Masterclass (22 Modules)
5.5 hours Total Duration
Beginner
0/22 Completed(0%)

Modern Python for AI & Data Science

Complete masterclass from core memory models and data structures to OOP, FastAPI, Asyncio, Profiling, Metaprogramming, and production deployment.

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Learning Milestones

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1

1. Python Core, Memory Model & Types

12 min

Mutability, memory allocations, reference counts, data structures, and idiomatic Pythonic patterns.

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2

2. Advanced Data Structures & Collections

22 min

CPython compact dict internals, deque ring buffers, heapq priority queues, bisect, and Trie implementations.

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3

3. Functions, Scope Closures & Unpacking

12 min

First-class functions, args/kwargs unpacking, lexical scoping, closures, and lambda expressions.

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4

4. Object-Oriented Programming (OOP) & Descriptors

18 min

Class lifecycle (__new__ vs __init__), 4 pillars, MRO C3 linearization, dunder methods, __slots__, descriptors, and Protocols.

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5

5. Higher-Order Decorators & Metaprogramming

12 min

functools.wraps, timing/logging wrappers, parameterized decorators, and class-based decorators.

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6

6. Iterators, Custom Iterables & Generators

10 min

The iterator protocol (__iter__, __next__), memory-efficient yield generators, and the itertools toolkit.

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7

7. Error Handling & Exception Architecture

20 min

EAFP vs LBYL internals, try/except/else/finally mechanics, custom hierarchies, ExceptionGroup, and ExitStack.

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8

8. File I/O, Context Managers & Pathlib

10 min

Reading/writing files safely with context managers, modern pathlib operations, and JSON/CSV structured parsing.

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9

9. Modular Architecture & Package Management

10 min

Structuring modules and packages, __init__.py, relative imports, virtual environments, and pyproject.toml.

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10

10. Modern Type Hints & Static Typing

12 min

Python 3.10+ typing (Union/Optional | syntax), TypedDict, Generic TypeVars, Protocols, and mypy static analysis.

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11

11. Regular Expressions & Text Processing

22 min

NFA engine internals, ReDoS prevention, compile flags, zero-width lookarounds, conditional groups, and log parsing.

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12

12. Test-Driven Development with Pytest

12 min

Writing test suites with pytest, assertions, reusable fixtures with teardown, parametrized tests, and mocking.

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13

13. Multi-Threading, Multiprocessing & GIL

12 min

CPython GIL constraints, ThreadPoolExecutor vs ProcessPoolExecutor, and synchronization locks.

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14

14. Asynchronous Programming with Asyncio

15 min

Coroutines, event loop lifecycle, asyncio.gather, TaskGroup, timeouts, semaphores, and async context managers.

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15

15. HTTP Clients, Async Networking & APIs

24 min

HTTP/1.1 vs HTTP/2 multiplexing, requests.Session pooling, httpx async client architectures, and rate limiting.

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16

16. CLI Development with Typer, Rich & Argparse

20 min

POSIX standards and exit codes, argparse subparsers, type-driven Typer applications, and Rich terminal formatting.

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17

17. Pydantic V2 Data Validation & Schemas

13 min

BaseModel, Field constraints, nested models, field/model validators, computed fields, and pydantic-settings.

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18

18. FastAPI High-Performance Backend APIs

15 min

Path/query params, Pydantic request models, Depends dependency injection, and X-API-Key security.

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19

19. Database Modeling with SQLAlchemy & AsyncPG

13 min

Raw DB-API SQL, SQLAlchemy ORM modeling, relationships, querying, and async database drivers.

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20

20. Memory Optimization, GC Internals & Profiling

24 min

CPython PyMalloc arena architecture, cyclic GC generational tuning, tracemalloc snapshots, and zero-copy memoryview.

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21

21. Metaprogramming, Metaclasses & AST Rewriting

24 min

The type-object duality, complete metaclass lifecycle (__prepare__, __new__, __init__, __call__), and AST transformation.

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22

22. Package Distribution, Docker & UV Deployment

12 min

Standard pyproject.toml packaging, src layout, environment variables, Docker containerization, and production Uvicorn.

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