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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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I offer a training course on the theme "Python Data Science and Machine Learning" intended for teacher-researchers, doctoral students and master's students. 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. Data science and machine learning skills are applicable in various research fields, including neuroscience, biology, sociology, anthropology, linguistics, etc. The objective of the training is to enable the participant to acquire skills in statistical analysis, research data management and data visualization. Participants will have the opportunity to acquire essential skills in data science and machine learning to analyze large datasets, identify trends, and better understand their research topic. The course guides the participant through the basic elements of the Python programming language and the main Python libraries dedicated to data analysis and visualization, including NumPy, Matplotlib, Pandas, as well as the Scikit-learn library dedicated to machine learning and the TensorFlow platform for deep learning. The course is divided into 16 sessions, each session lasting 2 hours. At the end of the course, the participant will master the fundamental concepts of Python Data Science and Machine Learning.

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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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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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Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. I can help you learn python step by step

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Hello, My name is Hassane, and I've been passionate about computers for over 20 years. With two decades of teaching experience, I've had the privilege of supporting learners of all ages and levels in developing their computer skills and achieving their professional and personal goals. Computer science is an essential skill today, opening the door to countless opportunities. Whether you want to learn programming, website design, data analysis, or complex problem-solving, I'm here to guide you every step of the way. What I propose: In my classes, we explore a wide range of topics to meet the needs of both beginners and advanced learners: Computer fundamentals: master the basics to get started, Hardware, Software, Binary, Operating system. Programming: learn to code efficiently in different languages (C#, Python, VBA). Web development: creating modern websites and applications. Databases: understanding, managing and analyzing data, UML, MERISE. Project management: Ms-Project, Agil, Scrum, Kanban Teaching methods: I adopt a dynamic and interactive approach to ensure a rich and enjoyable learning experience: Interactive courses: clear explanations adapted to your pace. Practical exercises: to immediately apply the concepts learned. Collaborative projects: developing real solutions as a team. Personalized monitoring: answer your questions and support your progress. Why choose me? 20 years of experience in computer teaching. Proven methods suitable for all levels. Personalized support to help you achieve your goals. A passion for passing on skills that make a difference. Whether you are a student, a professional looking to retrain, or simply curious, my courses will provide you with the tools you need to succeed in this rapidly evolving field. Join me today! Please contact me to learn more or to discuss your specific needs. Together, let's build your digital future. Hassane Experienced computer teacher and trainer

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Most kids think computer science is just boring math. I want to change that. In my class, we don’t just write lines of code; we create. I teach logic and programming (Python/Scratch) by building actual games and stories. I’m very patient with beginners. I want your child to realize that the computer isn't just a toy , it’s a superpower they can control.

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Are you ready to become the tech-savvy problem-solver everyone turns to? Join this dynamic, hands-on class designed to unlock your full potential across four essential pillars of the digital age: 🧮 Mathematics – Strengthen your logical thinking and problem-solving skills, the foundation of all great tech minds. 🐍 Python Programming – Learn to code smart, build real-world projects, and automate anything. Python makes it fun and powerful. 🌐 Networking – Understand how the internet works from the ground up. Routers, protocols, IPs – we’ll demystify them all. 🔐 Cybersecurity – Learn how hackers think, how to protect systems, and start your journey into ethical hacking.

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I am deeply convinced that programming can and should be accessible to everyone, regardless of age or starting level. Learning to code should not be reserved for a technical elite, but on the contrary, become a universal skill, transmitted in a progressive, adapted and above all fun way. When taught with appropriate tools, concrete examples and engaging activities, programming can become a real source of pleasure, creativity and self-confidence. I firmly believe that everyone can learn to program at their own pace, as long as the pedagogical approach is well thought out, caring and adapted to the needs of the learner. My goal is therefore to make this learning not only understandable, but also motivating, by showing that behind every line of code lies an opportunity for expression, problem-solving and innovation.

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Hello everyone, Thank you for taking the time to view my profile. I am a computer engineer. I have huge experience related to computer programming especially Python, C, and JavaScript. I will be happy to share with you my achievements via this excellent platform through the training that I will offer you. Looking forward to starting this learning journey with you. Thank you.

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Python is the perfect programming language to get started in the field. Learning programming isn't just for people looking to make a career out of it. Learning to program can help you better understand the computer world, and will give you an open mind that can only be beneficial, regardless of your area of expertise. It would be an honor for me, a student in electrical and computer engineering, to introduce as many people as possible to this practice, which will allow you to see problem solving from another mathematical and Cartesian perspective. I offer courses online as well as in person, for all ages and all profiles.

