Python Concurrent Programming: Multiprocessing in Python
Python 3.0+
| Beginner
- 10 Videos | 1h 16m 8s
- Includes Assessment
- Earns a Badge
This course is a lab-only exploration of the creation and management of processes in Python to speed up the execution of your programs. In this 10-video course, learners will use Jupyter notebooks to execute all programs demonstrated. First, you will learn how to create initialized threads, and how to do the same with processes in Python. Then you will examine different thread-safe data structures in Python to implement queues, stacks, and priority queues. Next, you will learn how to use Python for synchronization mechanisms and inter-process communication, and will see a comparison of processes to threads. You will learn to use Python's built-in queue data structure for multithreaded applications, and how to implement multiprocessing. Continue by learning how processes are created and executed and how they differ from threads when one is using shared resources. You will explore how to use a manager class, or service process manager to share any Python types. Finally, you will examine the available mechanisms in Python for communication and synchronization between processes.
WHAT YOU WILL LEARN
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discover the key concepts covered in this course
describe the different types of Queue objects available in Python
implement producer and consumer threads that add to and remove from a queue
define, initialize, and execute a process in Python
distinguish between multiprocessing and multithreading in the context of sharing data in memory -
share data between processes using shared memory
share complex Python data between processes using the Manager class
implement locks to allow only one process to update a shared resource
use queues and pipes to enable communication between concurrent processes
recall the ways in which processes can share data and distinguish between Queue and Pipe
IN THIS COURSE
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1.Course Overview2m 26sUP NEXT
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2.An Introduction to Python Queues8m 20s
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3.Multithreading with Python Queues9m 33s
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4.Creating Processes8m 29s
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5.Comparing Multiprocessing and Multithreading7m 18s
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6.Multiprocessing Using Shared Memory8m 35s
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7.Multiprocessing Using the Manager Class6m 48s
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8.Synchronizing Concurrent Processes with Locks10m 1s
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9.Inter-process Communication in Python8m 33s
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10.Exercise: Multiprocessing in Python6m 7s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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