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Computer programming lessons in Bouskoura

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36 computer programming teachers in Bouskoura

Sound (music) · Computer programming · Ableton live
Trusted teacher: I am a freelancer who graduated from the University of Westminster, where I began my journey into programming. During my studies, I started applying programming skills to solve physical and mathematical problems. Since then, I’ve developed a passion for continuous learning and have expanded my expertise in data implementation and software development. For the past 16 years, I have been offering private programming lessons, helping students of all ages and backgrounds, from beginners to advanced learners. Whether you're a student looking to build a project portfolio, prepare for an exam, or a professional aiming to learn Python through practical applications, I can help you reach your goals. What I Offer: Learn Python by building projects: From the basics to more advanced concepts, you will learn programming through hands-on experience, working on real-world projects that solidify your understanding. Customized lessons: I tailor each lesson to your learning style and needs, whether you're just starting out or looking to deepen your skills. Project support: Whether you're working on a portfolio, completing a boot camp project, or preparing for an exam, I offer guidance and assistance to help you succeed. Step-by-step approach: Before each lesson, you'll receive study materials and exercises designed to help you grasp the concepts we’ll cover. Afterward, you'll receive homework to reinforce what you've learned. Flexible online lessons: Learn from the comfort of your home with flexible scheduling. I currently work as a freelancer, collaborating with companies, startups, and schools to deliver online programming classes. If you’re eager to learn Python in a practical, engaging way, or if you have any questions, feel free to send me a message - I will surely reply. Thank you, Alex
Python · Computer programming · Database
Trusted teacher: <Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
Software engineering · Computer programming
Trusted teacher: Course Description: CAN/LIN Protocols in Embedded Systems Course Title: Embedded Systems Communication: CAN/LIN Protocols Course Overview: The "Embedded Systems Communication: CAN/LIN Protocols" course is designed to provide students with a comprehensive understanding of the Controller Area Network (CAN) and Local Interconnect Network (LIN) protocols used in embedded systems. The course aims to equip students with the necessary knowledge and skills to design, implement, and troubleshoot communication systems based on these protocols. Through a combination of theoretical lectures, hands-on lab exercises, and practical projects, students will gain a deep understanding of CAN/LIN protocols and their applications in various industries. Course Objectives: 1. Understand the fundamental principles and concepts of CAN/LIN protocols. 2. Learn about the structure and architecture of CAN/LIN networks. 3. Explore the advantages, limitations, and trade-offs of using CAN/LIN in embedded systems. 4. Gain practical experience in designing and implementing CAN/LIN communication systems. 5. Develop skills in troubleshooting and debugging CAN/LIN networks. 6. Explore real-world applications of CAN/LIN protocols in automotive, industrial, and other embedded systems. 7. Understand the integration of CAN/LIN protocols with other communication interfaces. Course Outline: Module 1: Introduction to CAN/LIN Protocols - Overview of embedded systems communication - Evolution and history of CAN and LIN protocols - Comparison of CAN and LIN with other communication protocols - Application areas and industry standards Module 2: CAN Protocol Fundamentals - CAN bus architecture and components - Physical and data link layers of the CAN protocol - Message formats, identifiers, and addressing - Error detection and fault tolerance mechanisms - CAN protocol timing and synchronization Module 3: LIN Protocol Fundamentals - LIN network topology and components - LIN frame structure and message types - Master-slave communication and scheduling - LIN protocol configuration and initialization - Fault detection and handling in LIN networks Module 4: CAN/LIN Network Design and Implementation - Hardware requirements for CAN/LIN communication - CAN/LIN transceivers and controllers - Network topology and node addressing - Bus arbitration and message prioritization - Software development for CAN/LIN systems Module 5: CAN/LIN Network Diagnostics and Troubleshooting - CAN/LIN network analysis tools and techniques - Error detection, fault localization, and error recovery - Diagnostic trouble codes and error reporting - Strategies for debugging and optimizing CAN/LIN systems Module 6: Applications of CAN/LIN Protocols - CAN/LIN in automotive systems: vehicle networks, diagnostics, and control systems - CAN/LIN in industrial automation: process control, sensors, and actuators - CAN/LIN in consumer electronics and home automation - Integration of CAN/LIN with other communication interfaces (e.g., Ethernet, SPI, I2C) Module 7: Project Work - Hands-on projects involving the design and implementation of CAN/LIN communication systems - Real-world case studies and application development - Team-based projects to apply the acquired knowledge and skills Prerequisites: - Basic knowledge of embedded systems and microcontroller programming - Understanding of digital electronics and computer architecture - Familiarity with C or C++ programming language - Passionate about the automotive field Assessment Methods: - Quizzes and exams to assess theoretical knowledge - Assignments to evaluate practical implementation skills - Project work and presentations to assess application and problem-solving abilities By the end of this course, students will have a solid foundation in the theory, implementation, and troubleshooting of CAN/LIN protocols in embedded systems. They will be prepared to work on projects and develop communication systems based on CAN/LIN, enabling them to contribute to various industries where embedded systems play a crucial role.
Electronic circuits · Computer programming · Automotive engineering
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 27 reviews.

Computer Science ( Python, Machine Learning, Robotics, Artificial Intelligence) (Vienna)
Negar
negar is a great teacher! very patient and accommodating, and very good at explaining tough concepts. Her approach is very hands-on process-oriented and I feel like I'm actually learning something instead of just copying code. Would recommend!
Review by KLARA
Solve Python University Tasks With Professional 1:1 Online Tuition
Alexandros
Alexandros is a knowledgeable programmer and helped me successfully complete a challenging academic assignment for coding in Python. Alexandros is able to understand a problem, and help you formulate a proper response.
Review by CHRISTOS
Programming and Data Analysis, Matlab, Python, Fortran, SPSS
Nikolaos
Nikolas is a very depentable tutor with an abudant amount of knowledge in programming. He was very helpful in preparing me for my programming exam and I higly recommend him!
Review by KYRIAKOS