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...

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.

In today's fast-paced software development landscape, mastering test automation is crucial for ensuring the quality and efficiency of software products. This course is designed to provide you with the fundamental skills and knowledge needed to excel in test automation. Whether you're a beginner looking to enter the field of software testing or a seasoned professional aiming to enhance your automation skills, this course is tailored to meet your needs.

Machine Learning is one of the most sought-after skills in the modern world of AI applications, with hiring in this field growing at a staggering 74% annually for the last four years. This program is designed to equip you with the skills and experience needed to pursue a successful career in Machine Learning, and explore the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. You'll also delve into special topics to complement your learning. The program comprises of 6 courses that offer a solid theoretical understanding and ample opportunities to practice the main algorithms, uses, and best practices associated with Machine Learning. You'll code your own projects using the most relevant open-source frameworks and libraries, and apply what you learn in various courses to a final project. Whether you're already familiar with Python programming, statistics, and linear algebra, or just have a general interest in data analysis and self-learning, this intermediate series is suitable for you. We start with the basics, offer a solid theoretical foundation, code-along labs and demos, and build up to more advanced topics, making it an exciting and rewarding learning experience.

Sometimes it isn't easy for students to understand and develop code for Gymnasium or University level Assignments in Java Programming Language. I can support this with my experience in Java. I have given support and the students received good results for assignments related - Object-oriented programming - Recursion - Multithreading - Sockets and networking - and many more

Learn how to create applications using Java/Spring boot platform. Learn to to code in Java 1 Create Restful apis. Learn how to use Jpa, hibernate and spring data jpa to manage data in database. Learn backend coding best practices. Learn about event driven architecture and Kafka. Learn how to write unit and integration tests for your applications.

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!

This class serves as an introduction to basic concepts in programming delivered primarily in Python. It is designed to initiate or progress your skills in computer programming, in a way that can be suited for complete beginners to coding in general, or who have some experience in Python or another language. Based on these classes, you will be able to: Demonstrate theoretical and practical knowledge of basic programming concepts such as variables, loops, I/O operations. Demonstrate the fundamental features of the Python programming language. Develop skills and apply your knowledge to undertake practical exercises.

From the basics of programming and creating your first application to explaining development patterns and creating or using APIs. Depending on where the interests lie, a lot can be achieved.

I am the author of the book that is currently at the top of the best sellers on Amazon. This course is designed to teach programming and the creation of small programs using Python. I offer in-person lessons to students studying software development. Drawing from my experience of over a decade as a Software Engineer, I also cover topics such as relational databases. Throughout this course, you will begin writing code right from the start. This approach enables you to immediately test the concepts you learn. Each lesson concludes with an assignment, providing you with the opportunity to apply what you've learned in your own time and solve problems independently.

Available languages are English and Dutch. Classes will be online for international students and in person (preferable, not a must) or online. I teach all ages/levels; it is never too early or too late to start and this field of work, especially with the prominence of AI, has enormous potential for your career. Of course I will adjust the way of teaching based on your knowledge background and age. My job involves full-stack and Azure/Azure DevOps on a daily basis with the C# .NET stack, but these lessons are primarily designed to help you develop your abstraction skills, latest techniques, general practices, and, if a beginner, C# syntax. The lessons can be named in time slots of 1 hour, but 1,5 or 2 hours is preferable as 1 hour usually is too short to cover enough in time. Time slots of more than 4 hours will not be done, even if desired, because the concentration of students will generally have dropped too much. After all, it is a lot of thinking. Ideally, you take classes on a weekly basis so that the knowledge can be properly applied and it is not forgotten, but that is up to you.

The aim of this program is to provide you with the necessary skills and experience to begin your journey and get a head-start in Machine Learning. Covering the primary types of machine learning, the program offers a comprehensive theoretical understanding of Machine Learning with opportunities to practice using algorithms, methods, and best practices associated with Machine Learning. You will also have the chance to develop your own projects using relevant open-source frameworks and libraries and apply your learnings in various courses to a final project. Whether you are already proficient in Python programming, statistics, and linear algebra, or have a general interest and are willing to learn, this beginner/intermediate oriented series is suitable for you.

<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.

Classes depend on the technology needed to learn, the student's age, and their level. Classes can be about programming languages needed or any computer science and engineering topic. You can request a specific topic for learning in general.

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