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Discover the Best Private Software engineering Classes in London

For over a decade, our private Software engineering tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in London, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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7 software engineering teachers in London

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
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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
Computer programming · Computer science · Software engineering
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Our students from London evaluate their Software Engineering teacher.

To ensure the quality of our Software Engineering teachers, we ask our students from London to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 14 reviews.

Python Tutor - Machine Learning - AI - A Professional Python developer is happy to teach you Python code/projects (software development).
Jaydip
Jaydip is a very good tutor who has effectively taught me advanced AI and Python concepts at a master's level. His expertise and patience make learning enjoyable and accessible. Jaydip's clear and structured approach has empowered me to grasp complex ideas and develop practical skills in the field of AI. I highly recommend Jaydip for anyone looking to expand their knowledge in these areas.
Review by MIKA
Hands on computers programming and general knowledge lessons for beginners or professionals (Amsterdam)
Mihai
Mihai is a very knowledgeable teacher. He can answer any question you ask him. He also addresses topics that are not his area of expertise per se and explains them to you in simple terms. His examples are easy to follow and linked to real problems. Yet, they are complex enough so that you can apply them afterwards. Overall, I highly recommend Mihai to anyone, beginner or advanced!
Review by UWE
Java + Software Engineer + Spring + Web development (Colmar)
Rishabh
Very helpful! He guided me and support me to start a learning path. Can not wait to go further with the studies.
Review by RAMIREZ