Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.

I can help you with your python project works. With live coding sessions, tips, and tricks you will have a chance to improve your knowledge or complete your coding project/assignments with great insight into the code. I am working with the following libraries in my everyday work AI developer: Numpy Pandas Scipy Scikit-learn Tensorflow / Keras Pytorch OpenCV Tesseract Pillow Tkinter Flask selenium Matplotlib and many more...

A lot of people are taking the shortcut of asking ChatGTP to code for them. Nothing wrong with that although this is typically not industry standard code and you do need to know the basics to be able to catch the small errors. As a lot of my code ended up in production, I would like to explain to you the hard lessons I learnt along the way and help you become a better developer!

Docker is an essential tool for any developer nowadays. It allows flexibility and speeds up development. Whether you would like to start learning containerization or you would like to take your knowledge to the next level, I can help you. Docker is a great tool to not only deliver software but also to play around with different technologies and test multiple releases without burdening your local environment.

Throughout my career, I have taken on various roles that highlight my dedication to education and mentorship. In the companies where I worked, I was responsible for onboarding new joiners and served as a team buddy for newcomers. This role involved providing guidance, support, and a smooth transition into the team environment. I have also been instrumental in educating junior and mid-level developers, introducing new concepts, and teaching them how to effectively apply these ideas in their work. My approach ensures that team members are well-equipped with the latest knowledge and best practices in the industry. My comprehensive experience in tutoring and teaching reflects my commitment to fostering a collaborative and growth-oriented learning environment. Whether in a formal setting or through informal sessions, I am dedicated to empowering others to achieve their full potential.

This course is designed for students who want to acquire a solid foundation in computer programming and software engineering using Python, one of the most versatile and widely used programming languages today. You will learn the fundamentals of programming, such as variables, control structures, data structures, functions, and object-oriented programming. You will also explore software engineering best practices, including code organization and debugging.

<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.

Explaining the basics of programming and artificial intelligence for children using Scratch and Python To teach kids the basics of programming and artificial intelligence using Scratch and Python, start with simple concepts with fun applications: Scratch: Introduce kids to visual programming using colorful blocks. Start with projects like creating an interactive story or a simple game. Teach them concepts like loops, variables, and conditions using animations. Python: Python is introduced as an introduction to scripting. Use easy libraries like turtle to draw or random to create random games. Introduce them to AI with a library like Teachable Machine to easily classify images or sounds. Practical example: Create a simple game in Scratch, then use Python to develop a similar game to illustrate the difference between visual and textual programming.

Android app development is one of the most in-demand skills in today’s tech industry. As a mobile developer, you'll need to understand how to build modern, scalable apps from the ground up — and this class is designed to help you do just that. In this course, you’ll learn how to build Android apps using real-world tools like Kotlin and Flutter. You'll explore UI design, user interaction, Firebase integration for backend services, and app deployment techniques. Whether you're a beginner or looking to strengthen your fundamentals, this class will give you hands-on experience in creating powerful mobile applications. By the end of this course, you'll be able to confidently build and publish Android apps, use Firebase for authentication and database storage, and apply best practices to write clean, efficient code.

I am a lecturer and a senior software engineer. I got my degree in Engineering with Mathematics and completed the masters with Computer Science heavily covered with mathematics. I have more than 7 years of teaching experience. I will work with the student and get to know about his/her level. Then I will improve it from there. I will teach so that the learning will be an interesting experience for the child.

