Course is designed to make TS developer grasp an idea of a new language and start working asap.

Lectures are using markdown with some additional plugins for Obsidian ("dataview") in case if we decide to link files one to the other.

**Section 1:

Section 2: Python Ecosystem Basics for TS Developers

• Python version differences (2 vs 3)
• Python installation across different systems (comparison with Node.js)
• Python REPL vs Node.js REPL
• Running scripts (python script.py vs node script.js)
• PEP 8 and naming conventions (vs JS/TS conventions)

Section 3: Project and Dependency Management

• Python vs Node.js project structure
• Environment Isolation (venv vs nvm)
• Package Management (pip vs npm/yarn)
• Jupyter Notebooks

Section 4: Module System and Scopecd

• import/export in Python vs ES modules
• Module paths and PYTHONPATH vs NODE_PATH
• Namespaces in Python vs scope in JS
• _init_.py and its role

Section 5: Basic Syntax and Types

• Dynamic typing in Python vs JS
• Type hints in Python vs TypeScript
• Basic types (str, int, float, bool)
• None vs null/undefined
• Comparison operators (== vs is)
• Logical operators (and/or vs &&/||)

Section 6: Functions and Parameters

• [Function Definitions Python vs TypeScript](Section-1/S5L1 Function Definitions Python vs TypeScript.md)
• Default and named parameters (key difference vs JS)
• Decorators vs Higher Order Functions
• Type annotations in functions

Section 7: Data Collections

• list vs Array (fundamental differences)
• tuple vs readonly Array
• set vs Set
• dict vs Object/Map
• Immutability in Python vs JS

Section 8: Advanced Collection Operations

• Python Specialized Collections: deque, heapq, bisect

Section 9: OOP Basics

• Class definition in Python vs JS/TS
• Constructor (init vs constructor)
• self vs this
• Properties and methods
• Encapsulation in Python

Section 10: Advanced OOP

• Multiple inheritance (not available in TS)
• super() in Python vs JS
• Abstract Base Classes vs Interfaces
• Dataclasses

Section 11: Python Magic Methods

• Magic methods

Section 12: Error Handling and Context

• Exception handling (try/except vs try/catch)
• Exception hierarchy
• finally and else
• Context managers and with
• @contextmanager

Section 13: Functional Programming

• Lambda expressions vs arrow functions
• map, filter, reduce vs Array methods
• Partial functions and currying
• functools module
• Pure functions and immutability

Section 14: Asynchronous Programming

• async/await syntax comparison
• Event loops in Python vs JS
• asyncio basics
• Asynchronous patterns
• Differences in asynchronicity approach