C# & Unity Programming Teacher (C, C++, Java, Javascript, Python, R, Php, Assembly, Mysql, MongoDB, HTML, CSS, and more...)

Data Structures and Algorithms are the building blocks that make up the solutions to all computational problems. Understanding how to organize data and about fundamental algorithms is essential for solving all computational problems now and in the future. If you truly want to understand computer science, start from here.

Learn Python and understand algorithms and data structures with simple, clear lessons. We'll cover key topics like sorting, searching, and recursion, with hands-on practice to build your skills. Perfect for beginners or anyone looking to improve their coding and problem-solving!

Doctor of Engineering and former university teacher, I offer computer science courses adapted to all levels, with a practical and interactive approach. My goal is to help you master the fundamentals of computer science while developing your skills to solve real-world problems and carry out technical projects. The topics covered include: Programming: Python, C++, Java and other languages according to your needs. Algorithms and data structures: Design, analysis and implementation. Practical applications: Development of concrete projects, programming and software optimization. Each course is personalized according to your level, whether you are a beginner, an advanced student or a professional in retraining. With clear explanations and practical examples, you will gain confidence and skills to achieve your goals.

Start with the fundamentals like variables, loops, and conditionals, and progress to more advanced concepts including manipulating files, images, and using Python libraries like Numpy, Scipy, Pandas, and Matplotlib. Also explore the fundamentals of object-oriented programming. Why choose this Course? By opting for these courses, you will have the opportunity to consolidate your knowledge through practical exercises and concrete mini-projects which will strengthen your Python skills. Each session will be interactive, allowing you to ask questions and receive constructive feedback on your code. You will be able to benefit from personalized support. Lessons are tailored to your level, whether you're looking to pursue a career in programming or just want to learn for fun. Sessions are tailored to your goals, and ongoing support is provided to overcome any challenges you may encounter.

I can teach most of programming languages, and coding as well.. being a computer science engineer I have a good idea about computer softwares in general and have an idea about hardware. My Arabic background gives me ability to deal with Arabian children.

Personalized Tutoring for Learning Coding and Programming in Python This online tutoring program is designed to provide you with personalized learning in computer programming with the Python language. Whether you are a complete beginner, a student looking to deepen your knowledge, or a professional eager to master Python, this course adapts to your level and specific needs. By covering the fundamentals of programming, advanced data structures, and complex problem solving, this tutoring will help you acquire the skills needed to excel in software development, data analysis, and artificial intelligence. --- Why choose this program? - Personalized approach: Each session is perfectly adapted to your specific needs and your learning pace. You have the opportunity to ask questions at any time and benefit from personalized follow-up between each session. - Interactive methodology: Practical learning with concrete exercises, case studies and real projects to allow you to directly apply theoretical concepts. - Flexibility of formats: Choose between 60, 90 or 120 minute classes depending on your goals and schedule. - Practice-oriented course: Programming is a field that is learned by doing, each course includes a large part of practice to consolidate the acquired knowledge. --- Course content: Beginner level: 1. Introduction to Python: - Basic syntax, data types (integers, strings, lists, dictionaries, etc.). - Control structures: conditions (if, else), loops (for, while). - Functions and arguments: creation and use of functions. 2. Object-oriented programming (OOP): - Introduction to OOP: classes, objects, attributes and methods. - Encapsulation, inheritance, polymorphism and abstraction. - Implementation of OOP in simple projects. 3. Introduction to file management: - Reading and writing text and CSV files. - Data manipulation for real applications. --- Intermediate level: 1. Advanced data structures: - Advanced lists, stacks, queues and dictionaries. - Algorithm concepts: sorting, searching, algorithmic complexity. - Use of Python libraries: NumPy, Pandas for data manipulation. 2. Error and exception handling: - Introduction to exceptions and error handling in Python. - Creation of custom error messages and handling of common exceptions. 3. Practical projects: - Development of medium-sized projects, such as simple games or data management applications. - Solving real-world problems, such as analyzing data from external files. --- Advanced level: 1. Advanced Libraries and Practical Applications: - Introduction to libraries for web development (Flask, Django) and data analysis (Matplotlib, Seaborn). - Applications of Python in artificial intelligence and machine learning with libraries like TensorFlow or scikit-learn. - Implementation of complex projects using data analysis and visualization tools. 2. Code optimization: - Techniques to improve the performance of Python code. - Memory management and algorithm optimization. 3. Advanced projects: - Development of complex projects in Python such as web applications, data analysis or large-scale data processing tools. --- Course schedule: - 60 minutes: Ideal for tackling a specific topic, working on an exercise or exploring a concept in a targeted manner. - 90 minutes: Allows for a more in-depth exploration of concepts, with concrete examples and interactive exercises. - 120 minutes: Intensive format for revisions, completing complete projects or studying more advanced concepts. Each session includes: 1. Theoretical introduction: Quick review of key concepts or introduction to new topics. 2. Live Practice: Applying concepts with exercises or code in real time, allowing for active learning. 3. Projects: Construction of real projects to put into practice the knowledge acquired. 4. Questions and answers: Time dedicated to clarifying difficult points or problems encountered during the session. --- Resources and tools provided: - Teaching materials: Detailed course documents, practical exercises, projects to complete. - Interactive platform: Use of digital whiteboards, screen sharing to visualize code, and real-time collaboration tools. - Personalized monitoring: You can ask questions outside of class, receive feedback on your projects and benefit from progress monitoring. --- About the trainer: A Python programming expert with several years of experience in teaching and practicing software development. With clear and practice-oriented pedagogy, the trainer will help you move from beginner to intermediate or improve your skills if you are already familiar with the Python language. --- Book your course now! If you want to learn Python programming in an efficient, flexible and practical way, this tutorial is for you. Sign up today to start coding with confidence and progress quickly!

