AI Basics with AK

Season 02 - Introduction to Python Programming

Arun Koundinya Parasa

Episode 18

Multi Threading & Multi Processing! ( Conceptual & Coding - In Demo)

Agenda

• Multi Threading
• Multi Processing

Multi Threading & Multi Processing

Multi Threading

• Multi Threading involves executing multiple threads within a single process.
• Threads share the same memory space, making communication between them efficient.

Multi Processing

• Multi Processing involves running multiple processes, each with its own memory space.
• Processes do not share memory space, which enhances stability but makes communication more complex.

Multi Threading & Multi Processing

Multi Threading & Multi Processing

Comparison Table

Aspect	Multi Threading	Multi Processing
Execution Model	Multiple threads within a single process	Multiple processes, each with its own memory
Memory Sharing	Shared memory space	Separate memory spaces
Overhead	Lower	Higher
Communication	Easier (shared memory)	More complex (inter-process communication)
Use Case	I/O-bound tasks	CPU-bound tasks
Stability	Less Stable ( shared memory risks )	More Stable (isolated processes)
Performance	Efficient for tasks requiring shared data	Efficient for parallel processing tasks

When to Choose which ?

- Scraping 100 websites in one go!


- Computing square-root for 10000000000 numbers!

THANK YOU

:)