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In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments. Contact me if you want to have more information about the course!

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Utilize the numerous resources of HTML canvas for graphic design. Explore generative visuals and animations, bridging the gap between bitmap and vector images. This course also provides an accessible introduction to JavaScript programming, opening the door to web languages. No server or internet connection is required; a modern browser is all you need. Through these lessons, you will learn many fundamental development concepts.

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I believe everyone can learn everything when the quality of explanations is individually tailored to their unique cognitive style and mind’s shape. My method is based on establishing empathy and gaining a deep understanding of how my students’ brains work. Through my experiences, I've learned that no topic or subject is inherently difficult to comprehend, as long as the teacher can present it in a manner that fits the individual's mind scheme. As a teacher and educator, my primary objective is to attain effective communication, thus fostering a genuine understanding of the subject through a plethora of real-life cases and examples.

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Intensive CEB AND CE1D preparation 1- Answer the student's questions (course points, exercises and corrections given in class) 2- Assess the student's comprehension (direct questions, direct application exercises, quizzes, validation of the student's cards) 3- Verification of the work required of the student 3-a- Identification of possible misunderstandings 3-b- Detailed explanation of questions not included 3-c- Correction of possible errors 3-d- Tips solving method and tips 4- For all the exercises done together, the student is strongly encouraged to do everything again alone and to write them cleanly. The pupil is also called upon to note any difficulties encountered as well as the time devoted to each exercise. This approach aims to: 4-a- Validation of assimilation 4-b- Editor's rating 4-c- Evaluation of effectiveness (speed, absence of errors, etc.) 5- Summary item - Minutes of the meeting 5-a- What was done during the session 5-b- What the student could remember 5-c- What the student should do for the next session

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21Students

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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16Students

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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7Students

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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5Students

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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Most kids think coding is for "smart kids" or "future programmers." It's not. Coding is how real people solve real problems. In this class, we skip the theory. Your child creates real things. What they'll do: ✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded ✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system) ✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems ✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem ✓ Collaborate and share: work with other kids, get feedback, improve their work ✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations Why this is different: We don't teach syntax. We teach how programmers think. Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?" When your child learns to think like a programmer, they can learn any language afterward. What they take home: A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen. Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed For curious 8-12 year olds who want to build.