Introduction to JavaScript Programming, for Web Development

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.

Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

This class offers a comprehensive, engaging learning experience in both math and Python programming, tailored for students from primary to high school. Through interactive lessons, students will build a solid foundation in math, covering topics such as arithmetic, fundamental of math for primary schools Basic Arithmetic (Addition, Subtraction, Multiplication, Division) Number Sense and Place Value Introduction to Fractions and Decimals Geometry Basics (Shapes, Perimeter, Area), and for Middle schools Fractions, Decimals, and Percentages Ratios and Proportions Basic Algebra (Equations, Expressions). In parallel, students who gets IT lessons fron me will explore the world of programming with Python, starting from basic syntax and progressing to real-world applications, including data analysis, some tasks to perform the tasks

Curious about coding and need some extra help with math? This class is ideal for school students who want to learn programming or those already interested in tech but looking for additional support. Python is an excellent first language—it’s simple, intuitive, and connects well with math concepts, making it perfect for beginners. Why Choose This Class? -Engaging Python Lessons: We’ll explore essential Python concepts through hands-on projects, helping you understand coding fundamentals in a fun and accessible way. -Fun Math Support: Math can be challenging, but I’ll teach it in a way that makes it enjoyable and practical! From interactive exercises to real-life examples, I’ll help you build strong math skills that also reinforce your coding knowledge. Together, we’ll turn math into a tool for creativity and problem-solving. Whether you're new to coding or just need a boost in math, this class will set you up for success in tech and academics alike. Join me to build confidence in both Python and math!

Ideal for beginners to build a foundation in algorithms and coding logic. - Computer Science Fundamentals: Basics of algorithmic concepts and data structures. - Programming Basics: Connecting algorithms to coding practices. - Problem Solving: Applying algorithms to real-world scenarios for analytical skills. - Practicing programming languages including C, Python, and Java.

This class provides foundational knowledge and skills in HTML, CSS, and JavaScript, the core technologies for building and styling web interfaces. 1-HTML (HyperText Markup Language): Learn the basics of HTML to structure web content. This section covers elements, tags, attributes, forms, and semantic HTML, ensuring an understanding of how to create organized and accessible web layouts. 2-CSS (Cascading Style Sheets): Gain hands-on experience with CSS for styling and layout. Topics include selectors, colors, typography, box model, flexbox, grid, animations, and responsive design, empowering you to transform HTML structures into visually appealing, flexible designs. 3-JavaScript: Explore JavaScript to add interactivity and functionality to web pages. You’ll cover essential topics like variables, data types, functions, DOM manipulation, event handling, and an introduction to ES6+ features, enabling you to make dynamic, user-friendly websites. By the end of this class, you'll be able to create structured, styled, and interactive web pages that provide a positive user experience and prepare you for more advanced front-end development topics.

Native Android development allows you to harness the full power of the platform, creating applications that are not only performant but also provide a seamless user experience. By leveraging the rich ecosystem of tools and libraries, you can build apps that truly resonate with users, ensuring they are fast, responsive, and deeply integrated with the Android operating system. In this class we learn about topics like: 1. Introduction to Android. 2. Introduction to "Android Studio" IDE. 3. Different files in Android Studio. 4. Create your first "Hello World" Android Application". And Unlock the world of mobile technology by diving into native Android application development. This comprehensive course is designed for aspiring developers eager to learn how to create robust, high-performance applications using Kotlin and Java. Participants will gain hands-on experience with Android Studio, explore the Android SDK, and understand the intricacies of user interface design, data management, and network operations. Throughout the course, you will engage in practical projects that mimic real-world scenarios, enhancing your problem-solving skills and preparing you for a career in mobile development. By the end of this journey, you'll be equipped with the tools and knowledge to build innovative applications that meet the needs of users and stand out in the competitive app marketplace.

In this class, you’ll embark on an exciting journey into the world of programming with Python. You’ll start by writing your very first Python program, gaining hands-on experience from the get-go. As you progress, you’ll delve into the core fundamentals of Python, including variables, data types, control structures, functions, and modules.

Join me for this exciting lesson as we explore the world of LaTeX, the perfect tool for creating professional, high-quality documents. We’ll start by learning how to install Latex on your computer, then we’ll get into the basics, like coding and formatting, and how LaTeX can make it easier for you to write organized, publishing-friendly articles and research papers. During the session, I’ll show you how to use different packages, how to insert mathematical equations, and how to design advanced charts and tables. The lesson will be presented in clear detail, with practical examples, so you can easily follow along. Don’t miss the opportunity to develop your academic writing skills and improve the quality of your work by learning LaTeX in an interactive and supportive environment.

