Book

Mastering Concurrency in Python

Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
14h52m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 14h52m total length

1. Concurrent and Parallel Programming - An Advanced Introduction
2. Amdahl’s Law
3. Working with Threads in Python
4. Using the ‘with’ Statement in Threads
5. Concurrent Web Scraping
6. Working with Processes in Python
7. The Reduction Operation in Processes
8. Concurrent Image Processing
9. Introduction to Asynchronous I/O
10. Asyncio: Pros and Cons
11. TCP with Asyncio
12. Deadlock
13. Starvation
14. Race Conditions
15. The Global Interpreter Lock
16. Designing Lock-Free and Lock-Based Concurrent Data Structures
17. Memory Models and Operations on Atomic Types
18. Building a Server from Scratch
19. Testing, Debugging, and Scheduling Concurrent Applications

On this page

Ready to Train Your Team?

Need training for your whole team? Get bulk pricing, LMS integration, and dedicated support.

Trusted by Leading Organizations Worldwide

Join thousands of companies that trust Calibr to power their learning and development initiatives.

Chalet Hotels logo
Pernod Ricard logo
ProMobi logo
Metrique logo
K Raheja Corp logo
Spyne.AI logo
VuNet Systems logo
Procurement Partners logo
vEngage.AI logo
1218 Global logo
TRADEJINI logo
Oben Electric logo
IIT STartups logo
EdTech Digit logo
MindSkillz logo
NewportMed logo

Request Access For Your Organization

Start training your team in minutes!

No credit card required

Related Resources