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Discover the Best Private Computer programming Classes in United Kingdom

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97 computer programming teachers in United Kingdom

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97 computer programming teachers in United Kingdom

Neel - Manchester£15
£15Introduction to Python Programming and Machine Learning Basics
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!
Computer programming · Computer engineering · Computer science
Max - Hemel Hempstead£16
£16Computational Theory (Suitable for GCSE and A-Level)
Computers are very powerful machines, that do incredible work. But how do they work? How can it tell the difference between a 1 and a 7? How can it tell the difference between reading a Word document and a PowerPoint? If you understand programmatic theory, then you can write in any programming language. This class is designed to unravel the mysteries surrounding these machines. Ranging from programming theory (what is a pointer?) to actual computational challenges (what is the correct data structure to use based on the Big O requirements?) No specific language is covered in this course, it will be purely theoretical knowledge and 'pseudocode'. The topics covered are listed below Programmatic Theory: Literals, Operators, Keywords Variables, Data Types, Generics Memory Usage, Pointers, Arrays Branching, Iteration, Iterators Functions, Control Flow, Scope, Closures, Enumerations, OOP Classes and Instances, Immutability, Inheritance Polymorphism, Exception Handling, Composition Asynchronous Programming, Multithreading, Multiprocessing Internal Workings: Binary, Hexadecimal, Number Systems Extrinsic vs Intrinsic Data, Coupling, MVC Architecture CPU, FED Cycle, Spatial Locality Caching, Performance, Memory Types Storing Complex Data (Text), Storing Complex Data (Sound), Storing Complex Data (Images) Data Structures and Algorithms: Performance, Big O, Measuring Performance Searching, Sorting, Decomposition Data Structures, Arrays, Linked Lists Single Buffers (Pools), Double Buffers, Ring Buffers Stacks, Queues, Priority Queues Heaps, Hash Tables, Graphs Trees, Binary Trees, Vectors
Computer science · Computer programming
Yifan - West End of London£42
£42Fundamentals of Programming: C, C++, and Basic Python
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
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