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This comprehensive program offers a deep dive into the world of computer science and programming, covering two essential areas: algorithms and Python. It is designed for beginners, as well as those looking to strengthen their skills in these areas. Part 1: Fundamentals of Algorithms In this first section, we'll explore the fundamental concepts of algorithms, including data structures, sorting techniques, searching, algorithmic complexity, and more. You will develop the ability to design, analyze and optimize algorithms to solve a variety of problems. Part 2: Programming in Python The second part of the course focuses on programming in Python, a language prized for its simplicity and versatility. You'll learn the basics of Python, including commonly used variables, loops, functions, and libraries. You will put your knowledge into practice by automating tasks, developing web applications, and performing data analysis. This comprehensive course is ideal for those who want to gain a solid foundation in computer science, from theory to practice. Whether you're an absolute beginner or looking to expand your programming skills, this program will help you achieve your goals

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Python is the most widely used open source programming language for computer scientists. This language has propelled itself to the forefront of infrastructure management, data analysis and software development. Indeed, among its qualities, Python allows developers to focus on what they do rather than how they do it. It has freed developers from the constraints of form that occupied their time with older languages. Thus, developing code with Python is faster than with other languages. I'm a software engineer who likes to share what I do. I benefit by teaching and motivating people. I am used to working with people of different ages. I believe in segmentation, progress visualization, objective results and practice. the training program: Python #1: Introduction & coding first program Python #2: Variables & Operations Python #3: Conditions & Loops Python #4: Functions & Modularity Python #5: Introduction to object programming Python #6: classes & attributes Python #7: encapsulation & inheritance properties Python #8: Strings & Lists & Tuples & Dictionaries Python #9: Files

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Mathematics is fascinating because it finds applications in all areas of human activity as well as in the observation and study of natural phenomena. As Galileo said, the book of natural laws is written in mathematical language. And yet, too often, they are taught in an uninviting way with rote recitation instead of seeking to awaken the (natural) curiosity of the learner. All humans, in their early childhood, have gone through the "why" phase. This phase proves the natural curiosity and the taste for seeking to understand how the world around us works. That's what math is all about: curiosity and the taste for seeking to understand how systems work. Whether they are numerical, geometric, or information systems like the ones we use every day. Every prompt or query you type into your favorite language model (whether American, Chinese, or European) is automatically transformed into a mathematical statistical calculation to be processed by artificial intelligence. In short, math is everywhere, so we might as well rediscover our natural curiosity to better understand it and its usefulness.

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In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments. Contact me if you want to have more information about the course!

You found an old file—something important, maybe even sentimental—but your computer just won’t open it. Or maybe you’re dealing with a custom software system that uses a weird, proprietary format. What now? I specialize in rescuing, translating, and reverse-engineering data formats that most people don’t even recognize. Whether it’s a corrupted calendar file from a PDA or a bizarre export from a dead program, I approach it like a digital archaeologist. It’s not magic—it’s patience, logic, and deep technical skill. If something should work but doesn’t, let me figure out why.

Java is one of the most important of all computer programming languages. But learning Java can seem like a daunting task. Not any longer! In this course I will train you well in Java Programming step-by-step. Starting from basis right through the more advanced topics. No prior knowledge is required. Course outlines: - Objected Oriented Programming concepts (OOPS) - Core Java Programming Introduction of Java - Data types and Variables - Methods - Control Flow Statements - Operators and Expressions - While and do-while Loops - Object-oriented Programming - Objects and classes - Using Java Objects - Java Files and I/O - Interfaces and Abstract Classes - Inner Classes

Empower young minds to create their own mobile apps with this fun and interactive course! Designed for children aged 9 to 13, this course introduces app development using MIT App Inventor, a beginner-friendly platform that makes coding easy and exciting. Students will learn the basics of programming, user interface design, and problem-solving as they build their own functional Android apps. Through hands-on projects and creative challenges, they will develop logical thinking and digital skills while bringing their ideas to life. No prior experience is needed—just curiosity and a passion for technology!

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