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Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.

Web development is the process of creating and maintaining websites and web applications. It includes a variety of technologies such as HTML, CSS, JavaScript, and modern frameworks that enable the design of interactive and functional digital experiences. This course is designed for those who want to take their first steps in the world of web development. You'll learn the essential basics, as well as the most widely used technologies in the industry, including HTML, CSS, and JavaScript. Through practical exercises and guided projects, you'll develop the skills necessary to structure, design, and implement functional web pages. Upon completion, you'll be able to create your own website, applying everything you've learned throughout the course.

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Gain basic programming skills and learn the principles of software engineering from scratch, in a learning journey characterized by practical application, real projects, and continuous support, so that you can delve into the most important areas of programming with confidence. Learning outcomes: - The concept of programming in general The importance of programming and its different languages Python language applications Python language commands Python Programming Basics and Principles for Beginners Conditional Statements in Python Structure of a Python program using condition and repetition How to write a program in Python Structure using functions and object-oriented programming

🧒💻 Programming for Kids: From Scratch to Python An interactive program designed for children aged 7 to 14, it begins by teaching the basics of programming using the visual Scratch language, where children create interactive games and stories in a fun way. After mastering the basic concepts, the program moves on to teaching the Python language, allowing children to write real code and develop simple projects. 🎯 Program features: Simplified and beginner-friendly instruction. Practical projects enhance understanding and application. Develop logical thinking and problem solving skills. No prior programming experience required. Join now to give your child a strong start in the world of technology.

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I'm a software engineer offering online maths tutoring for students from middle school (Brevet) up to Bac+2 level. Passionate about teaching and science, I adapt my approach to each student’s pace and level to make maths more accessible, engaging, and concrete. Whether it’s about reinforcing fundamentals, exam prep, or tackling advanced concepts, I provide personalized support tailored to each learner. Based in Île-de-France and fully available online, I bring a structured, patient, and motivating teaching style.

Python is a versatile and beginner-friendly programming language widely used in data analysis, web development, machine learning, and automation. This course is designed for anyone who wants to start their coding journey or improve their Python skills. In this class, you'll learn Python fundamentals, including variables, loops, and functions, and gradually progress to more advanced topics like object-oriented programming, working with APIs, and handling real-world datasets. With a focus on hands-on practice, you'll complete projects that solidify your understanding and help you build a portfolio. Whether you're preparing for a career in tech, automating tasks, or diving into data science, this course provides a structured and engaging way to master Python. Let's code your way to success!

<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.

C++ is a leading programming language used in game development, virtual reality, real-time simulation and high-frequency trading, where efficiency and speed matter. One reason why C++ is so effective is its ability to work very closely with hardware. Additionally, as an object-oriented programming language, it offers flexibility in development. This makes it the go-to language when speed and performance are non-negotiable. With a competitive base salary, there is a significant demand for C++ developers in high-stake fields like game development.

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!

Explaining the basics of programming and artificial intelligence for children using Scratch and Python To teach kids the basics of programming and artificial intelligence using Scratch and Python, start with simple concepts with fun applications: Scratch: Introduce kids to visual programming using colorful blocks. Start with projects like creating an interactive story or a simple game. Teach them concepts like loops, variables, and conditions using animations. Python: Python is introduced as an introduction to scripting. Use easy libraries like turtle to draw or random to create random games. Introduce them to AI with a library like Teachable Machine to easily classify images or sounds. Practical example: Create a simple game in Scratch, then use Python to develop a similar game to illustrate the difference between visual and textual programming.

Dive into the world of programming with Python! This introductory class offers a hands-on approach to learning Python's core concepts. Ideal for aspiring IT professionals, software engineers, and data enthusiasts, you'll gain practical experience and build a solid foundation in Python programming.