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Software engineering lessons in Barking

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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
Computer programming · Graphic design · Software engineering
Trusted teacher: 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!
Software engineering · Information technology · Python
Being able to program and code has become essential in the modern world. Too often schools' education programs don't offer good quality programming courses, and this might stop young people from discovering new possibilities for their future. Python is one of the most used and versatile programming languages, as well as the best to start grasping the basic concepts of coding. In this course I will guide from the first steps up to acquiring advanced coding skills. Choose your level and book the first lesson. Beginner: - Introduction to Coding - Basic python types and structures (string, list, ...) - Concept of functions - Input and output to console and text file Example Output: You will be able to create small console app such as an interactive calculator or a simple pre-programmed chatbot. Intermediate: - More complex data structures (matrices, linked lists, graphs, trees...) - Concept of classes - Using external libraries - Algorithms for sorting and information retrieval - Complexity of code (time and space required) Example Output: This will give you a broad set of tools to do a large amount of tasks. You will be able to solve complex Sudokus in less than a second as well as store complex types of data as objects. You will be able to create games, from very simple ones such as tic-tac-toe to more complex ones such Flappy Birds (creativity is the only limit). Note: the course is not focused on games, but to give you the basic tools. Advanced: This course can be customized according to the students interest. Possible options are: - Machine Learning (such as training a neural network how to distinguish dogs or cats) - Navigation algorithms (how to find the shortest path to the goal in a map) - Others directions can be discussed (feel free to text me if you have any question) Good luck, and see you soon :)
Computer programming · Python · Software engineering
Are you ready to dive into the world of software testing and automation? Our Software Testing and Test Automation course is designed to equip you with the essential skills needed to ensure the quality and reliability of software applications. Whether you're a beginner or an experienced professional, this course will take you on a comprehensive journey through the art and science of software testing. What You'll Learn: Fundamentals of Software Testing: Understand the core concepts and principles of software testing, including different types of testing, testing techniques, and best practices. Manual Testing Mastery: Learn the intricacies of manual testing, exploring how to design test cases, execute tests, and report bugs effectively. Test Automation Techniques: Dive into the world of automation, covering popular testing tools and frameworks. Discover how automation can drastically improve efficiency and accuracy in the testing process. Coding for Test Automation: Acquire hands-on experience in coding using languages like Java. Learn to create robust automated test scripts. Version Control and Continuous Integration: Understand version control systems like Git and learn how to integrate your automated tests into continuous integration pipelines for seamless testing. Performance and Security Testing: Explore advanced topics such as performance testing to ensure your applications can handle real-world loads and security testing to identify vulnerabilities and protect sensitive data. Real-world Projects and Case Studies: Apply your skills to real-world scenarios, working on practical projects and analyzing case studies. Gain insights into industry best practices.
Software engineering
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Coding with Python & R: Your Gateway to Data Science (Amsterdam)
Spyros
Great tutoring! I’m at a beginners level and Spyros was great at mentoring me through various topics with the correct pace. Will book again!
Review by BEATRIZ
Software engineering, programmeren en automatisering (Delft)
Fleur
Perfect I am very happy with her support she explain me all what I need. I will ask her for sure in the near future more.
Review by RAMIREZ