Object-Oriented Programming (OOP) & Data Structures and Algorithms (DSA) Tutoring in Java, C, C++, and Python

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This course provides a hands-on approach to mastering Apache Airflow, a powerful open-source workflow automation tool widely used in ETL (Extract, Transform, Load) processes. You will learn how to build, schedule, monitor, and optimize data pipelines, ensuring data reliability and efficiency in production environments. Through real-world examples and projects, you will gain the skills required to become a proficient Data Engineer capable of handling complex workflows in modern data ecosystems. This course will allow you to build multiple real-world ETL workflows using Apache Airflow. Let me know if you would like additional information! 🚀

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This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning. The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

Data analysis is a valuable skill for students in many fields, from business and science to social studies. As a student, you'll need to understand how to collect, organize, and interpret data to support your research, class projects, or future career goals. I’ve designed this course as a hands-on introduction to data analysis that's made specifically for students. You’ll learn how to use tools like Excel, Google Sheets, and basic Python to clean data, create charts and graphs, and draw meaningful conclusions from real datasets. This class will help you build strong analytical skills that will not only boost your academic performance but also prepare you for data-driven world.

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.

Hello! I’m an engineering student specializing in digital technologies, and I’m here to help collège (middle school) and high school students succeed in: 🔹 Math – from basic algebra to advanced functions and limits 🔹 Programming – C, C++, Python for beginners and intermediates 🔹 Introduction to Artificial Intelligence – perfect for curious students who want to explore tech early! 💡 My teaching style is clear, patient, and adapted to each student's pace. Whether you need help preparing for exams or understanding homework, I make lessons engaging and easy to follow. 📍 Lessons available online or in-person in [your city – e.g., Tunis]. Let's make learning fun and rewarding together!

the JAVA Spring programming language is the technology most used and demanded by the labor market. You must first master the first algorithmic (C, C++) to have a background that will facilitate the understanding of the object-oriented programming language ( JAVA).

With a PhD in Physics and over 15 years of teaching experience, I offer advanced and engaging physics classes tailored to a wide range of learners. My background includes the publication of more than 30 research papers, reflecting a deep expertise in the subject. I incorporate modern tools such as Python, GeoGebra, and other advanced educational technologies to enhance conceptual understanding and problem-solving skills. My teaching approach blends theoretical rigor with interactive, tech-supported learning to help students grasp complex concepts effectively and confidently.

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.

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.

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 class is specifically designed for children aged 8 to 13 who want to develop their logical and analytical skills and become expert coders in the future! The lessons will be taught based on the learning ability and understanding level of school children in this age group. We will cover all fundamental coding concepts that will help strengthen your logical thinking.

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! ---

The "Algorithms in Python" course is designed to teach you the fundamentals and advanced concepts of algorithms using the Python language. You will discover fundamental data structures, programming paradigms (iterative, recursive, divide and conquer, dynamic programming), and learn how to efficiently solve algorithmic problems. Through practical exercises and projects, you will develop essential skills for analyzing and optimizing algorithms, while improving your programming logic.