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Topic-BasedIntermediateFree Track

Python Backend Systems Pack

Object model, memory management, GIL, async execution (asyncio), generators, and high-performance runtime patterns.

Python is beloved for its readability, but senior interviews demand deep mechanical understanding: why mutable default arguments create subtle bugs, how the Global Interpreter Lock (GIL) impacts multi-threading, when generators reduce memory consumption from gigabytes to kilobytes, and how asyncio coroutines execute on the event loop.

Target AudiencePython backend engineers preparing for core language and systems rounds.
Targeted Companies
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2-3 WeeksPlan Duration
2Curriculum Modules
20Curated Questions
4Milestones

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Structured Syllabus

Curriculum Modules (Preview Mode)

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01

Object Model, Memory Semantics & Name Resolution

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Mutable vs immutable types, == vs is, mutable default arguments, and LEGB scope.

~6h
Target Competency & Objective:Master Python's memory model, object references, variable scoping, and shallow vs deep copying.

Core Technical Concepts Tested

Mutable (list, dict, set) vs Immutable (int, str, tuple, frozenset) typesIdentity comparison (is) vs Value equality (==)The mutable default argument trap (def fn(items=[]))LEGB Scope Resolution: Local, Enclosing, Global, Built-in
What Fails in Production (Triage Scenarios):
  • Mutable default argument sharing state across independent function calls in production
  • Confusing is with == causing intermittent string interning comparison bugs
  • Accidental global variable mutation causing race conditions across requests

Curated Questions (10)

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What are Python's mutable and immutable types, and why does the distinction matter when passing objects to functions?
Beginner
What is the difference between == and is in Python, and when can confusing them cause bugs?
Beginner
What are *args and **kwargs, and how are they used to design flexible functions?
Beginner
Why can mutable default arguments cause bugs, and what is the correct pattern for handling optional collections?
Intermediate
What is the difference between shallow copying and deep copying in Python?
Intermediate
How does Python's name resolution work, including local, enclosing, global and built-in scopes?
Intermediate
What are iterators, generators and generator expressions, and when do they reduce memory consumption?
Intermediate
What are decorators, and how can they be used to add reusable behaviour to functions or methods?
Intermediate
What is the difference between instance methods, class methods and static methods?
Intermediate
How does Python's object model work, and what roles do __init__, __new__ and __repr__ play?
Intermediate

Module Milestones (0 / 2)

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02

GIL, Concurrency & Asyncio Execution

Global Interpreter Lock, threading vs multiprocessing, context managers, and asyncio.

~8h

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Module Outline

01. Object Model, Memory Semantics & Name ResolutionPreview02. GIL, Concurrency & Asyncio ExecutionLocked

Specific Pack Deliverables

  • Rigorous understanding of Python's object model and mutable vs immutable memory semantics
  • Deep mechanics of the Global Interpreter Lock (GIL) and multiprocessing vs multithreading
  • Writing memory-efficient pipelines using iterators, generators, and itertools
  • Asynchronous programming with asyncio, coroutines, and task event loops
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