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Computer programming lessons in Seeb

Find your perfect private computer programming tutor in Seeb.
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Sound (music) · Computer programming · Ableton live
Trusted teacher: I am a freelancer who graduated from the University of Westminster, where I began my journey into programming. During my studies, I started applying programming skills to solve physical and mathematical problems. Since then, I’ve developed a passion for continuous learning and have expanded my expertise in data implementation and software development. For the past 16 years, I have been offering private programming lessons, helping students of all ages and backgrounds, from beginners to advanced learners. Whether you're a student looking to build a project portfolio, prepare for an exam, or a professional aiming to learn Python through practical applications, I can help you reach your goals. What I Offer: Learn Python by building projects: From the basics to more advanced concepts, you will learn programming through hands-on experience, working on real-world projects that solidify your understanding. Customized lessons: I tailor each lesson to your learning style and needs, whether you're just starting out or looking to deepen your skills. Project support: Whether you're working on a portfolio, completing a boot camp project, or preparing for an exam, I offer guidance and assistance to help you succeed. Step-by-step approach: Before each lesson, you'll receive study materials and exercises designed to help you grasp the concepts we’ll cover. Afterward, you'll receive homework to reinforce what you've learned. Flexible online lessons: Learn from the comfort of your home with flexible scheduling. I currently work as a freelancer, collaborating with companies, startups, and schools to deliver online programming classes. If you’re eager to learn Python in a practical, engaging way, or if you have any questions, feel free to send me a message - I will surely reply. Thank you, Alex
Python · Computer programming · Database
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 30 reviews.

Computer Science ( Python, Machine Learning, Robotics, Artificial Intelligence) (Vienna)
Negar
negar is a great teacher! very patient and accommodating, and very good at explaining tough concepts. Her approach is very hands-on process-oriented and I feel like I'm actually learning something instead of just copying code. Would recommend!
Review by KLARA
Solve Python University Tasks With Professional 1:1 Online Tuition
Alexandros
Alexandros is a knowledgeable programmer and helped me successfully complete a challenging academic assignment for coding in Python. Alexandros is able to understand a problem, and help you formulate a proper response.
Review by CHRISTOS
Programming and Data Analysis, Matlab, Python, Fortran, SPSS
Nikolaos
Nikolas is a very depentable tutor with an abudant amount of knowledge in programming. He was very helpful in preparing me for my programming exam and I higly recommend him!
Review by KYRIAKOS