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Computer science is a field of scientific, technical, and industrial activity concerning the automatic processing of digital information by the execution of computer programs hosted by electrical-electronic devices: embedded systems, computers, robots, automatons, etc.

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I am an associate professor of electrical engineering I offer courses in everything related to the discipline of electrical engineering: CPGE / BTS / DUT / IUT / DTS / UNIVERSITY / Technical high school ARCHITECTURE OF A PROGRAMMED SYSTEM INTERNAL AND EXTERNAL APPEARANCE INPUT/OUTPUT MANAGEMENT timeouts timers, watchdog PIC 16F8X 16F8XX PROGRAMMING INTERRUPTIONS MANAGEMENT ASSEMBLER PROGRAMMING PROGRAMMING IN C MACHINE CONTROL SOFTWARE SIMULATION MPLAB MIKROC ISIS/PROTEUS

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Both the algorithm and the C language are of considerable importance in the field of computer science and programming. Here is their respective importance: Importance of algorithms: Problem Solving: Algorithms are essential for solving complex problems, whether related to computer science or other fields. They help describe a sequence of logical steps to achieve a specific objective. Efficiency: A good algorithm can improve the efficiency of computer programs. By designing optimized algorithms, one can reduce execution time and memory usage, which is crucial for resource-intensive applications. Code Structuring: Algorithms help organize code in a logical and systematic manner. They allow developers to break down a complex problem into smaller, manageable sub-problems. Reusability: Well-designed algorithms are reusable. Once an algorithm is created and tested, it can be applied to different similar situations. Foundation of Artificial Intelligence: Algorithms are at the heart of artificial intelligence and machine learning. They enable systems to process data, detect patterns and make intelligent decisions. Importance of C language: Portability: C language is widely used to develop software that can be run on different platforms. Its portability makes it a popular choice for embedded systems, operating systems and cross-platform applications. Performance: The C language allows more precise control of system resources, making it particularly suitable for applications requiring high performance. Memory Access: The C language provides direct access to memory, through the use of pointers, which allows developers to efficiently manage memory and optimize resource usage. Basis of Many Other Languages: Many other modern programming languages have been influenced by C language. So, good knowledge of C language makes it easier to learn other languages. System Development: The C language is used to develop operating systems, device drivers, and other low-level software needed to run a computer. In short, understanding algorithms and mastering the C language are essential skills for developers and IT professionals. These skills enable the creation of high-performance, efficient and robust software, which contributes to the advancement of technology and the improvement of the applications and systems we use every day.

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Python is the most widely used open source programming language for computer scientists. This language has propelled itself to the forefront of infrastructure management, data analysis and software development. Indeed, among its qualities, Python allows developers to focus on what they do rather than how they do it. It has freed developers from the constraints of form that occupied their time with older languages. Thus, developing code with Python is faster than with other languages. I'm a software engineer who likes to share what I do. I benefit by teaching and motivating people. I am used to working with people of different ages. I believe in segmentation, progress visualization, objective results and practice. the training program: Python #1: Introduction & coding first program Python #2: Variables & Operations Python #3: Conditions & Loops Python #4: Functions & Modularity Python #5: Introduction to object programming Python #6: classes & attributes Python #7: encapsulation & inheritance properties Python #8: Strings & Lists & Tuples & Dictionaries Python #9: Files

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