Software engineering lessons in Tallinn

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Computer programming · Software engineering · Math
Trusted teacher: (Please see the attachments in my profile for feedback and recommendations) Hi, I am a professional Software Engineer currently working as a Web Specialist Engineering, a Computer Engineering Graduate from Queen Mary University of London. I have been teaching Maths, ICT/Computer Science, Data Analytics, Artificial Intelligence, Machine Learning, university computing/software/programming modules and mentoring GCSE, A’level, University students for more than 12 years. For feedback and recommendation please check my tutor profile. My main focus is to make sure students achieve higher grades but also make them ready for the real-world applications. I teach a wide range of programming languages such as Python, Java, PHP, HTML, CSS, JavaScript, jQuery, Node.JS, MongoDB, reactjs, vueJs, C#, VB, Angular, Node, MySQL, MSSQL, PostgreSQL etc. I've been helping GCSE, A'Level students as well as students from top universities such as Oxford, Imperial College, Queen Mary, Greenwich, UCL, King's college, Birkbeck, Waterloo etc. I can help you get ready for the exams, help with the assignments, projects, etc. As well as teaching students in UK, I have students from many other countries such as Malaysia, Russia, UAE, Switzerland, USA, Canada, etc. If you are parents, whichever level is your children, I can provide extensive guidelines to help and achieve the targeted grade. A few of my previous professional roles are: 1. Lead Application Developer - EB Trade 2. Software Engineer - Imperial College London 3. Web Application Developer - London School of Hygiene and Tropical Medicine (LSHTM) 4. Software Developer - Queen Mary University of London (QMUL)
Software engineering · Computer programming · Web development
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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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 15 reviews.

Python Tutor - Machine Learning - AI - A Professional Python developer is happy to teach you Python code/projects (software development).
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 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
Maths, Assignments, Home works and Test Preparation (Gothenburg)
Jude shows that he cares for his students, he will go the extra mile. Jude helps me with his work outside the time of the class. He will research new technics for me and help me out with them. Jude is probably the best math teacher out there.
Review by IKER