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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.

🚀 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!

With a PhD in Physics and over 15 years of teaching experience, I offer advanced and engaging physics classes tailored to a wide range of learners. My background includes the publication of more than 30 research papers, reflecting a deep expertise in the subject. I incorporate modern tools such as Python, GeoGebra, and other advanced educational technologies to enhance conceptual understanding and problem-solving skills. My teaching approach blends theoretical rigor with interactive, tech-supported learning to help students grasp complex concepts effectively and confidently.

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.

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning. The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

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.

I am Dr Iyer- a tutor with over 18 years of teaching experience as of 2023 and students from across the globe. I teach one-on-one online (over Skype/ Google Hangout and other media) using a pen tablet and the screen-share feature. I have helped several students in courses like Python Programming, R Programming, Data Science, Machine learning etc. I can customise the content to domains like business, economics finance and investments as per student requirements. I have taught students of various age groups - high school (IB/Cambridge/IGCSE/ ICSE,) University (bachelors, masters, doctoral) and working industry professionals. More than anything, I trust that if I can replace the fear of a subject with love for it, then I would have truly made a difference to the student.

I am online-tutor and freelance-programmer from Ukraine. I am a Python developer for over 5 years. Python Programming Courses for Beginners & Kids! Learn Python in a Fun & Interactive Way! Whether you're a child, student, or future data scientist, we have the perfect Python course for you! --- 1. Python for Kids & Beginners (Turtle & PyGame) Ages 8+ | No prior experience needed! Duration: 60-90 minutes What You’ll Learn: ✔ Presentation of Python: Why this language? ✔ Installation and configuration of a programming environment (IDLE, Visual Studio Code, PyCharm, Anaconda Navigator, Jupyter Lab, Jupyter Notebook). ✔ Basics of Python with fun visuals using Turtle Graphics ✔ Create simple games & animations with Pygame ✔ Understand loops, conditions, and functions in a playful way ✔ Build a mini-game (e.g., Snake, Pong, or Drawing App) Course Outline: - First Steps: "Hello, World!" & Turtle drawing - Game Logic: Moving objects, collisions, and scoring - Final Project: Build your own mini-game! Bonus: Parents can join too! --- 2. Python for Students (Pandas, NumPy, Matplotlib) Perfect for high school & college students Duration:** 90-120 minutes What You’ll Learn: ✔ Installation and configuration of a programming environment (IDLE, Visual Studio Code, PyCharm, Anaconda Navigator, Jupyter Lab, Jupyter Notebook). ✔ Data Manipulation with Pandas (Excel-like tables in Python) ✔ Numerical Computing with NumPy (Fast math operations) ✔ Data Visualization with Matplotlib (Graphs & Charts) ✔ Solve real-world problems (e.g., analyzing grades, sports stats, or trends) Course Outline: - Working with Data: Loading, cleaning, and filtering datasets - Math & Stats: Mean, median, and trends - Visualization: Bar charts, line graphs, and histograms - Mini-Project: Analyze a dataset (e.g., weather, stocks, or sports) Great for school projects & future STEM careers! --- 3. Python for Data Science & Machine Learning (PyTorch) For aspiring AI engineers & data scientists Duration: 120-180 minutes What You’ll Learn: Installation and configuration of a programming environment (IDLE, Visual Studio Code, PyCharm, Anaconda Navigator, Jupyter Lab, Jupyter Notebook). Fundamentals of Machine Learning (ML) Neural Networks with PyTorch (Used by Nvidia GPU Tesla, OpenAI, and more!) Train models to predict trends, classify images, or analyze text Work with real datasets (e.g., housing prices, handwritten digits) Course Outline: - Intro to AI & ML: How computers "learn" - Data Preprocessing: Getting data ready for training - Building Models: Linear regression, classification - Final Project: Train a model to recognize handwritten digits --- Customizable Options: - Private 1-on-1 Coaching - Group Workshops (Schools/Clubs) - Corporate Training (Data Science & AI) Perfect for schools, coding clubs, and future tech leaders!

Are you ready to master the world of coding, whether you're just starting out or looking to level up your skills? Join my personalized tuition classes, where programming isn't just taught — it's understood. I don’t just teach you to write code — I help you understand why it works. You’ll develop problem-solving skills that make you confident in interviews, exams, and real-life projects. Whether you’re a beginner struggling with syntax or an advanced learner building projects, I adjust the pace and depth to match your level. From Python’s simplicity and power, to Java’s OOP strength, and C++’s performance and control — I’ll help you master the languages that open doors in software development, data science, and competitive programming. We’ll work through real problems, write clean code, debug together, and build a portfolio that actually shows what you can do. My classes are student-centered and interactive. I make sure you’re never afraid to ask questions — because that's how real learning happens.

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 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.

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 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.

This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding. Online Course: Introduction to Python - Programming Basics and Simple Applications Duration : - 60 minutes: intensive format to learn fundamental concepts. - 90 minutes: In-depth format with more time for practical examples and interactive questions. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops. 2. Write and run simple Python scripts. 3. Manipulate inputs and outputs to interact with the user. 4. Solve practical problems with short, functional programs. --- Course syllabus 1. Introduction (10-15 min) - Presentation of Python: Why this language? - Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook). - First program: *"Hello, World!"*. 2. Python Basics (20-30 min) - Variables and data types (integers, strings, lists). - Mathematical operations and data manipulation. - Conditional structures (if/else) and loops (for/while). 3. Practical exercises (20-35 min) - Write a program to calculate the sum of two numbers provided by the user. - Create a simple application, like a currency converter or password generator. - Bonus for 90 min format: Fixed a more complex issue involving lists or loops. 4. Q&A and conclusion (5-10 min) - Summary of the concepts covered. - Suggestions for resources to continue learning. - Feedback on the course. --- Teaching methodology - Interactive and engaging: the course combines theoretical explanations with practical exercises. - Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time. - Learning by doing: examples and exercises are designed to help you assimilate concepts quickly. --- Target audience This course is ideal for: - Complete beginners in programming. - Students or professionals wishing to acquire skills in Python for their personal or professional projects. - Anyone curious to discover a powerful and versatile tool for solving problems. --- Benefits of this online course - Teaching by an experienced and passionate trainer. - Interactive sessions adapted to your learning pace. - Access to educational materials and exercises to continue practicing after the course. Join us now to discover programming and its applications using Python! ---

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.