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226 private teachers in Nice

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226 private teachers in Nice

My classes are open to absolutely all levels and are based on breathing, vocal technique and artistic musicality in accordance with the personality and needs of the student. I also make a link with the body posture which greatly impacts the voice: I integrate very simple exercises allowing a greater awareness of the body, in order to create more fluidity in the movements, relaxation and bring to sing more intuitively and more freely (All this is the result of various research carried out during my training and my experience). In order not to reduce the student to a single and unique way of sing, I adapt according to his voice, his style musical and his personality to guide him in the best way towards what corresponds to it, as naturally as possible and without judgement. In addition to the technique and the placement of the voice, my research is also based on the well-being and the accompaniment of the person so that he finds his autonomy as regards the control of his voice. My journey: Opera singer for more than 15 years and enriched by training and professional experience in France, Italy and Germany. Graduated from the Conservatories of Aix-en-Provence and Marseille and holder of a Master's degree from the Higher Music Conservatory of Weimar in Germany, I have also participated in productions as a soloist in theaters in Italy, Germany, in England and Canada. All these experiences allowed me to deepen the functioning of the voice and to make a link between the body and the emotional which are interrelated and allow us to express ourselves according to our feelings. For several years, I have been passionate about teaching and transmitting my technical and human knowledge that I was able to acquire during my career as an artist.
Opera · Singing
Trusted teacher: <Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
Software engineering · Computer programming
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