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<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.

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Are you looking to learn programming, strengthen your computer science concepts, or explore Artificial Intelligence and Machine Learning? I offer personalized lessons designed for school students, university students, and professionals who want to build practical skills and real-world understanding. As an MSc Artificial Intelligence student and AI/ML Engineer, I have experience working on real AI systems involving Machine Learning, Large Language Models (LLMs), Knowledge Graphs, OCR systems, backend development, and full-stack applications. I am also an experienced tutor who has been teaching students since 2022 through both online and in-person learning environments. I have taught students on platforms online tutoring platforms, where I have helped learners across different subjects including programming, English, and Urdu while maintaining strong student feedback and ratings. Additionally, I currently support students at Ohm Gymnasium Erlangen, where I assist students with mathematics, programming, and English learning activities. Subjects I can teach include: • Programming: Python, Java, C/C++, JavaScript • Computer Science fundamentals • Data Structures & Algorithms • Object-Oriented Programming (OOP) • Databases and SQL • Web Development (Django, Flask, React, MERN) • Artificial Intelligence & Machine Learning • Deep Learning and Generative AI • English language support (IELTS qualified, C1 level) • Mathematics support • Microsoft Office tools (Word, Excel, PowerPoint) • Academic assignments and project guidance • Interview preparation and coding practice My teaching approach focuses on: ✓ Learning concepts step-by-step ✓ Practical coding exercises and projects ✓ Real-world examples and applications ✓ Interactive problem solving ✓ Personalized guidance based on your level and goals Whether you are starting from scratch or preparing for advanced topics, lessons are tailored to help you build confidence and develop strong technical skills.