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I specialize in teaching Python to beginners, especially those with little to no prior coding knowledge. My key focus is to bring my students to the level of experts by the end of my course. I also focus on developing more skills for intermediate learners and those with existing knowledge of Python, HTML, or C++.

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This course consists in transmitting to the pupil or the student all the basic knowledge to be able to use its two languages, and also to see some useful libraries of python (numpy, matplotlib), this course will be taught in parallel with algorithmic (if necessary).

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A course for beginner programmers who want to learn the Python language and learn the basics of programming. This is a course that gives a thorough overview of the Python language and its possibilities. During the course, the student will learn the necessary foundations for a future programming career.

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Since I have a masters degree in theoretical physics, I can teach math and physics for all levels, I'll do my best to help you understand any problem you face. As for python language, I can be considered as an expert, since I used it to analyse data during my internships, thus I'll also help you to do your projects and fix the bugs.

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You will learn how to write executable code, no basic knowledge is needed, from programming logic to small projects and games. I can introduce children to programming too using some fun games and logic building, I used to teach that in a primary school. This requires a high level of commitment.

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Engineer graduated from the School of Arts and Crafts of Paris in numerical modeling of numerical problems proposes courses of programming in the languages Python / HTML (and CSS) and PHP. Professional experience in web development at a company in Ireland. Use of Python in the prediction of financial market movements for a major player in insurance (artificial intelligence) I help people - Desiring to discover the programming - In training needing a punctual or regular support - Wishing to know more about networks and computer security (Network and Penetration Quotes)

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Perfect Class for beginner and Intermediate who want to either know what does a data analyst do or deepen understanding about using various models to analyse Big Data. I had a Honour bachelor degree in Data Science Courses at NUS and had industry experiences for 2 years.

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I am a engineer in computer and data science I would like to share my knowledge in mathematics, computer science with a maximum of person and to give my help to all those who are in need.I also have project management skills, programming languages python skills and Data Science skills, that I would also like to share.

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• LOCATION ISSUE => INDEED, I CAN TRAVEL TO YOUR PLACE IF YOU ARE NEXT TO XINTIANDI !!! • Engineering School ENSTA Bretagne, specialised in security and digital systems, France. (2017-2020) • Tongji University, Software engineering major for one semester. (2019) • Prytanée National Militaire, two-year intensive post-secondary school in advanced Mathematics and Science for the competitive entrance examinations to French Graduate Student Engineering Schools. • Gave private lessons in Python, Physics and Mathematics to 6 students the last 2 years • Guitar player for over 4 years, rock, guitar folk.

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Hello, ! Join an experienced IT Manager with 8+ years in the telecom industry to master Python, Java, and C. This course is perfect for beginners and intermediate learners looking to build a strong foundation in programming. You’ll gain hands-on coding experience, learn practical applications, and understand how these languages are used in real-world IT projects. Start your programming journey today and develop the skills to excel in the tech industry!

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In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. Python Basics An introduction to the basic concepts of Python. Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types. Python Lists Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data. Functions and Packages You'll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems! NumPy NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.

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My class is for you if you want to: - Build the skills you need to get your first Python programming project. - Get started with Machine Learning, Data Science, Django or other hot areas that Python specializes in. - Or just learn Python to be able to create your own Python apps quickly. ...then you need a solid foundation in Python programming. And my class is designed to give you those core skills, fast. My class is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission-critical applications like Google Search. And Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high paying jobs you need expert knowledge of Python, and that’s what you will get. Here’s just some of what you’ll learn (It’s okay if you don’t understand all this yet, you will in the course) · All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating · You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more. · Complete chapters on object-oriented programming and many other aspects of Python.

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Welcome to my class! In this course, you'll learn all the vital knowledge to start coding in Python. We'll cover all the basis, along with the most popular frameworks and libraries. Each lesson comes with a practical homework. There can also be a little practice during the lesson if needed.

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Do you want to learn programming? Do you have lots of boring, repetitive tasks, either at work or at home? Are you having trouble with your homework or your courses? Do you want to automate your life? Then come learn Python with me. You don't need to want to become a developer in order to learn Python. Most people who program in Python actually work in another field, but use Python as a superpower to help them do their job more efficiently and effectively. I will be teaching you one-on-one. We'll see what you want to do, and I help you work towards that goal. I will be using best practices as appropriate to your level. Most of our work will be in Jupyter notebooks. Some case studies involving students of mine: In one case, I started by automating one report of a financial analyst who had never programmed before, allowing him to start learning Python on during working hours. I also automated one of his side jobs, giving him more disposable income. He has since automated many more of his tasks, and has been providing many more useful insights to his company, which earned him a promotion and a sponsored masters degree. I still provide support as necessary. In another, I enabled a PhD student to analyze their electron-phase micrographs by writing software with them which did the job of commercial software with an expensive license. I was acknowledged by name in their paper. Note: Python 3 only, unless you are required to use Python 2.

