Python, C/C++ Programming for All Levels: From Fundamentals to Advanced Libraries.

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.

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.

Code Your Ideas Into Reality 💻🚀 Want to build your own website or start a tech career? This class is perfect for absolute beginners who want to learn Python and use it to build real, working web apps with Django. You'll go from writing your first line of code to deploying complete projects - step by step, clearly explained, and handsOn. ✨ No experience needed. 🧠 Learn by doing - real apps, real logic. 🌍 Build skills for school, work, or freelance life. Let’s turn your curiosity into code. First session gets you started!

This course is for anyone who wants to learn to program in Python, whether you are a student, a professional, or simply curious. Python is one of the most widely used languages today, thanks to its simplicity and power. You'll learn how to write your first programs, manipulate data, automate tasks, and understand the essential foundations of modern programming. The objective is to make you independent in developing your own projects (scripts, small software, data analysis, etc.) and acquire a skill sought after in the academic and professional world.

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!

Need professional support for your data analysis? I offer you a personalized service, adapted to your academic or professional needs. Whether you are a student, researcher, consultant or professional, I put my expertise at your disposal to help you: Prepare and organize your databases, Perform reliable statistical analyses with R, Stata, SPSS... Interpret your results rigorously, Present your work in the form of clear reports, graphics and publications. Each project is handled with rigor, pedagogy, and confidentiality. You benefit from tailored support, whether for a professional assignment, a dissertation, a thesis, or a publication. For those who wish to train in parallel, I have also designed a complete course to learn how to explore, manipulate and analyze your data independently.

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.

We are a team of engineers passionate about programming. We offer Python tutoring courses suitable for all levels (beginners, advanced students, CPGE students, or anyone looking to develop their skills). Our courses combine essential foundations, practical examples and clear teaching to ensure solid and useful progress for both studies and careers.

Start your journey into the world of Python programming with this hands-on, beginner-friendly course and also for expert level. Whether you're completely new to coding or looking to expand your skills, this course will guide you through the core concepts of Python — from variables and data types to control structures, functions, and lists. As you build a strong foundation in programming, you'll also dive into the powerful data analysis capabilities of Python using popular libraries like Pandas and NumPy . Learn how to clean, process, and analyze real-world data sets to extract meaningful insights. Next, bring your data to life with stunning visualizations using Matplotlib and Seaborn , two of the most widely used data visualization libraries in Python. Finally, take your skills to the next level by building your own web applications using either Flask or Django — two of Python’s most popular web frameworks. By the end of this course, you’ll have a well-rounded understanding of Python programming, data manipulation, visualization, and web development — empowering you to create real-world projects and pursue further specializations.

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.

Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---

A lot of people are taking the shortcut of asking ChatGTP to code for them. Nothing wrong with that although this is typically not industry standard code and you do need to know the basics to be able to catch the small errors. As a lot of my code ended up in production, I would like to explain to you the hard lessons I learnt along the way and help you become a better developer!

About the course My approach as a private tutor is based on interactivity and practice. I firmly believe that learning to program isn't just about reading theory: you have to experiment, test, make mistakes, and understand why. That's why I favor interactive notebooks, combining clear explanations, concrete examples, and practical exercises. Each concept is immediately put into practice, making learning concrete and memorable. My teaching techniques and methods: Progressive examples: we start with small concepts and then gradually make them more complex. Guided exercises: I offer exercises with clues or steps to get the student thinking before coding. Immediate feedback: every mistake is a learning opportunity; we analyze bugs and misunderstandings together. Personalized support: I adapt my explanations to the pace and needs of the student, with illustrations or concrete analogies if necessary. I offer a 2-hour course that covers all the basics of Python so that the student in question can begin their studies with a very good foundation, but I also provide support by covering a little bit of everything in Python.

I teach a wide range of Data Science courses, including Data Analysis, Databases & SQL, Statistics, and Python, covering topics from beginner to advanced levels. My teaching approach emphasizes hands-on learning with real business datasets, allowing students to directly apply concepts to practical scenarios. I design and deliver curricula, labs, and projects that integrate data cleaning, visualization, machine learning, and predictive modeling. By balancing both theoretical foundations and applied problem-solving, I help learners build strong technical and analytical skills relevant to academic research and industry applications. Additionally, I mentor students on capstone projects and research initiatives, encouraging critical thinking, collaboration, and data-driven decision-making. Use the link below to locate my courses on Udemy: https://www.udemy.com/user/ridha-h-joudah/

In this course you will learn the basics of the Python Programming language through easy-to-understand assignments, interactive programs, and engaging visualizations. Teaching programming since 2022, I have worked with students of all ages in their pursuits to understand the ever-important knowledge of how to program, and more importantly, understand the programming.