Support, school and university level: Areas covered: 1. Introduction to Python Programming Language basics, best practices, problem-solving. 2. Data Structures and Algorithms Lists, dictionaries, trees, complexity and performance. 3. Computational Mathematics Linear algebra, probability, numerical optimization. 4. Data Visualization Exploratory analysis and visual communication of results. 5. Machine Learning Supervised and unsupervised models, validation and interpretation. 6. Neural Networks and Deep Learning Theoretical fundamentals and practical implementations. 7. Databases and SQL Modeling, querying, manipulating and analyzing data.

The support is aimed at secondary school students in mathematics and physics and chemistry. It is aimed at students who want to make further progress or prepare effectively for exams, as well as students experiencing academic difficulties. They can take place at home or remotely, depending on availability. I offer regular or occasional support, depending on the needs: 1. Homework help 2. Preparation for inspections 3. Exam revisions (brevet, baccalaureate) 4. Consolidation or deepening of concepts