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Discover the Best Private Computers & electronics Classes in City Of Westminster

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

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61 computers & electronics teachers in City Of Westminster

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61 computers & electronics teachers in City Of Westminster

Description: This immersive course is designed to introduce participants to the core concepts of programming through three versatile languages: C, C++, and Python. The course caters to beginners and enthusiasts aiming to develop a strong foundation in programming logic and syntax using these languages. Topics Covered: 1. Introduction to C Programming: Basic structure, variables, and data types. Control structures: loops and decision-making statements. Functions and modular programming. Arrays, strings, and pointers. 2. Intermediate C++ Programming: Object-oriented programming (OOP) concepts: classes, objects, inheritance, and polymorphism. Standard Template Library (STL): Containers, algorithms, and iterators. File handling and streams in C++. 3. Basic Python Programming: Python syntax, data types, and basic operations. Control flow: loops and conditional statements. Functions, modules, and libraries. Introduction to data structures: lists, dictionaries, and tuples. Teaching Methodology: Layered Learning Approach: Begin with fundamental programming concepts using C and gradually progress to object-oriented concepts with C++. Transition to Python to introduce high-level concepts and application-oriented programming. Practical Coding Assignments: Implement coding exercises and projects in each language to reinforce learning and practical application. Hands-on Workshops: Conduct workshops and coding sessions to apply learned concepts in real-time scenarios. Target Audience: This course is suitable for beginners and individuals with minimal programming experience who wish to acquire a solid understanding of programming logic using C, C++, and Python. Outcome: Participants will gain proficiency in C and C++ fundamentals, along with a basic understanding of Python, empowering them to write, understand, and analyze code in these languages.
Computer programming · Science · Engineering
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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