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500 online python teachers

500 online python teachers

Dr. Fawaz - Liverpool, United Kingdom62Fr
62Fr25+ Years Experience Teaches Computer Science, PhD, Masters, Undergraduate GCSE Subjects, Coursework Writing, Thesis Support, and Research S
Trusted teacher: About the Lessons My tutoring supports students across all academic levels, including: School Level • GCSE subjects support • exam preparation • coursework guidance • study techniques Undergraduate Level • essay structure and argumentation • coursework development • research methods • presentation preparation Postgraduate & PhD • thesis structure • research strategy • academic writing improvement • paper preparation Academic Writing Support Many students specifically come to me for help with: essay writing coursework planning dissertation structure thesis writing academic proofreading clarity and argument improvement The goal is always to help you improve your own work and develop strong academic skills. My Teaching Method Every student receives a personalised academic support plan. Step 1 — Diagnostic Session We identify: • your current level • your academic goals • the main difficulties you are facing Step 2 — Personal Study Plan Together we create a plan that may include: • subject understanding • academic writing improvement • exam preparation strategies • research and reading techniques Step 3 — Guided Practice Sessions include: • problem-solving exercises • writing structure development • coursework and essay guidance • feedback and improvement Step 4 — Independent Confidence The goal is that you will learn: • how to organise complex ideas • how to write clearly and persuasively • how to manage academic workloads effectively Who I Work With I typically support: • GCSE students preparing for exams • A-level students needing academic structure • undergraduate students with coursework • MSc and PhD students writing theses • international students developing academic writing skills Subjects I Teach Main subjects: Academic Tutoring Coursework Support Associated subjects: • GCSE Subjects (general academic support) • Essay Writing • Coursework Guidance • Dissertation Support • Thesis Writing • Academic Proofreading • Research Methods • Critical Thinking • Study Skills • Academic Presentation Skills • University Preparation • PhD Mentoring What You Can Expect After working together, students usually gain: clearer academic writing stronger argument structure improved coursework and essays better exam preparation methods greater academic confidence
Computer science · Computer programming · Python
Durga Priya - Canada19Fr
19FrPython & Data Analytics Instructor | 10+ Years of Corporate IT Training Experience
Trusted teacher: Hello and Welcome! I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders. Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings. Courses Offered 1. Basic Python Programming This course is designed for beginners who want to build a solid foundation in Python. Topics include: Introduction to Python and environment setup Variables and data types Operators and expressions Conditional statements Types of loops and loop control Functions and scope Data structures: lists, tuples, sets, and dictionaries Mini projects and problem-solving exercises 2. Advanced Python Programming This course is designed for learners who already know the basics of Python and want to explore its advanced features. Topics include: Lambda functions and list comprehensions Generators, yield, and closures Decorators Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation) File handling and exception handling Mini projects integrating multiple concepts 3. Data Analysis Using Python (NumPy and Pandas) This course introduces essential tools for data manipulation and analysis using Python libraries. Topics include: Working with NumPy arrays Using Pandas DataFrames and Series Data cleaning, filtering, and transformation Handling missing values and duplicates Grouping, aggregation, and pivot tables Exporting data to CSV and Excel Real-world exercises with sample datasets
Python · Computer programming · Database
Devansh - Canary Wharf, United Kingdom27Fr
27FrLearn Object Oriented Programming with Python with a Live Project!
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
Jhosimar - Peru34Fr
34FrPrivate or group classes of Machine Learning and Deep Learning
Trusted teacher: Master in Computer Science from the State University of Campinas (Brazil) and university professor in Peru. He has participated in the most important Artificial Intelligence conferences including ACL, NeurIPS, ICML, ICLR, KDD, ICCV and CVPR, summer schools such as Machine Learning (MLSS), Deep Learning (DLRL) and Probabilistic ML (ProbAI). He has also participated in various programming contests and has experience preparing interviews for applications to companies such as Google, Meta, Microsoft, among others. He has extensive experience in the areas of Machine Learning and Deep Learning applied mainly to computer vision and natural language processing. He has experience in teaching, providing illustrative explanations for a better understanding of both the theoretical and practical parts. Some examples of presentations given: He has also advised students from different countries in their graduation and master's theses, providing them with a theoretical and practical base with examples that they can then use to continue their development. Some of the things I can help you with: - Machine Learning: Linear regression, logistic regression, regularization, LDA, QDA, SVMs, decision trees, random forest, boosting, PCA, clustering (K-means, DBSCAN, hierarchical, GMM), neural networks, model selection, metrics evaluation, MLE, Bayesian learning, data preprocessing, etc. - Deep Learning: Multilayer Perceptron (MLP), backpropagation, activation functions, multiclass classification, optimizers (SGD, Adam, RMSProp, etc.), CNNs, architectures (ResNet, DenseNet, EfficientNet, Siamese, etc.), RNNs, LSTMs, Seq2seq, Attention, Transformers (BERT, GPT, ViT, etc.), autoencoders, generative models (VAE, GAN, Diffusion, etc.), etc. - Languages: Python, C++ - Libraries and frameworks: PyTorch, Tensorflow, Keras, Huggingface, numpy, pandas, scikit-learn, sympy, etc.
Computer programming · Python
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Alex - Kampala, Uganda29Fr
29FrFUN & INTERACTIVE CODING AND ROBOTICS LESSONS FOR AGES (6-18years)
Trusted teacher: These lessons introduce learners of all ages from curious children (6+ years) to adults (18+) to the exciting world of computer programming and robotics. The classes are designed to be flexible, practical, and engaging, ensuring that every student learns at their own pace. Through guided activities and projects, learners will: Understand the fundamentals of coding (loops, conditionals, variables, algorithms) Create interactive animations, games, and stories with Scratch (ideal for younger learners) Explore Python programming for problem-solving, data handling, and creative coding (great for teens and adults) Experiment with electronics and robotics using Arduino and simple circuits Develop essential 21st-century skills such as problem-solving, logical thinking, and creativity Teaching Approach: For children (6–12 years): Lessons are playful, hands-on, and project-based—using games, stories, and interactive activities to make learning fun. For teenagers and adults (13+ years): Lessons focus on building real-world skills, practical coding projects, and understanding how technology can be applied in different fields. Outcome: By the end of the lessons, each learner will have the confidence to create, design, and problem-solve using programming and robotics. They will walk away with completed projects, a deeper understanding of technology, and the motivation to continue exploring on their own.
Python · Robotics · Computer programming
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 17 reviews.

Computer programming: Python etc. (children / beginners ..) Web development (Geneva)
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