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Discover the Best Private Software engineering Classes in France

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52 software engineering teachers in France

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52 software engineering teachers in France

Maiko - La Celle-sous-Gouzon$23
$23Introduction to Python Programming (algorithms, structures, abstractions)
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
Devansh - Canary Wharf$35
$35Learn Object Oriented Programming with Python with a Live Project!
Trusted teacher: Are you ready to take your Python skills to the next level and unlock the power of Object-Oriented Programming (OOP)? Welcome to our comprehensive course designed to transform you into a Python OOP expert! Object-Oriented Programming is a fundamental paradigm in modern software development, and Python's versatility makes it an ideal language for mastering OOP concepts. In this dynamic course, we'll guide you through every aspect of OOP in Python, from the basics to advanced techniques, empowering you to build robust, scalable, and maintainable software solutions. What will you learn? Foundations of OOP : Understand the core principles of OOP, including encapsulation, inheritance, and polymorphism, and how they are implemented in Python. Class Creation and Management: Dive deep into creating classes, defining attributes, and designing methods to encapsulate functionality within your Python applications. Inheritance and Polymorphism: Explore the power of inheritance to create hierarchical relationships between classes and leverage polymorphism to write more flexible and reusable code. Advanced OOP Techniques: Learn about abstract classes, interfaces, and composition to design elegant and modular software architectures. Design Patterns: Discover common design patterns and how to implement them in Python to solve complex software design problems effectively. Testing and Debugging: Master techniques for testing and debugging object-oriented Python code to ensure its correctness and robustness. Real-World Applications: Apply your newfound knowledge to real-world projects, including building GUI applications, web development, and more. Why choose this course? Comprehensive Curriculum: Our course covers everything you need to know about OOP in Python, from the basics to advanced topics, ensuring you have a solid understanding of the subject. Hands-On Learning: Gain practical experience through hands-on coding exercises and projects that reinforce your understanding of OOP concepts. Expert Guidance: Learn from experienced Python developers who will provide clear explanations, practical examples, and personalized feedback to help you succeed. Career Advancement: Mastering OOP with Python opens doors to a wide range of career opportunities in software development, data science, machine learning, and more. Lifetime Access: Enjoy lifetime access to course materials, including updates and new content, ensuring you stay current with the latest advancements in Python and OOP. Whether you're a Python novice looking to expand your programming skills or an experienced developer aiming to level up your OOP expertise, this course is your ultimate guide to mastering Object-Oriented Programming with Python. Enroll now and embark on a journey to becoming a proficient Python OOP developer!
Software engineering · Information technology · Python
Marouane Boukhriss - Oudenaarde$80
$80Technical Lead & Software Engineering. Specializing in AI (Neural Networks, NLP, LLMs), Software Architecture, Advanced/High quality Program
The lessons are structured to master modern tech covering everything from Cross-Platform and Embedded Systems Development to cutting-edge programming in Golang, C#, JS, Python and more. Dive into advanced software architecture, agile methodologies, and AI innovations like Neural Networks and Natural Language Processing. The class are designed to enhance your problem-solving skills and thrive in high-stakes environments with comprehensive curriculum designed for real-world success Consequently, I have crafted a curriculum that meticulously addresses critical areas of software development. This curriculum includes, but is not limited to, coding (compiled, interpreted and assembly), development frameworks, software architecture, testing methodologies, agile practices, pipelines, APIs, artificial intelligence, algorithms, and strategies for effective communication within high-pressure environments. This educational framework is designed not only to impart essential technical skills but also to cultivate a robust understanding of the theoretical underpinnings and practical applications that are crucial in the rapidly evolving landscape of software engineering. Core Teaching Areas: - Coding: I teach coding fundamentals and advanced concepts across multiple languages, ensuring students can write clean, efficient, and scalable code. - Development Frameworks: Students gain hands-on experience with popular frameworks like React, VueJS, Laravel, Langchain, FastApi, and Django, which are pivotal in modern web development. - Software Architecture: I cover architectural patterns such as Domain-Driven Design (DDD), Clean Architecture, Onion Architecture, and more, focusing on building robust and maintainable systems. - Testing Methodologies: I emphasize the importance of Test-Driven Development (TDD), automation testing, and quality assurance to ensure software reliability and performance. - Agile Methodologies: Teaching agile practices such as Scrum, Extreme Programming, and Mob Programming, I prepare students to thrive in collaborative, fast-paced development environments. - Pipelines: Students learn to implement Continuous Integration/Continuous Deployment (CI/CD) and ETL processes, essential for modern DevOps practices. - APIs: Instruction includes designing and building APIs using REST and gRPC, critical for creating scalable and interoperable software systems. - Communication and Support in High-Pressure Environments: I train students on effective communication strategies and stress management techniques to maintain productivity and mental well-being in demanding situations. Teaching Techniques and Lesson Structure: My teaching methods are interactive and student-centered, incorporating a mix of theoretical instruction and practical application. Lessons typically begin with a conceptual overview, followed by coding exercises, project work, and peer discussions to reinforce learning. This approach not only helps in understanding the material but also in applying the knowledge practically. Typical Lesson Sequence: - Introduction and Review: Quick recap of previous lessons and introduction of new topics. - Interactive Demonstration: Use of real-world examples to demonstrate new concepts. - Hands-On Practice: Students engage in coding tasks and projects that apply the concepts. - Discussion and Feedback: Encouraging student interaction to share insights and resolve queries. - Summary and Preview: Summarizing key points and outlining next steps or upcoming topics. Through this structured yet flexible approach, I aim to foster an environment where students are encouraged to explore, question, and master the skills necessary for a successful career in technology.
Software engineering · Computer engineering · Computer programming
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Our students from France evaluate their Software Engineering teacher.

To ensure the quality of our Software Engineering teachers, we ask our students from France to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 4 reviews.

Python (Software Engineers and Data Science): From Basics to Mastery (Brussels)
Mohamed
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rating green star
I've been studying with Mohamed for several months now, and I can confidently say he is one of the smartest and most effective teachers I've ever worked with. He not only has a deep understanding of Python and Data Science, but he truly knows how to teach. Mohamed has a rare combination of strong technical expertise and outstanding teaching skills. He can explain complex topics in a simple and clear way, and he always chooses examples and exercises that really help you grasp the material. What I value most is his focus on practical application: we don’t get stuck in theory — we move straight to solving tasks that are relevant to real-world work. This makes each lesson extremely useful and efficient 👌🏼
Review by VIKTORIIA
Software engineering, programmeren en automatisering (Delft)
Fleur
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rating green star
Perfect I am very happy with her support she explain me all what I need. I will ask her for sure in the near future more.
Review by RAMIREZ
Test Automation , software testing , Agile processes , Java and ISTQB (Karlsruhe)
Gawan
rating star
rating green star
Gawan is very good teacher and his way of teaching is very nice
Review by NAVNEET

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