What am I teaching? Python 3 programming with libraries: Pillow, PyQT, Pygame, SQLite/MongoDB, Flask + SQLAlchemy, NumPy, Pandas, Sklearn HTML and CSS basics due to the Web-programming topic (Flask) SQl/NoSQL (MySQL and PostgreSQL and MongoDB) due to the SQLite/MongoDB library What does it mean? Python is a powerful tool for basic algorithmic tasks, projects with images/sounds/..., web development, data science and so on. I would be glad to learn you in a practical way to use these tools to solve ample different tasks. Information about me: - I am 3rd-year student in ITMO University (Software engineering and programming) - I'm teaching Python for more than 2 years - My students succeeded with their Python exams (100% passed) - I have 5 years experience with Python programming language and get several certificates: Python Basics and Projects (excellent mark) from Yandex Lyceum, Python in Industry programming (excellent mark) from Yandex Lycuem, Advanced Python (Stepik online cource) - English level (B2-C1), Swedish (A2-B1), Russian (native) Teaching features: - All topics I explain clearly with ample comparisons to real life - After every piece of information I'm checking student's understanding (asking similar questions to discuss) - All lessons are split into 2 vital parts: discussing new topics and practicing coding - Basics projects after each module Three ways of learning: - Basic track: Module 1 - Basics: installing/if/else/for/while Module 2 - Data Structures: lists/sets/dicts Module 3 - Functions: def Module 4 - Libraries: math/os/pillow/... Module 5 - OOP: classes/methods - Advanced track: Module 1 - Revicing: data structures and OOP Module 2 - Advanced topics: itherators/try/except Module 3 - PyQT Module 4 - Web-programming Module 5 - API and Applied Projects - Custom track: Possible topics: All in Basic and Advance tracks, Numpy, Pandas, Sklearn - Data Analysis basics What is the format of teaching: Online