Teaching software from scratch by teaching living languages such as (Python)

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.

🚀 Learn Python and Django to Build Powerful Applications 🚀 Want to master Python and develop real-world web applications with Django? Whether you're a beginner or looking to enhance your coding skills, this course will guide you step by step! What You’ll Learn: ✅ Python Basics & Advanced Concepts – Learn syntax, data structures, OOP, and algorithms ✅ Django Framework – Build dynamic and scalable web applications ✅ Databases & APIs – Work with PostgreSQL, SQLite, and REST APIs ✅ Project-Based Learning – Apply concepts through hands-on coding and real projects ✅ Debugging & Best Practices – Learn clean coding principles and error handling 🔹 Who is this course for? Complete beginners who want to start coding with Python Developers looking to transition into backend or full-stack development Students and professionals who want to build their own web applications 💻 Class Format: - Live online sessions via Google Meet - Interactive coding exercises & projects - Personalized guidance based on your level 📩 Contact me to start your Python & Django journey today!

Curso de Python dese 0 hasta orintacion a objeto. --> map, filters,reduce --> Compresiones --> Esctructuras sequenciales -->LLibrerias Aprende python para poder ser un buen data science, machine learning enginear, data analytics, code developer.

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.

Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.

Want to crack coding interviews, ace your exams, or build strong logic skills? My DSA classes are designed to make you think like a programmer — whether you prefer Python, Java, or C++. Choose the language you're most comfortable with — Python, Java, or C++. I adapt the lessons to suit your choice without compromising on concepts. From arrays and linked lists to trees, graphs, recursion, and dynamic programming — I break it all down with simple explanations and visual thinking so you actually understand, not just memorize. We focus on solving problems — not just writing code. You’ll build real problem-solving intuition to tackle any question with confidence. New to DSA? No problem. Already have some experience? We’ll push further. I tailor every class to your pace and goals. Ask questions freely, revisit concepts, and practice with guidance. I’m here to make DSA feel less like a struggle and more like a skill you’re proud of.

Mathematics: I am a skilled mathematics teacher with strong academic qualifications. Additionally, I can help your ward to learn Python Programming Language which could help to bridge the gap between industry and academics from a very young age. Grade: Year 6 to GCSE/A-Levels UG Degree & Grade: 93.07% in B.Sc. (Hons) Mathematics from the University of Delhi PG Degree & Grade: Distinction in MSc in Data Science from The London School of Economics and Political Science

Are you ready to take your Python skills to the next level and unlock the power of Object-Oriented Programming (OOP)? Welcome to our comprehensive course designed to transform you into a Python OOP expert! Object-Oriented Programming is a fundamental paradigm in modern software development, and Python's versatility makes it an ideal language for mastering OOP concepts. In this dynamic course, we'll guide you through every aspect of OOP in Python, from the basics to advanced techniques, empowering you to build robust, scalable, and maintainable software solutions. What will you learn? Foundations of OOP : Understand the core principles of OOP, including encapsulation, inheritance, and polymorphism, and how they are implemented in Python. Class Creation and Management: Dive deep into creating classes, defining attributes, and designing methods to encapsulate functionality within your Python applications. Inheritance and Polymorphism: Explore the power of inheritance to create hierarchical relationships between classes and leverage polymorphism to write more flexible and reusable code. Advanced OOP Techniques: Learn about abstract classes, interfaces, and composition to design elegant and modular software architectures. Design Patterns: Discover common design patterns and how to implement them in Python to solve complex software design problems effectively. Testing and Debugging: Master techniques for testing and debugging object-oriented Python code to ensure its correctness and robustness. Real-World Applications: Apply your newfound knowledge to real-world projects, including building GUI applications, web development, and more. Why choose this course? Comprehensive Curriculum: Our course covers everything you need to know about OOP in Python, from the basics to advanced topics, ensuring you have a solid understanding of the subject. Hands-On Learning: Gain practical experience through hands-on coding exercises and projects that reinforce your understanding of OOP concepts. Expert Guidance: Learn from experienced Python developers who will provide clear explanations, practical examples, and personalized feedback to help you succeed. Career Advancement: Mastering OOP with Python opens doors to a wide range of career opportunities in software development, data science, machine learning, and more. Lifetime Access: Enjoy lifetime access to course materials, including updates and new content, ensuring you stay current with the latest advancements in Python and OOP. Whether you're a Python novice looking to expand your programming skills or an experienced developer aiming to level up your OOP expertise, this course is your ultimate guide to mastering Object-Oriented Programming with Python. Enroll now and embark on a journey to becoming a proficient Python OOP developer!

This course offers a progressive introduction to algorithmic thinking and Python programming. Through clear explanations, concrete examples, and practical exercises, learners will discover how to analyze a problem, design an efficient algorithm, and then translate it into Python code. No prior programming experience is required: this course is aimed at beginners who are curious to learn to code by solving problems in a logical and structured way.

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.

This class is specifically designed for children aged 8 to 13 who want to develop their logical and analytical skills and become expert coders in the future! The lessons will be taught based on the learning ability and understanding level of school children in this age group. We will cover all fundamental coding concepts that will help strengthen your logical thinking.

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.

This course is for those who want to take their first steps in computer programming. Together, we will discover the fundamentals of programming as well as the main elements that make up an algorithm: variables, conditions, functions, loops, arrays, and more. All courses are interactive, combining theory and practice. You'll write your first algorithms in pseudo-code, and we'll implement them together using a programming language to ensure you understand and assimilate the various concepts. The number of courses required to master the material is around ten. This number, however, varies depending on your level and the speed at which you wish to progress. The courses are accompanied by materials and practical exercises to do at home, to allow you to assimilate the material as best as possible.

Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---

The "Algorithms in Python" course is designed to teach you the fundamentals and advanced concepts of algorithms using the Python language. You will discover fundamental data structures, programming paradigms (iterative, recursive, divide and conquer, dynamic programming), and learn how to efficiently solve algorithmic problems. Through practical exercises and projects, you will develop essential skills for analyzing and optimizing algorithms, while improving your programming logic.