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2 python teachers in Greenford

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2 python teachers in Greenford

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(4 reviews)
Jean - Antwerp, Belgium£121
Trusted teacher: Do you want to improve your productivity in class or at work? Are you tired of using Excel for things it's not meant for? Do you want to analyze and visualize your data? Do you want to generate valuable insights? Do you want to talk to sensors and devices? Then you've come to the right place. 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, or even do do things that were previously impossible. 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. We might work with Jupyter notebooks if you have nothing more specific that you prefer to do. But I can also work with you on analyzing your data, controlling your devices and robots, or even building tools that you feel that you need. Depending on your application, we might even do some machine learning. 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 completely new insights to his company, This has 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.
Python · Science · Engineering
Trusted teacher: In today's rapidly evolving technological landscape, Large Language Models (LLMs) have emerged as a groundbreaking innovation, transforming the way we interact with machines and process vast amounts of textual information. This comprehensive course is designed to equip participants with the skills and knowledge to harness the power of LLMs for creating advanced chatbots and document-based question-answering (QA) systems. #### Course Objectives: - **Understanding LLMs:** Gain a deep understanding of Large Language Models, their architecture, and capabilities. - **Langchain Framework:** Learn how to use Langchain, a powerful framework for building LLM-powered applications. - **Building Chatbots:** Develop sophisticated chatbots capable of natural language understanding and generation. - **Document-based QA Systems:** Create robust QA systems that can accurately retrieve and process information from documents. - **Hands-On Projects:** Apply your learning through practical, hands-on projects and real-world scenarios. #### Course Outline: 1. **Introduction to Large Language Models:** - Overview of LLMs and their significance in AI - Key concepts and components of LLMs - Current trends and advancements in LLM technology 2. **Getting Started with Langchain:** - Introduction to the Langchain framework - Setting up the development environment - Understanding Langchain's core features and functionalities 3. **Building Your First Chatbot:** - Designing conversational interfaces - Implementing natural language understanding (NLU) and natural language generation (NLG) - Integrating LLMs into your chatbot 4. **Advanced Chatbot Development:** - Enhancing chatbot capabilities with context management - Handling multi-turn conversations - Deploying and maintaining chatbots in production environments 5. **Document-based Question Answering Systems:** - Understanding document processing and retrieval - Building QA systems using LLMs - Techniques for improving accuracy and relevance in QA systems 6. **Practical Applications and Case Studies:** - Real-world applications of chatbots and QA systems - Case studies highlighting successful implementations - Best practices and lessons learned 7. **Hands-On Projects:** - Developing a custom chatbot for a specific use case - Building a document-based QA system for a chosen domain - Integrating both systems into a cohesive application 8. **Future Directions and Advanced Topics:** - Exploring advanced features of LLMs and Langchain - Emerging trends and future developments in LLMs - Preparing for further learning and specialization #### Who Should Enroll: - Aspiring AI developers and data scientists - Professionals seeking to enhance their skills in LLMs and chatbot development - Enthusiasts interested in leveraging LLMs for innovative applications #### Prerequisites: - Basic understanding of programming concepts - Familiarity with Python is recommended but not required #### Course Outcomes: By the end of this course, you will be able to: - Understand and utilize Large Language Models effectively - Develop advanced chatbots using Langchain and LLMs - Build robust document-based QA systems - Apply your knowledge to real-world projects and scenarios - Stay abreast of the latest advancements in LLM technology Join us in "Mastering Large Language Models with Langchain: Building Chatbots and Document-based QA Systems" to unlock the potential of LLMs and create innovative AI solutions that transform how we interact with and process textual information.
Python
Trusted teacher: 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!
Software engineering · Information technology · Python
Trusted teacher: Course description: Title: Programming course for beginners Duration: 8 weeks (16 sessions of 2 hours each) Description: This programming course for beginners is designed for average students who want to learn the solid foundation of programming. Whether you are interested in Python, JavaScript, HTML, CSS or PHP, this course will provide you with the essential knowledge to create your own programs and applications. Through clear explanations, real-world examples and practical exercises, you will develop your understanding of key programming concepts and be able to apply this knowledge in real-world projects. Lesson Plan : Week 1-2: Introduction to programming and fundamental concepts - Presentation of programming languages (Python, JavaScript, HTML, CSS, PHP) - Understand variables, data types and basic operations - Introduction to control structures (loops, conditions) - The functions and organization of the code Week 3-4: Object Oriented Programming - Understand the basic concepts of object-oriented programming - Creation of classes and objects - Using attributes and methods Week 5-6: Web development - Introduction to HTML and CSS - Creation of static web pages - Using JavaScript to interact with page elements Week 7-8: Applications and projects - Using Python, JavaScript, HTML, CSS or PHP to create simple programs and applications - Creation of a final project to put into practice all the skills acquired Each session will include a theoretical part followed by practical exercises to consolidate the concepts covered. You will also be encouraged to ask questions and work on personal projects to reinforce your learning. Join this exciting course and develop your programming skills, you'll be ready to create your own programs and applications in no time!
Computer programming · Information systems · Python
Python · Math · Numerical analysis
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 40 reviews.

Highly experienced 1-on-1 Math tutor : IB Diploma IB DP Maths AA/AI, IGCSE, Cambridge A-levels, AP Calculus, SAT, ACT, GRE, GMAT, IB Math
Dr. Iyer
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Superb experience with Dr S Iyer. Very easy to schedule, responsive, preparation before class and follow up after class. He helped my child understand concepts that were unclear, he has profound knowledge of the subject, he knows how to get my child interested and it helps to learn when one is engaged, I was present in the room during parts of the lessons and I could see he cares about my child liking what he is teaching, but is also focused on making sure she gets it. Via zoom it is very easy to have the lesson. Thank you very much Dr. S Iyer!
Review by GABRIELA
Learn Python at all levels! One-on-one tutoring with an expert. (Saint-Gilles)
Jean
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First of all, Jean was amazing! He responded very quickly and answered every question I had! He is extremely knowledgeable and his help was just what I needed! He is very friendly and he adjusts the pace to his students. I am very glad I contacted him and I strongly recommend him for anyone who wants to learn programming languages or has trouble doing so! I will definitely study with him again!
Review by SEBASTIAN
Learn Python - from the basics to real world business cases (Amsterdam)
Joris
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Joris is super friendly and was really flexible in tailoring the classes based on what my purpose for learning is. He is giving me the direction I need to continue this learning journey, and I would certainly recommend him to anyone interested in learning python to the next level.
Review by SEBASTIAN
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