Solution: Parallelizing Heavy Calculations

Explore how to parallelize CPU-bound calculations in Python using the multiprocessing pool. Learn to distribute factorial computations across multiple CPU cores to improve performance and bypass the Global Interpreter Lock. Understand how to manage worker processes efficiently for faster execution.

We'll cover the following...

1.Get Started

2.Orientation and First Code

3.Variables, Types, and Expressions

4.Flow Control

5.Data Collections

6.Functions and Scope

7.Comprehensions and Functional Tools

Mini Project

8.The Python Object Model

9.Organizing Code with Modules

10.Creating and Using Classes

11.Object Relationships and Data Model

12.Error Handling and Debugging

13.Testing and Code Quality

14.Working with Files

15.Iterators and Generators

Mini Project

16.Working with Data and APIs

17.Managing Packages and Environments

18.Parallel and Concurrent Programming

19.Asynchronous Programming

20.Advanced Functions and Decorators

21.Introspection and Type-Level Metaprogramming

22.Building and Distributing Applications

Mini Project

23.Wrapping Up

Solution: Parallelizing Heavy Calculations