Python Learning through Practical Projects - Tutor with 16 Years of Teaching Experience

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.

What You Will Learn: Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation. Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis. Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio. How You Will Benefit: Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career. Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance. Professionals: Enhance your skill set to meet industry demands and open up new career opportunities. Why Choose My Courses?: Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support. Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding. Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.

Curso de Python dese 0 hasta orintacion a objeto. --> map, filters,reduce --> Compresiones --> Esctructuras sequenciales -->LLibrerias Aprende python para poder ser un buen data science, machine learning enginear, data analytics, code developer.

Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.

Computer Science is more than just code—it's the foundation of innovation in today's world. In this comprehensive live class, I’ll guide you through everything from the basics of Computer Science to Object Oriented Programming (OOP), Data Structures & Algorithms (DSA), and advanced computing concepts. We’ll cover: Core Programming Languages: Python, C, C++, Java, JavaScript, and more AP Computer Science Preparation Hands-on Project Development Artificial Intelligence, Data Science & Machine Learning I can teach in my own structured style or fully adapt to your preferred curriculum, pace, and goals—whatever helps you learn best. Whether it’s exam prep or real-world projects, we’ll build your Computer Science skills your way.

Are you ready to master the world of coding, whether you're just starting out or looking to level up your skills? Join my personalized tuition classes, where programming isn't just taught — it's understood. I don’t just teach you to write code — I help you understand why it works. You’ll develop problem-solving skills that make you confident in interviews, exams, and real-life projects. Whether you’re a beginner struggling with syntax or an advanced learner building projects, I adjust the pace and depth to match your level. From Python’s simplicity and power, to Java’s OOP strength, and C++’s performance and control — I’ll help you master the languages that open doors in software development, data science, and competitive programming. We’ll work through real problems, write clean code, debug together, and build a portfolio that actually shows what you can do. My classes are student-centered and interactive. I make sure you’re never afraid to ask questions — because that's how real learning happens.

In this course, you'll learn Python from the ground up, starting with the basics and progressing to more advanced concepts. You'll gain hands-on experience writing Python code, working with data structures, and using libraries to solve real-world problems. By the end of the course, you'll be confident in your ability to write Python programs, automate tasks, and tackle challenges in various domains.

Python is a popular programming language. Thousands of businesses have built their websites with Python, including Google, Facebook, Dropbox, Instagram, and Reddit. Python is used for all sorts of tasks, such as building websites, gaming, site vacuuming, data analysis, machine learning and natural language processing, or even simple applications. The Python language is designed to be easy to read without sacrificing its power, which makes it a great language for beginners. Why should you learn Python? Python is easy to learn Python is a language of choice, i.e. for general use (application, games, website, etc.) Python is a versatile and cross-platform language Python has one of the most mature package managers Python is a commonly used language in data science Python is cross-platform and open source And the most important reason: If you want to add a language to your existing library, the demand for Python programmers is huge. To take this course you do not need any prerequisites, any development skills! It is also suitable for developers wishing to learn Python. If the adventure tempts you then join the participants who have already trusted me for their learning!!! Who is this course for? Anyone wishing to learn python. University students majoring in computer science. Development novices, because it is the ideal language to start Developers wishing to add a language to their skills

💻 Introduction to Python and Algorithmic Programming Full title: Python programming and introduction to algorithms for beginners and high school students (high school & university level) (100% distance learning — for high school students, college students, beginners or adults retraining) Programming is an essential skill today, whether for studies, personal projects, or the professional world. But when you're just starting out, it's easy to feel lost when faced with seemingly complex lines of code or computer logic. That's where I come in! With a progressive, caring, and structured approach, I help students get to grips with Python—one of the most accessible and powerful languages—while discovering the basics of algorithms in a simple and concrete way. My goal is to transform the apprehension of coding into curiosity and joy of learning, and to lay solid foundations so that each student progresses with confidence. 🎯 Course objectives Learn the fundamentals of Python programming from scratch. Develop logical and algorithmic reflexes. Understand and build simple but useful programs. Inspire a taste for programming through accessible and concrete projects. 📚 Course content ✔ Python Basics – Syntax, indentation, comments – Variables, data types (numbers, strings, lists...) – Conditions (if, elif, else) – Loops (for, while) – Simple functions – Notions of modules and libraries ✔ Algorithms for beginners – Understand what an algorithm is – Writing in pseudo-code and Python – Sorting algorithms (bubble sort, insertion sort, etc.) – Searching for items in a list – Getting Started with Recursion – Simple optimization and complexity ✔ First practical projects – Creation of mini-games (e.g.: guess the number, rock-paper-scissors) – Simple calculator or unit converter – Automation of basic tasks (for example: automatic sorting of a list of students) – Small personalized projects based on the student’s interests 🧭 How the sessions work 1️⃣ Assessment of level and objectives (complete initiation, reinforcement, preparation for a competition or a project). 2️⃣ Tailor-made progression plan, with concepts covered step by step. 3️⃣ Alternating theory/practice to quickly develop autonomy. 4️⃣ Exercises, mini-challenges and projects to apply each concept learned. 5️⃣ Corrections and detailed explanations for each difficulty encountered. 6️⃣ Personalized monitoring, with regular assessments and continuous adaptation of the pace. 🌍 100% online courses – modern and adapted teaching methods Sessions via Zoom, Google Meet, or any other tool of your choice Interactive materials provided after each session: annotated codes, PDF files, exercises, tutorials Flexible hours, compatible with busy schedules and time differences (ideal for students living in the Gulf countries or elsewhere) Possibility of individual or small group lessons (siblings, classmates, etc.) 👨‍🎓 For whom? High school students or students in a technology/science stream wishing to prepare for higher education Students at the beginning of a computer science or science course Adults in professional retraining, curious to learn to code Complete beginners wishing to develop their digital skills With me, you'll learn to think like a programmer, not just copy code. You'll gain logic, rigor, and autonomy—valuable assets for the future. If you have any questions or would like to discuss the most suitable path, please do not hesitate to contact me. I am here to guide you with enthusiasm and kindness.

