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Find the Best Online Computer Programming Tutors & Teachers for Private Lessons

For over a decade, our private Computer Programming tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons online, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1523 online computer programming teachers

Ace Competitive Programming: I specialize in helping students master the art of competitive coding. Whether you're preparing for coding competitions like Codeforces, LeetCode, Hackerrank, or university-level contests, I guide you through the problem-solving techniques and strategies used by top coders. Structured Problem Solving: My tutoring sessions focus on breaking down complex problems into manageable steps. You’ll learn how to approach coding challenges with a clear and logical mindset, enabling you to solve problems efficiently under time constraints. Algorithm Optimization: Understand and implement key algorithms such as greedy algorithms, dynamic programming, backtracking, and divide-and-conquer. We’ll focus on optimizing your solutions for speed and efficiency, ensuring your code runs within time limits during competitions. Data Structure Expertise: Gain a deep understanding of how to effectively use arrays, linked lists, stacks, queues, trees, graphs, and other advanced data structures to solve challenging problems. You’ll learn when and how to choose the right data structure to improve performance. Hands-On Practice: Every session includes real-time problem-solving, where we’ll tackle actual coding problems from popular competitive platforms. I provide immediate feedback on your code and guide you through debugging and refining your solutions. Improve Speed & Accuracy: Competitive coding is all about solving problems quickly and accurately. I help students develop strategies to think on their feet and avoid common coding pitfalls, while also sharpening their typing and coding speed. Prepare for Coding Interviews: In addition to competitions, the skills you’ll learn are invaluable for technical interviews at top companies. I provide specific coaching for coding interview prep, ensuring you’re ready to tackle both standard and advanced problems with confidence. Stay Motivated & Confident: Competitive coding can be tough, but I keep students motivated with challenging yet achievable goals. You’ll develop resilience and confidence in your coding skills, ready to take on any challenge.
Computer programming · Computer science · Self-improvement
Trusted teacher: 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
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