek‑Saint‑Jean

Trusted teacher: Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Digital electronics Analog electronic electromagnetism (propagation of high frequency waves) Automatic (continuous, sampled) electrical engineering (transformers, electrical machines, switching power supply) C / c ++ programming, Assembler, ARM, STM32 renewable energy (wind, PV) engineering Sciences RDM Python,VHDL PIC Microprocessor and Microcontroller Signal processing and data acquisition Engineering Sciences These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes. COURSE OBJECTIVES AND PEDAGOGICAL APPROACH Resumption and deepening of fundamental concepts through exercises with course reminders. Put the student in a situation of questioning and research. Respond to individual issues and questions Exercise training in order to achieve real mastery of the content. Learn to build theoretical reasoning from observable facts or hypotheses. Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background) This educational approach is effective since it has often led me to interesting results with my students. Associate professor provides support courses in electrical engineering
Computer programming · Electronic circuits · Electrical engineering
(7 reviews)
Join - Brussels27€
Trusted teacher: Personalized Tutoring for Learning Coding and Programming in Python This online tutoring program is designed to provide you with personalized learning in computer programming with the Python language. Whether you are a complete beginner, a student looking to deepen your knowledge, or a professional eager to master Python, this course adapts to your level and specific needs. By covering the fundamentals of programming, advanced data structures, and complex problem solving, this tutoring will help you acquire the skills needed to excel in software development, data analysis, and artificial intelligence. --- Why choose this program? - Personalized approach: Each session is perfectly adapted to your specific needs and your learning pace. You have the opportunity to ask questions at any time and benefit from personalized follow-up between each session. - Interactive methodology: Practical learning with concrete exercises, case studies and real projects to allow you to directly apply theoretical concepts. - Flexibility of formats: Choose between 60, 90 or 120 minute classes depending on your goals and schedule. - Practice-oriented course: Programming is a field that is learned by doing, each course includes a large part of practice to consolidate the acquired knowledge. --- Course content: Beginner level: 1. Introduction to Python: - Basic syntax, data types (integers, strings, lists, dictionaries, etc.). - Control structures: conditions (if, else), loops (for, while). - Functions and arguments: creation and use of functions. 2. Object-oriented programming (OOP): - Introduction to OOP: classes, objects, attributes and methods. - Encapsulation, inheritance, polymorphism and abstraction. - Implementation of OOP in simple projects. 3. Introduction to file management: - Reading and writing text and CSV files. - Data manipulation for real applications. --- Intermediate level: 1. Advanced data structures: - Advanced lists, stacks, queues and dictionaries. - Algorithm concepts: sorting, searching, algorithmic complexity. - Use of Python libraries: NumPy, Pandas for data manipulation. 2. Error and exception handling: - Introduction to exceptions and error handling in Python. - Creation of custom error messages and handling of common exceptions. 3. Practical projects: - Development of medium-sized projects, such as simple games or data management applications. - Solving real-world problems, such as analyzing data from external files. --- Advanced level: 1. Advanced Libraries and Practical Applications: - Introduction to libraries for web development (Flask, Django) and data analysis (Matplotlib, Seaborn). - Applications of Python in artificial intelligence and machine learning with libraries like TensorFlow or scikit-learn. - Implementation of complex projects using data analysis and visualization tools. 2. Code optimization: - Techniques to improve the performance of Python code. - Memory management and algorithm optimization. 3. Advanced projects: - Development of complex projects in Python such as web applications, data analysis or large-scale data processing tools. --- Course schedule: - 60 minutes: Ideal for tackling a specific topic, working on an exercise or exploring a concept in a targeted manner. - 90 minutes: Allows for a more in-depth exploration of concepts, with concrete examples and interactive exercises. - 120 minutes: Intensive format for revisions, completing complete projects or studying more advanced concepts. Each session includes: 1. Theoretical introduction: Quick review of key concepts or introduction to new topics. 2. Live Practice: Applying concepts with exercises or code in real time, allowing for active learning. 3. Projects: Construction of real projects to put into practice the knowledge acquired. 4. Questions and answers: Time dedicated to clarifying difficult points or problems encountered during the session. --- Resources and tools provided: - Teaching materials: Detailed course documents, practical exercises, projects to complete. - Interactive platform: Use of digital whiteboards, screen sharing to visualize code, and real-time collaboration tools. - Personalized monitoring: You can ask questions outside of class, receive feedback on your projects and benefit from progress monitoring. --- About the trainer: A Python programming expert with several years of experience in teaching and practicing software development. With clear and practice-oriented pedagogy, the trainer will help you move from beginner to intermediate or improve your skills if you are already familiar with the Python language. --- Book your course now! If you want to learn Python programming in an efficient, flexible and practical way, this tutorial is for you. Sign up today to start coding with confidence and progress quickly!
Python · Computer programming · Algorithms
(3 reviews)
Melih - Brussels36€
Computer programming
Trusted teacher: Are you having trouble with your programming classes? Have you always been intrigued by programming, but don't you dare take the plunge on your own? Do you already have basic knowledge, but want to improve your level? So I can help you with your goals. I adapt to your individual needs and experience level. With 10 years of scientific research and holder of a doctorate in Geographical Sciences from the Free University of Brussels, I have been using Python for several years for the automation of data collection and processing, in particular the processing of satellite images with Machine Learning and Deep Learning tools. Why Python and not another programming language? • Among the various programming languages, it is probably the one with the simplest and easiest to understand syntax, which makes it an ideal language for beginners. • It is one of the most popular programming languages and the demand for professionals with Python skills is high. Many industries, including technology, finance, and healthcare use Python extensively. • It is a versatile language that can be used for many applications like scientific computing, data analysis, artificial intelligence, etc. Different formulas are possible: • Help with success for students having difficulties with their programming courses. • For people with basic knowledge of Python: ◦ Take it to the next level with object-oriented programming. ◦ Introduction to the highly sought-after field of Data Science Data with Python
Numerical analysis · Python · Computer programming
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Our students from Molenbeek‑Saint‑Jean evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Molenbeek‑Saint‑Jean to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 57 reviews.

Computer Science Subjects and Projects : Operating Systems, Algorithms, Data Structures, Database Management System and Computer Networks. (Tokyo)
Himank
He is a great instructor, I have already had a few lessons and will continue to have lessons with him weekly. He explains everything in a way that is easy to understand and he gives you actual exercises that you can use in real life when it comes to programming. I highly recommend hiring him.
Review by DANIEL
Math tutoring for high school students (Dubai)
Salah Eddine
Salah is an exceptional Math teacher! Although it was a short notice, yet he was very much considerate of our tight schedule and made time to prepare me for the assessment! Thanks, Salah for your outstanding teaching approach. I very much recommend Salah as your Math Teacher!
Review by NADIN
Violin lessons for beginners! The beauty of Violin! (Papagou)
Alex
Alex is really good at teaching. Also with his friendly attitude, he can easily bond with the student and make them more into the violin. I can recommend Alex to all who consider taking lessons from him.
Review by EEE