Python
Want to become a Python pro? Try our roadmap!
Cover each topic step-by-step and stay focused on learning with this learning plan.
In-IDE learning
Introduction to Python
Master Python fundamentals with no prior experience. Learn by coding in a professional IDE—stress-free, hands-on, and broken into well-structured lessons for smooth, beginner-friendly progress.
In-IDE learning
Mastering Python Libraries – NumPy
Tame messy math with NumPy, the Python library that powers AI, data science, and high-speed computing. Slice arrays, crunch numbers, and build real-world skills in a learner-friendly, professional IDE.
In-IDE learning
Introduction to Machine Learning
Train your brain to train machines. Build your first ML models from scratch—from simple classifiers to neural networks—with hands-on coding, a bit of Python, and a guided IDE built for learners.
In-IDE learning
Mastering Python Libraries – Pandas
Think in tables, not loops. Learn Pandas—the library used by analysts, scientists, and engineers to clean, reshape, and analyze real-world data in Python.
In-IDE learning
AMazing Python Adventure: Create a Maze with DFS
Build your first maze step by step—start with a single cell, warm up with simple loops, then implement recursive DFS and visualize it live. Learn Python OOP, recursion, and NumPy in bite-sized challenges.
In-IDE learning
Reinforcement Learning: Building an AI Maze Solver
Escape the maze—with code and reinforcement learning. Train a Python agent using Q-learning, rewards, and trial-and-error logic. Ideal for beginners in AI, game dev, or algorithmic thinking.
In-IDE learning
Automated UI Testing with Selenium and Python
Skip the manual clicks. Write Python code that drives browsers, fills forms, and catches UI bugs before users ever see them—with industry-trusted tools like Selenium and pytest. Ideal for QA engineers and Python developers.
In-IDE learning
Machine Learning 101 - RU
This is an introductory Machine Learning course in Russian. The course is currently in an early access state. Курс Machine Learning 101 (Введение в машинное обучение) находится на стадии разработки. Представленные материалы будут в дальнейшем улучшены и дополнены. Мы будем рады обратной связи, которая поможет курсу стать лучше! Данный курс рассказывает о базовых понятиях и алгоритмах машинного обучения – от простейших классификаторов до нейронных сетей. Во время обучения вам будет предложено самостоятельно реализовать алгоритмы , шаг за шагом погружаясь в решение одной из задач. Каждый урок может быть пройден независимо от остальных, однако для полного погружения мы рекомендуем последовательное прохождение уроков.
In-IDE learning
Data Visualization with Python
Learn to visualize data and present it with confidence. Build charts using Python, Matplotlib, and Seaborn—from line plots to heatmaps. Beginner-friendly, hands-on, and career-relevant.
In-IDE learning
Building a Flask App with Microservices
Build more than a Flask app—build a backend system. Create microservices, an API gateway, and deploy it all with Docker Compose. Perfect for beginners ready to take the next step in backend development.
In-IDE learning
Mastering Large Language Models
Learn to build, fine-tune, and extend Large Language Models (LLMs) – from NLP fundamentals to Retrieval-Augmented Generation and practical AI applications.