I am a data engineering specialist. I can teach you Python programming, I can also teach you algorithms, data structures, or we can have a session to discuss any questions you have about the software and data engineering job market requirements. How can you draw your study and career plan to succeed in the job market?

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! ---

I offer an online introductory course to Python programming. The course is divided into 24 sessions, each session lasts 1 hour. The participant will learn at their own pace and will benefit from the expertise and teaching skills of a teacher with a doctorate in computer science. At the end of the course, the participant will master the fundamental concepts of Python programming.

This class is for anyone who wants to enter the world of computer programming, or those first semester engineering students who are becoming familiar with these languages. - I want to develop in the student the logic to communicate with the computer so that he can create programs and awaken his creativity. - I think that computer programming has too wide a field of application, which makes it almost useful for anyone in today's technological world to know how to program. - Programming is not only useful but fun and can help us understand concepts from other areas or from life itself.

Doctor in Materials Physics and Chemistry, graduated from the University of Paris-Saclay. I have extensive experience in physics and chemistry, with a particular interest in teaching and popularizing science. Passionate about sharing knowledge, I support undergraduate students in their understanding of fundamental concepts in physics.

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.

C# is the programming language approved by Microsoft, the leading software company in the world. In the course, you will learn how to create complete programs such as managing a restaurant, company, law firm, point of sale, real estate management programs, clinics, institutes, universities, etc., so that you can sell and market software on the Internet and gain a strong career to support you in your professional life.

Master the Fundamentals: My tutoring sessions are designed to give students a solid foundation in Object-Oriented Programming (OOP) and Data Structures and Algorithms (DSA). Whether you're a beginner or need to strengthen your skills, we will cover the essential concepts that are critical for coding and software development. Language Flexibility: I offer tutoring in Java, C, C++, and Python, providing flexibility for students to learn in the language they are most comfortable with or the one required for their academic needs. We’ll compare the nuances of these languages to help you develop a deeper understanding of programming concepts. Comprehensive OOP Concepts: Learn the core pillars of OOP—encapsulation, inheritance, polymorphism, and abstraction—and how to implement them in real-world coding projects. My lessons focus on making these abstract concepts easy to grasp through hands-on practice and examples. Data Structures & Algorithm Mastery: From arrays, linked lists, and stacks, to more complex structures like trees, graphs, and hash tables, I guide students through the implementation and usage of these critical data structures. We’ll also explore fundamental algorithms like sorting, searching, recursion, and dynamic programming, ensuring you can tackle coding problems efficiently. Problem-Solving Skills: I focus on building strong problem-solving skills and critical thinking. We’ll work on a variety of programming challenges, competitive coding exercises, and real-world applications that sharpen your logical reasoning and coding proficiency. Interactive & Engaging Learning: Every session is interactive, with plenty of coding exercises, real-time debugging, and immediate feedback. You’ll walk away with a thorough understanding of how to apply programming concepts in a practical way. Exam Preparation & Beyond: Whether you're preparing for school exams, coding interviews, or personal projects, my tutoring is geared toward equipping you with the skills and knowledge you need to succeed. I also provide practice problems and quizzes to ensure continuous learning and improvement.

I am a masters in robotics and Artificial intelligence. I can make sure that the students which get knowledge from me make a lot change not only in their lives but also in the society. The things which I will teach will be helpful for them in building good concepts about the subject.