Are you ready to take your Python skills to the next level and unlock the power of Object-Oriented Programming (OOP)? Welcome to our comprehensive course designed to transform you into a Python OOP expert! Object-Oriented Programming is a fundamental paradigm in modern software development, and Python's versatility makes it an ideal language for mastering OOP concepts. In this dynamic course, we'll guide you through every aspect of OOP in Python, from the basics to advanced techniques, empowering you to build robust, scalable, and maintainable software solutions. What will you learn? Foundations of OOP : Understand the core principles of OOP, including encapsulation, inheritance, and polymorphism, and how they are implemented in Python. Class Creation and Management: Dive deep into creating classes, defining attributes, and designing methods to encapsulate functionality within your Python applications. Inheritance and Polymorphism: Explore the power of inheritance to create hierarchical relationships between classes and leverage polymorphism to write more flexible and reusable code. Advanced OOP Techniques: Learn about abstract classes, interfaces, and composition to design elegant and modular software architectures. Design Patterns: Discover common design patterns and how to implement them in Python to solve complex software design problems effectively. Testing and Debugging: Master techniques for testing and debugging object-oriented Python code to ensure its correctness and robustness. Real-World Applications: Apply your newfound knowledge to real-world projects, including building GUI applications, web development, and more. Why choose this course? Comprehensive Curriculum: Our course covers everything you need to know about OOP in Python, from the basics to advanced topics, ensuring you have a solid understanding of the subject. Hands-On Learning: Gain practical experience through hands-on coding exercises and projects that reinforce your understanding of OOP concepts. Expert Guidance: Learn from experienced Python developers who will provide clear explanations, practical examples, and personalized feedback to help you succeed. Career Advancement: Mastering OOP with Python opens doors to a wide range of career opportunities in software development, data science, machine learning, and more. Lifetime Access: Enjoy lifetime access to course materials, including updates and new content, ensuring you stay current with the latest advancements in Python and OOP. Whether you're a Python novice looking to expand your programming skills or an experienced developer aiming to level up your OOP expertise, this course is your ultimate guide to mastering Object-Oriented Programming with Python. Enroll now and embark on a journey to becoming a proficient Python OOP developer!

In this hands-on, beginner-friendly course, you'll learn the C programming language from scratch, gaining practical coding skills and understanding key concepts such as variables, loops, functions, arrays, pointers, and memory management. Whether you're a student, aspiring developer, or tech enthusiast, this course is designed to help you build a strong programming mindset and prepare you for more advanced topics or careers in software development, systems programming, or embedded systems. What you’ll learn: Writing your first C program Understanding data types, control structures, and functions Working with arrays, strings, and pointers Managing memory and file input/output Debugging and compiling C code With clear explanations, live examples, and interactive practice, you’ll walk away confident in your ability to write real C programs and understand how computers really work under the hood. No prior programming experience required. Just bring your curiosity and a willingness to learn!

Would you like to hone your programming skills under the guidance of a computer science lecturer? I offer C++ and Python tutoring for students of all levels! I will help you achieve your goals whether you are a complete beginner or an experienced programmer looking to develop your skills further. What I offer: Computer Science-Based Teaching Curriculum: Leverage my in-depth knowledge of computer science principles to build a strong foundation in programming in C++ and Python. Practical experience and academic skills: I combine my practical experience with my theoretical knowledge to offer you a comprehensive and effective education. Broad topic coverage: We can explore all aspects of C++ and Python, from basic concepts to topics Advanced depending on your interests (such as memory management in C++ or machine learning libraries in Python). An interactive, application-based approach: You will solve practical exercises and projects to practically apply what you learn and enhance your skills. Continuous support and guidance: Your learning journey will not stop at the class limits. I will always be available to answer your questions and provide the necessary support. Why choose me: Graduate specializing in Computer Science: Benefit from my deep knowledge in the field of programming and computer science in general. A passionate and experienced teacher: I have extensive experience in explaining complex concepts in a clear and simple way. Commitment to developing your skills: I believe in the importance of effective education and strive to help you reach your full potential as a programmer. A passionate supporter of your success: I will always be by your side to motivate and encourage you to achieve your programming goals. Are you ready to take your programming skills to the next level? Contact me today!

I offer private computer and programming classes from basic to intermediate-high level, including the possibility of learning programming from scratch, without the need for previous knowledge. My specialties include: ✔ Python – From fundamentals to advanced development and automation. ✔ Web development – HTML, CSS, JavaScript, modern frameworks. ✔ Mobile programming – Android and iOS applications. ✔ Databases and SQL – Design, optimization and advanced queries. ✔ Good practices and methodologies – Agile development, design patterns and software architecture. I am a professional with more than 8 years of experience in software development, having worked both in Spain and abroad, including experience at CERN. I have a Higher Degree in Multiplatform Application Development, a degree in Software Engineering and a Master's Degree in Big Data. Classes can be taught in Spanish or English and can be held online, at my home, or I can travel to the student's location and preference. My approach is practical, combining theory with real exercises to ensure a better understanding and application of knowledge.

Learn how to create applications using Java/Spring boot platform: Java language basics, setting up a spring boot project from scratch. Lean how to create Restful apis. Learn how to use JPA, Hibernate and spring data to interact with the database. Learn Java coding best practices. Learn event driven architecture and Kafka. Learn how to write unit and integration tests for your applications.