I am a graduate in data science with R programming skills. I am able to help the students with assignments, and analysis with their master thesis. My approach is very student-oriented and I explain the subjects in a detailed way so that the students understand the main idea.

I am a university professor and I offer support courses in the following areas: * Initiation and improvement in office automation * Advanced Microsoft Access * Computer programming languages: C, C++, Java, J2EE, etc. * Preparation for CISCO CCNA computer networks * Diagnosis and maintenance of computer equipment * Computer architecture and operating systems I will be happy to help you in these different areas. Do not hesitate to contact me for more details or to discuss your specific needs.

What You’ll Learn: Front-end Technologies: HTML, CSS, JavaScript, React.js, Next.js, TailwindCSS for creating dynamic, responsive applications. Back-end Mastery: Node.js, Nest js, Express, and Fastify for building robust and scalable web servers. Databases: MySQL, PostgreSQL, and MongoDB for handling data efficiently. DevOps & Deployment: Learn Docker, CI/CD with GitHub Actions, and cloud deployment practices to ensure your applications are production-ready. How You Will Benefit: Students: Gain the technical skills and portfolio to ace your academic projects and land internships or entry-level jobs. Self-Taught Learners: Stop the guesswork and follow a structured, hands-on approach to mastering full-stack development faster. Professionals: Upgrade your skills to meet the demands of modern web development and position yourself for career growth. Why My Course is Different: Real-World Projects: You'll build applications that solve real business problems, like a complete e-commerce site, RESTful APIs, and microservices. Tailored Learning: Each course is personalized to your experience level and goals, ensuring you get the most out of every session. Problem-Solving Focus: From debugging to performance optimization, you'll learn to tackle real-world challenges confidently. Industry-Relevant Skills: Stay ahead of the curve with training in modern technologies and practices that top employers are looking for.

Would you be interested in learning how to use Artificial Intelligence in your daily life? In my AI classes for kids, you will learn how to use this advanced technology in a practical and fun way! During our sessions, we'll explore different ways AI can improve our everyday lives, from shopping online to playing video games. In addition, you will learn to code and create your own AI applications. My classes are suitable for children from 8 years old and are held online via video calls. No previous programming experience is required! If you are interested in learning about AI and how to use it in your life, feel free to contact me! I'm looking forward to teaching you everything I know about this amazing technology.

Welcome to "Machine Learning with Python and PyTorch: Practical Hands-on Training," a beginner-friendly course designed to introduce you to the exciting world of machine learning using two of the most popular tools in the industry: Python and PyTorch. This course focuses on practical, hands-on learning, ensuring you gain the skills needed to start building your own machine learning models. #### Course Objectives: - **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning. - **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications. - **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework. - **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises. - **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models. #### Course Outline: 1. **Introduction to Machine Learning:** - What is machine learning? - Types of machine learning: supervised, unsupervised, and reinforcement learning - Applications of machine learning in different industries 2. **Python Programming Essentials:** - Introduction to Python programming - Data structures and libraries (NumPy, Pandas) - Basic data manipulation and visualization (Matplotlib, Seaborn) 3. **Getting Started with PyTorch:** - Introduction to PyTorch and its ecosystem - Setting up your environment and installation - Understanding tensors and basic tensor operations 4. **Building Your First Machine Learning Model:** - Data preprocessing and preparation - Splitting data into training and testing sets - Building a simple linear regression model with PyTorch 5. **Training and Evaluating Models:** - Understanding the training process - Loss functions and optimization algorithms - Evaluating model performance using metrics 6. **Advanced Models and Techniques:** - Introduction to neural networks - Building and training a neural network with PyTorch - Exploring convolutional neural networks (CNNs) for image classification 7. **Practical Projects and Applications:** - Hands-on projects to reinforce learning - Real-world applications and case studies - Tips and best practices for successful machine learning projects 8. **Next Steps in Your Machine Learning Journey:** - Exploring further learning resources - Joining machine learning communities and forums - Preparing for advanced topics and courses #### Who Should Enroll: - Beginners with no prior experience in machine learning - Individuals interested in learning Python programming - Aspiring data scientists and machine learning enthusiasts #### Prerequisites: - Basic computer literacy and familiarity with high school-level mathematics - No prior programming or machine learning experience required #### Course Outcomes: By the end of this course, you will be able to: - Understand the fundamental concepts of machine learning - Write and execute Python code for machine learning tasks - Use PyTorch to build, train, and evaluate machine learning models - Apply your knowledge to real-world problems and projects - Take the next steps in advancing your machine learning skills Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.