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Software engineering lessons in Bir El Djir

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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
Hello there, programmers! I'm Theo, a seasoned Software Engineer with extensive experience in the tech industry and a passion for teaching. I offer freelance tutoring services in software engineering, taking you on an interactive learning journey from the basics to the advanced concepts. Being a specialist in a broad array of programming languages such as C++, Python, and JavaScript, I can help you comprehend the intricate aspects of coding and software development. With my guidance, you'll learn more than just the syntax; I'll help you develop an understanding of how to approach problems, write efficient code, and work on complex projects. Students who choose my tutoring services will learn: 1) Software Engineering Basics - Foundations of computer science, programming, algorithms, data structures, and operating systems. 2) Software Development Lifecycles - Agile, Waterfall, and hybrid development methodologies. 3) Real-World Programming - Practical exercises with real-world scenarios in coding, debugging, testing, and deployment. 4) Advanced Topics - Concepts of Object-Oriented Programming (OOP), Databases, Machine Learning, Artificial Intelligence, Cybersecurity, and more. 5) Soft Skills - Project management, team collaboration, and communication, crucial for a successful career in software development. In addition to theory, I strongly emphasize hands-on learning with practical projects that simulate real-world software development scenarios. By the end of the course, you will have a portfolio of projects showcasing your software engineering prowess. Stand out from the crowd by mastering the art of coding under my expert guidance. Let's turn your software engineering aspirations into reality!
Web development · Software engineering
Trusted teacher: Hello - Servus - Greetings ... Future Silicon Whisperer ... Welcome to this recreational programming class for absolute beginners (but lifelong learners!) who want to take the first small steps into the domain of coding ... and a giant leap into the realm of software. But no need to fret. You are in safe hands with me — someone who has being tinkering with the computational engineering sciences for well over a decade, publishing novel research, presenting conference talks, and, of course, tutoring curious minds. It is always rewarding to see a tutee go from building simple websites to developing complex artificial intelligence applications, often in a few short months, which motivates me to continue delivering and refining this course. For me, our computers are virtual laboratories in which software can be our digital apparatus. The true power of our electronic devices can be unlocked once we become literate in the languages that a computer can understand. This process can be challenging; but it is ultimately a fruitful endeavour. But before you dive in, you might have a few questions; here is a preemptive measure to answer the common ones: - - - - - - - - {Q} I work in the <x> industry/business. So why should I start programming? {A} Programming skills are becoming increasingly essential in our modern world. Coding is a contemporary craft — one that can be used to solve technical problems, innovate new technologies or even express artistic ideas. (At the very least code can be used automate boring and repetitive tasks, thereby saving considerable time and money!) {Q} I am <n> years old. Is it too early/late to start coding? {A} Start coding whenever you feel comfortable and at your own pace ... and you will quickly realise that age is just an unsigned int. That is to say, no prior knowledge will be assumed in this class, and mature students are more than welcome. {Q} How are sessions organised? {A} We will have a video call/meeting in which we share our screens over a one- or two-hour period. There will be lots of typing (mostly on your end) but also custom notes and additional resources will be prepared for you. {Q} How is the syllabus structured? {A} As a gentle but comprehensive introduction into software carpentry, a tentative outline would involve a four-part sequence: - Part[0] = Foundational Programming Mechanics - Part[1] = Coding Best Practices - Part[2] = Tools of the Trade - Part[3] = Software Project Lifecycle - - - - - - - - The course can, and will, be tailored around your goals and needs; so do feel free to get in touch to brainstorm something that works for you. Here is to your continued success.
Computer programming · Software engineering
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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