Python Concurrent Programming: Multiprocessing in Python

Python 3.0+
  • 10 Videos | 1h 20m 8s
  • Includes Assessment
  • Earns a Badge
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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

  • 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

  • Playable
    1. 
    Course Overview
    2m 26s
    UP NEXT
  • Playable
    2. 
    An Introduction to Python Queues
    8m 20s
  • Locked
    3. 
    Multithreading with Python Queues
    9m 33s
  • Locked
    4. 
    Creating Processes
    8m 29s
  • Locked
    5. 
    Comparing Multiprocessing and Multithreading
    7m 18s
  • Locked
    6. 
    Multiprocessing Using Shared Memory
    8m 35s
  • Locked
    7. 
    Multiprocessing Using the Manager Class
    6m 48s
  • Locked
    8. 
    Synchronizing Concurrent Processes with Locks
    10m 1s
  • Locked
    9. 
    Inter-process Communication in Python
    8m 33s
  • Locked
    10. 
    Exercise: Multiprocessing in Python
    6m 7s

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