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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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I really love programming and I will show you how easy it is. You can start coding confidently in just a few lessons. My classes include theory, practice, and a huge number of tasks from various fields. If you wanted to master IT but didn’t know how, I’ll teach you everything from scratch. Get your laptop ready My online teaching experience. I have been teaching online for over 5 years. I love my profession very much, I am very pleased with the results and success of my students! I try to bring maximum benefit to each student, find his strengths and develop them.

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Welcome to "Machine Learning with Python and PyTorch: Practical Hands-on Training," a beginner-friendly course designed to introduce you to the exciting world of machine learning using two of the most popular tools in the industry: Python and PyTorch. This course focuses on practical, hands-on learning, ensuring you gain the skills needed to start building your own machine learning models. #### Course Objectives: - **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning. - **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications. - **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework. - **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises. - **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models. #### Course Outline: 1. **Introduction to Machine Learning:** - What is machine learning? - Types of machine learning: supervised, unsupervised, and reinforcement learning - Applications of machine learning in different industries 2. **Python Programming Essentials:** - Introduction to Python programming - Data structures and libraries (NumPy, Pandas) - Basic data manipulation and visualization (Matplotlib, Seaborn) 3. **Getting Started with PyTorch:** - Introduction to PyTorch and its ecosystem - Setting up your environment and installation - Understanding tensors and basic tensor operations 4. **Building Your First Machine Learning Model:** - Data preprocessing and preparation - Splitting data into training and testing sets - Building a simple linear regression model with PyTorch 5. **Training and Evaluating Models:** - Understanding the training process - Loss functions and optimization algorithms - Evaluating model performance using metrics 6. **Advanced Models and Techniques:** - Introduction to neural networks - Building and training a neural network with PyTorch - Exploring convolutional neural networks (CNNs) for image classification 7. **Practical Projects and Applications:** - Hands-on projects to reinforce learning - Real-world applications and case studies - Tips and best practices for successful machine learning projects 8. **Next Steps in Your Machine Learning Journey:** - Exploring further learning resources - Joining machine learning communities and forums - Preparing for advanced topics and courses #### Who Should Enroll: - Beginners with no prior experience in machine learning - Individuals interested in learning Python programming - Aspiring data scientists and machine learning enthusiasts #### Prerequisites: - Basic computer literacy and familiarity with high school-level mathematics - No prior programming or machine learning experience required #### Course Outcomes: By the end of this course, you will be able to: - Understand the fundamental concepts of machine learning - Write and execute Python code for machine learning tasks - Use PyTorch to build, train, and evaluate machine learning models - Apply your knowledge to real-world problems and projects - Take the next steps in advancing your machine learning skills Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.

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Python is now being used for basic to advanced operations in academic and industrial workspace. In combination with unix and/or windows OS and other programming languages python can be extensively used for automation, data acquisition and post processing. I teach python from a beginners to advanced level depending on the requirements of the student. No prerequisite for computer programming is required to start. A long term training plan can be established to develop all round computer programming skills with software engineering abilities. Teaching technique : Digital board for concept delivery, active programming training with real world problems. Help in setting up programming environments and git. Homework : Task of about 10 minutes after every class to be done privately. Review of homework during the next class.

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Tired of just using technology? Start creating it. In this hands-on online course, you'll learn the fundamentals of programming with Python, one of the world's most popular and beginner friendly languages. Python is renowned for its simple, readable syntax, making it the ideal choice for absolute beginners. We've designed this online class to be engaging and completely accessible. No prior experience needed!

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Moving beyond standard static chatbots and simple text generation, this course dives into the next frontier of artificial intelligence: Agentic AI. AI Agents are autonomous systems capable of perceiving an environment, breaking down complex objectives into sequential steps, utilizing external tools, and collaborating with other agents to accomplish complex tasks. Through this hands-on, project-driven course, students will transition from writing basic prompts to engineering production-grade, self-correcting autonomous systems. You will learn the theoretical foundations of agentic design patterns and gain practical experience using leading frameworks like LangGraph, smolagents, and LlamaIndex. What You Will LearnThe Agentic Mindset: How to design systems that reason, plan, and execute independently rather than relying on strict, rigid automation.Tool Integration & Interoperability: Enabling LLMs to securely call external APIs, interact with databases (via SQL), and execute raw code.Memory Management: Implementing short-term episodic memory (context engineering) and long-term semantic memory (Vector databases/Agentic RAG).Multi-Agent Collaboration: Structuring orchestrator agents to break tasks down and delegate them to a network of specialized, interacting agents.Evaluation & Security: Rigorously testing agentic workflows, setting up guardrails, and handling edge cases like infinite loops or adversarial prompt injection.