Next up
Writing Robust Code
Continuing in
Asynchronous Programming with Python
This is a preview of subscription content
Your browser needs to be JavaScript capable to view this video
Try reloading this page, or reviewing your browser settings
The segment shows you how to use Python’s powerful concurrent.futures library to easily convert your code to multi tasking or multi processing.
Keywords
- concurrent.futures library
- map
- submit
- multi processing
- multi threading
- Python
About this video
- Author(s)
- Coen de Groot
- First online
- 22 December 2020
- DOI
- https://doi.org/10.1007/978-1-4842-6582-6_12
- Online ISBN
- 978-1-4842-6582-6
- Publisher
- Apress
- Copyright information
- © Coen de Groot 2020