I am currently working as an independent consultant, technical writer, online teacher 🧑‍🏫 and course content developer in Python, and a wide range of Machine/Deep Learning topics 🧑‍💻. My experience enables me to offer lessons ranging from beginner to advanced levels. I can tailor the classes to your specific needs and schedule, providing a well-structured learning path 🚀. What do you get from me? 👉 Learn at your own pace without any pressure 👉 Well-documented tutorials What topics do I usually cover at the beginning for people without Python experience? ✔️ Understanding the basic concepts (variables & types) ✔️ Math & Statistics (explained easily) ✔️ Data Manipulation (data cleaning, preprocessing...) What topics do I cover for people with Python experience? ✅ Classic libraries: Pandas, NumPy, Scikit-learn, TensorFlow ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Neural Networks, Ensemble Methods, Clustering, Dimensionality Reduction ✅ MLOps: MLflow, Prefect, GCP, AWS Whether you are new to the field, seeking to enhance your skills, or require assistance with a work/school project, feel free to reach out to me! 😉

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.

Are you interested in learning to program from scratch or improving your current skills? I offer private programming classes tailored to your level and goals. What will you learn? - Programming fundamentals (variables, control structures, functions, logic, etc.) - Languages like Python (ideal for beginners, automation, data science) and JavaScript (key for web development). - Good practices and logical thinking. - Practical projects to reinforce what has been learned. Mode - Flexible schedules - Support material included - Guided exercises and personalized follow-up Who is this for: - Students, professionals from other fields, or anyone who wants to get started or delve deeper into the world of programming. Learn to program in a clear, practical way, focused on your goals.

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.

This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding. Online Course: Introduction to Python - Programming Basics and Simple Applications Duration : - 60 minutes: intensive format to learn fundamental concepts. - 90 minutes: In-depth format with more time for practical examples and interactive questions. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops. 2. Write and run simple Python scripts. 3. Manipulate inputs and outputs to interact with the user. 4. Solve practical problems with short, functional programs. --- Course syllabus 1. Introduction (10-15 min) - Presentation of Python: Why this language? - Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook). - First program: *"Hello, World!"*. 2. Python Basics (20-30 min) - Variables and data types (integers, strings, lists). - Mathematical operations and data manipulation. - Conditional structures (if/else) and loops (for/while). 3. Practical exercises (20-35 min) - Write a program to calculate the sum of two numbers provided by the user. - Create a simple application, like a currency converter or password generator. - Bonus for 90 min format: Fixed a more complex issue involving lists or loops. 4. Q&A and conclusion (5-10 min) - Summary of the concepts covered. - Suggestions for resources to continue learning. - Feedback on the course. --- Teaching methodology - Interactive and engaging: the course combines theoretical explanations with practical exercises. - Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time. - Learning by doing: examples and exercises are designed to help you assimilate concepts quickly. --- Target audience This course is ideal for: - Complete beginners in programming. - Students or professionals wishing to acquire skills in Python for their personal or professional projects. - Anyone curious to discover a powerful and versatile tool for solving problems. --- Benefits of this online course - Teaching by an experienced and passionate trainer. - Interactive sessions adapted to your learning pace. - Access to educational materials and exercises to continue practicing after the course. Join us now to discover programming and its applications using Python! ---

This course offers a progressive introduction to algorithmic thinking and Python programming. Through clear explanations, concrete examples, and practical exercises, learners will discover how to analyze a problem, design an efficient algorithm, and then translate it into Python code. No prior programming experience is required: this course is aimed at beginners who are curious to learn to code by solving problems in a logical and structured way.