Introduction to Python Computer Programming

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.

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In digital and computer science (NSI), the program aims to appropriate the methods and main concepts that underlie computer science (algorithms, digital data, HMI interfaces, languages, connected objects, networks and operating systems), in its scientific and technical dimensions. It is a question of appropriating the foundations of computer science to prepare for a continuation of studies in higher education, by training in the practice of a scientific approach and by developing one's appetite for research activities. . The teaching of digital and computer science (NSI) is based on a necessary mastery of prior digital skills and in particular deepens the practice of programming through activities related to the main parts of the program: Data Representation: Basic Types and Values Data Representation: Constructed Types Data processing in tables Interactions between man and machine on the web Hardware architectures and operating systems Languages and programming Algorithmic This involves developing the following skills: analyze and model a problem in terms of information flow and processing; break down a problem into sub-problems, recognize situations already analyzed and reuse solutions; design algorithmic solutions; translate an algorithm into a programming language, specify interfaces and interactions, understand and reuse existing source codes, develop program development and validation processes; mobilize useful concepts and technologies to ensure the functions of acquiring, memorizing, processing and disseminating information; develop abstraction and generalization skills. Transversal skills are also worked on: demonstrate autonomy, initiative and creativity; present a problem or its solution, develop an argument within the framework of a debate; cooperate within a team within the framework of a project; search for information, share resources; make responsible and critical use of IT. This teaching contributes in particular to the acquisition of digital skills. It is also a question of developing oral skills, in particular through the practice of argumentation.

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.

Advanced Courses: Physics from Secondary to University and Advanced Python Programming Focused on Efficiency Explore the frontiers of scientific knowledge and computer programming with our unique advanced course. This integrated program offers an in-depth approach to physics from high school to university level, while emphasizing efficiency in advanced programming in Python. Physics from Secondary to University: Immerse yourself in the wonders of physics, from fundamental high school concepts to the exciting challenges of college. Topics include mechanics, electromagnetism, optics, thermodynamics and much more. Our instructors, experts in their field, guide students through hands-on demonstrations, computer simulations, and laboratory experiments to strengthen understanding of the physical laws that govern our universe. University courses focus on specialized areas, such as quantum physics, relativity, and interdisciplinary fields. Research projects provide students with the opportunity to explore practical applications of physics in a variety of fields. Advanced Python Programming Focused on Efficiency: In the programming component, the course looks at taking Python skills to an advanced level, emphasizing code efficiency. Participants will learn advanced programming techniques, efficient resource management, code optimization, and leveraging advanced Python features. Advanced topics such as concurrent programming, big data manipulation, and complex application development are covered. Students will have the opportunity to work on practical projects, implementing innovative and optimized solutions. Teaching Methodology: The teaching approach is based on a combination of lectures, tutorials and research projects. Students are encouraged to actively participate in discussions, collaborate on projects, and apply their knowledge in practical ways. Experienced instructors provide personalized coaching to maximize each student's potential. Course Objectives: 1. Gain an in-depth understanding of physical principles, from high school to university. 2. Master advanced Python programming focused on efficiency. 3. Develop practical skills through research projects and computer applications. 4. Prepare students to tackle complex challenges in physics and programming. Join our advanced course to discover the exciting marriage between physics and advanced programming in Python, and develop your expertise in these dynamic areas.

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.

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The course module is adapted to the student. You will earn: ▪️ An integrated digital marketing strategy based on your own organizational context. ▪️ Skills to effectively analyze and leverage data to make breakthrough data-driven decisions. ▪️ A future perspective on marketing and an overview of how to use emerging digital channels and technologies, such as artificial intelligence (AI) and chatbots, within your organization. ▪️ Accept the challenges and opportunities of disruptive technology in your digital marketing strategy.

Native Android development allows you to harness the full power of the platform, creating applications that are not only performant but also provide a seamless user experience. By leveraging the rich ecosystem of tools and libraries, you can build apps that truly resonate with users, ensuring they are fast, responsive, and deeply integrated with the Android operating system. In this class we learn about topics like: 1. Introduction to Android. 2. Introduction to "Android Studio" IDE. 3. Different files in Android Studio. 4. Create your first "Hello World" Android Application". And Unlock the world of mobile technology by diving into native Android application development. This comprehensive course is designed for aspiring developers eager to learn how to create robust, high-performance applications using Kotlin and Java. Participants will gain hands-on experience with Android Studio, explore the Android SDK, and understand the intricacies of user interface design, data management, and network operations. Throughout the course, you will engage in practical projects that mimic real-world scenarios, enhancing your problem-solving skills and preparing you for a career in mobile development. By the end of this journey, you'll be equipped with the tools and knowledge to build innovative applications that meet the needs of users and stand out in the competitive app marketplace.

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What You Will Learn: Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation. Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis. Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio. How You Will Benefit: Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career. Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance. Professionals: Enhance your skill set to meet industry demands and open up new career opportunities. Why Choose My Courses?: Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support. Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding. Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.

Python is a very powerful and multi purpose tool. Image analysis, data analysis. Do you want to create your own software? Do you want to manage your own hardware? For who may want to learn Python or need help for a project I would gladly help you with that!

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This Python course teaches you the basics of programming in Python, including variables, data types, operators, control structures (if, for, while), functions, and lists. You will also learn how to manipulate data with libraries such as Pandas and NumPy, create graphs and visualizations with Matplotlib and Seaborn, and even develop simple web applications with Flask or Django.