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Python 3.13 ยท Visual Studio 2026 ยท 40 Lessons

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Learn Python in Visual Studio 2026 with 40 free, structured lessons. Build your foundations, write practical applications, and take your next step into AI and automation.

40 lessons  ยท  Beginner โ†’ Expert  ยท  ~25 hours of content  ยท  Free
main.py โ€” Python 3.13 ยท Visual Studio 2026
1# Python 3.13 โ€” dataclasses, async generators, type hints
2from dataclasses import dataclass, field
3from typing import AsyncGenerator
4import asyncio
5
6@dataclass
7class Product:
8    name: str
9    price: float
10    tags: list[str] = field(default_factory=list)
11
12async def fetch_deals(products: list[Product]) -> AsyncGenerator[Product, None]:
13    for p in products:
14        await asyncio.sleep(0)
15        if p.price < 50.0:
16            yield p
17
18async def main():
19    catalog = [Product("Widget", 29.99), Product("Gadget", 99.00)]
20    async for deal in fetch_deals(catalog):
21        print(f"Deal: {deal.name} at ${deal.price}")
22
23asyncio.run(main())
40
Lessons
25h
Content
Py3.13
Tutorial Version
VS2026
IDE
Free
No Login
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Use these 40 lessons to build strong Python fundamentals and progress step by step from beginner to advanced topics.

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A complete tutorial with room to grow into applied Python

The lesson path covers core Python, web development, data work, automation, async programming, APIs, and AI-related topics, so you can turn each new skill into a practical project.

โšก

Python Fundamentals

Variables, control flow, functions, data structures, files, modules, exceptions, and modern Python syntax.

๐Ÿ—๏ธ

OOP and Architecture

Classes, dataclasses, protocols, design patterns, testing, packaging, and stronger code organization.

๐ŸŒ

Data, APIs, and Web

FastAPI, Django REST, pandas, NumPy, JSON workflows, databases, and deployable Python applications.

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AI and Automation

Machine learning, PyTorch, LLM integrations, automation tasks, and the path into more applied work.

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Complete curriculum

All 40 Python Lessons

Start from Lesson 1 โ†’

40 lessons available

01
๐Ÿ
Python & VS 2026 โ€” Getting Started
FoundationsBeginner
โ†’
02
๐Ÿ“
Variables, Types & Operators
FoundationsBeginner
โ†’
03
๐Ÿ”€
Control Flow โ€” if, for, while, match
FoundationsBeginner
โ†’
04
๐Ÿงฉ
Functions, Arguments & Closures
FoundationsBeginner
โ†’
05
๐Ÿ“ฆ
Lists, Tuples, Sets & Dicts
FoundationsBeginner
โ†’
06
๐Ÿ’พ
File I/O, Paths & JSON
FoundationsBeginner
โ†’
07
๐Ÿ“ฆ
Modules, Packages & pip
FoundationsBeginner
โ†’
08
โš ๏ธ
Exception Handling & Context Managers
FoundationsBeginner
โ†’
09
๐Ÿ›๏ธ
Classes & OOP Fundamentals
OOPIntermediate
โ†’
10
๐Ÿงฌ
Inheritance, MRO & Abstract Classes
OOPIntermediate
โ†’
11
โœจ
Decorators & Descriptors
OOPIntermediate
โ†’
12
๐ŸŽฏ
Dataclasses, NamedTuple & Pydantic
OOPIntermediate
โ†’
13
๐Ÿ”
Comprehensions & Functional Tools
Core PythonIntermediate
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14
๐Ÿ”ข
Iterators, Generators & yield
Core PythonIntermediate
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15
๐Ÿท๏ธ
Type Hints & mypy Static Typing
Core PythonIntermediate
โ†’
16
๐Ÿ”„
Async / Await & asyncio
AsyncIntermediate
โ†’
17
๐Ÿงช
Testing with pytest & unittest.mock
TestingIntermediate
โ†’
18
๐Ÿ“
Regular Expressions & Text Processing
Core PythonIntermediate
โ†’
19
๐ŸŒ
HTTP Requests & REST API Clients
NetworkingIntermediate
โ†’
20
๐Ÿ”ง
CLI Tools with argparse & Typer
ScriptingIntermediate
โ†’
21
๐Ÿ“Š
NumPy โ€” Arrays & Numerical Computing
Data ScienceAdvanced
โ†’
22
๐Ÿ—ƒ๏ธ
pandas โ€” DataFrames & Data Wrangling
Data ScienceAdvanced
โ†’
23
๐Ÿ“ˆ
Data Visualization โ€” matplotlib & seaborn
Data ScienceAdvanced
โ†’
24
๐ŸŒ
FastAPI โ€” Building REST APIs
Web DevAdvanced
โ†’
25
๐Ÿ›ก๏ธ
FastAPI โ€” Auth, Middleware & OpenAPI
Web DevAdvanced
โ†’
26
๐Ÿ˜
Databases โ€” SQLAlchemy & SQLite/PostgreSQL
Data AccessAdvanced
โ†’
27
โšก
Threading, Multiprocessing & concurrent.futures
AsyncAdvanced
โ†’
28
๐Ÿ•ท๏ธ
Web Scraping โ€” BeautifulSoup & Playwright
AutomationAdvanced
โ†’
29
๐Ÿณ
Docker & Containerizing Python Apps
DevOpsAdvanced
โ†’
30
๐Ÿ”‘
Design Patterns in Python
ArchitectureAdvanced
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31
๐Ÿค–
Machine Learning with scikit-learn
AI / MLExpert
โ†’
32
๐Ÿ”ฅ
Deep Learning with PyTorch
AI / MLExpert
โ†’
33
๐Ÿง 
LLMs โ€” OpenAI API & LangChain
AI / MLExpert
โ†’
34
๐Ÿ“ก
Metaprogramming โ€” __dunder__, slots & meta
Advanced PythonExpert
โ†’
35
โšก
Performance โ€” Profiling, Cython & Numba
PerformanceExpert
โ†’
36
๐Ÿ”
CI/CD โ€” GitHub Actions & Azure Pipelines
DevOpsExpert
โ†’
37
๐ŸŒŠ
Async Streaming & WebSockets
AsyncExpert
โ†’
38
๐Ÿ—๏ธ
Microservices Architecture in Python
ArchitectureExpert
โ†’
39
๐Ÿ”’
Security โ€” Auth, OWASP & Secrets Management
SecurityExpert
โ†’
40
๐Ÿ†
Capstone โ€” Full Python Production App
CapstoneExpert
โ†’

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