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Learn to code with a structured, high-quality private course designed to help you improve fast and build solid foundations. My name is Houssam. I represented Morocco twice at the International Olympiad in Informatics (IOI), and I’ve been deeply involved in programming for over a decade. What you’ll learn: - Algorithmic thinking and problem-solving - Python and C++ programming (from beginner to advanced) - Preparation for coding competitions (Olympiads, technical interviews) - Clean coding practices and development logic Each lesson is tailored to your current level and goals, with a focus on clarity, depth, and measurable progress. Perfect for those who want to learn programming seriously, sharpen their skills, or prepare for competitive exams. Teaching that is rigorous, clear, and motivating.

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Graduate teacher offers an individualized pedagogy, assistance with the preparation of questions or exams. My goal is to advance students without overloading them. --> Learn programming languages. --> Creation of desktop or web applications. --->Courses for beginners and experienced.

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I am a Data Scientist / Statistical Engineer who specializes in machine learning and data mining services. I have a great experience in the analysis of données and the mise in place of predictive models for the enterprises at the beginning of the decisions. He proposed designing machine learning and data mining services for companies to help on an additional level of public life. Message domains included: Aggression styles: linéaire, logistique, multinomiale, poisson, etc. Classification patterns: arbres de decision, forêts aléatoires, SVM, etc. Clustering: k-means, DBSCAN, etc. Réseaux de neurons: Réseaux de neurones artificiels, Réseaux de neurones convolutifs, Réseaux de neurones récurrents, etc. Traitement du langage naturel: sentiment analysis, text classification, etc. Chronology analyzes of events: ARIMA, SARIMA, etc. I want you to help prepare your données, install models, improve performance and the developer. I use these tools to use Python, R, TensorFlow, Keras, PyTorch, scikit-learn, etc. Don't hesitate to contact me if you have something to do for your machine learning and data extraction projects. I am available for individual descriptions, formations or major projects.

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Our goal is to give the student confidence, techniques, and methods to develop himself and give him the necessary help in: - Mathématics (analyse and algebric module). - Introductory computer science course. - Suitable for middle/high school students wishing to deepen their knowledge or for bac +1/2 students. - IT introduction class. - Suitable for secondary school students who want to deepen their knowledge or students with a bachelor's degree (bac +1/2).

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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.

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We are a team of engineers passionate about programming. We offer Python tutoring courses suitable for all levels (beginners, advanced students, CPGE students, or anyone looking to develop their skills). Our courses combine essential foundations, practical examples and clear teaching to ensure solid and useful progress for both studies and careers.

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Hi, I hope you will be fine. Welcome to my profile. This is Faisal. I am a Lecturer in Data Science at University. Data Science is the advanced field of Computer Science. I have more than 4 years of teaching experience including International level Students from Multiple countries of different levels of education, like, up to the University level. I love education because education is a powerful weapon to change the world. I am hardworking, and I am interested to use my Technical background and Expertise for my students. I teach the students with step-by-step instructions to make their concepts clear. That’s why I always focus on the Quality of Education to make my students and their parents happy. I take quizzes /tests daily and weekly basis. I provide the helping materials. I'm a friendly, happy, and polite person. I really like teaching because I think it’s my passion. I really enjoyed teaching children because they always enjoy my lessons. Lооking fоrwаrd tо Help mоre аnd mоre students tо get better & Quаlity Educаtiоn. Feel free to contact me, Takecare :)

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I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples. Topics include: pyRevit fundamentals and setup Automating repetitive Revit tasks (model checks, plan generation, data extraction) Writing custom scripts for your firm's specific workflows Applying Python automation to real MEP/BIM projects

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Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it? This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio). What we cover, adapted to your level and goals: - Descriptive and inferential statistics (the ones that actually matter) - Data cleaning, exploration, and visualization - Regression, classification, and intro to machine learning - Time series and forecasting basics - R for statistical analysis and academic research Who this is for: - University students in statistics, economics, engineering, or biology - Professionals wanting to move into data analysis or data science - Researchers who need to process and present data properly I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

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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.

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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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I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English. I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work. Who this is for Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos. I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it. What we cover Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation. How lessons work Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic. In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions. Practical details Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe. Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.