We may earn an affiliate commission when you visit our partners.
Course image
‪Idan Chen‬

Unlock the Power of Concurrent Programming with Python

Read more

Unlock the Power of Concurrent Programming with Python

Welcome to "The Complete Guide to Python Multithreading and Multiprocessing," your comprehensive journey into the world of parallel programming in Python. Whether you're looking to boost the performance of your applications or simply curious about how concurrent programming works, this course is designed to equip you with the skills and knowledge you need to master threading and processing in Python.

What You Will Learn

Throughout this course, we will delve deep into the essentials and advanced concepts of multithreading and multiprocessing in Python. Starting with the basics, you'll first get acquainted with Python's programming environment and fundamental concepts. As we progress, you'll:

  • Understand the difference between concurrency and parallelism, and when to use each.

  • Explore the threading module to create, manage, and synchronize threads efficiently.

  • Dive into Python's multiprocessing module to execute processes in parallel, enhancing your application's performance.

  • Learn about process communication and memory sharing between processes, crucial for complex parallel applications.

  • Apply your knowledge through practical, real-world examples, from file searching to web scraping and matrix multiplication.

  • Tackle advanced topics such as thread and process pooling, deadlock identification, prevention, and debugging techniques for concurrent programming.

Who Is This Course For?

This course is designed for:

  • Programmers and developers with a basic understanding of Python looking to enhance their skills.

  • Software engineers are interested in making their applications faster and more efficient through parallel programming.

  • Anyone curious about how concurrency works in Python and eager to apply these concepts to real-world problems.

Why Choose This Course?

  • Comprehensive Curriculum: From the foundational concepts to advanced techniques, this course covers everything you need to know about multithreading and multiprocessing in Python.

  • Practical Application: Learn through doing hands-on exercises and real-world examples that ensure you can apply what you've learned immediately.

  • Expert Instruction: Benefit from detailed explanations and tips from an experienced developer who's passionate about making concurrency accessible to everyone.

Join us on this journey through the powerful world of concurrent programming in Python, and unlock the potential to create faster, more efficient, and scalable applications. Enroll in "The Complete Guide to Python Multithreading and Multiprocessing" today and take the first step towards mastering Python parallel programming.

Idan Chen

Enroll now

12 deals to help you save

We found 12 deals and offers that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Use code at checkout. Ended October 29
24-Hour Flash Sale
Save on all online courses in your cart and take advantage of big savings.
FLASH SALE
24T6MT102824
Use code at checkout. Ended October 19
24-Hour Flash Sale
Save on all online courses in your cart and take advantage of big savings.
FLASH SALE
ST15MT100124A
Ended October 8
24-Hour Flash Sale
Take advantage of big savings on online courses.
Up to
80%
off
Ended September 28
24-Hour Flash Sale! Save up to 85% on Udemy online courses.
For 24 hours, save big on courses from Udemy's extensive catalog.
Up to
85%
off
Ended September 25
Save on courses
Gain the skills you need to reach your next career milestone.
Up to
85%
off
Use code at checkout. Only 2 days left!
24-Hour Sale
Save with steep discounts on most courses including bestsellers from popular instructors.
Flash Sale!
ST7MT110524
Use code at checkout. Ended October 12
Explore new possibilities
Start exploring new possibilities for your future with courses on sale.
Up to
85%
off
ST14MT101024
Use code at checkout. Valid until November 13
Get skills that impress
Learn from courses across popular topics and take big discounts during this 48-hour sale.
Up to
80%
off
ST20MT111124A
Ended October 1
Personal Plan sale
Gain unlimited access to thousands of courses. For a limited time, save when you start an annual subscription.
From
40%
off
Use code at checkout. Valid until December 1
For new customers
Save when you purchase top courses. For new customers only.
Special Offer
UDEAFNULP2024
Ended November 1
New customer offer
New customers, complete your first order and save big.
Up to
80%
off
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off

What's inside

Learning objectives

  • Fundamentals of python programming: refresh your knowledge on python basics including functions, classes, modules, and decorators.
  • Concurrency vs. parallelism: understand the difference and when to use each in your applications.
  • Introduction to threading in python: learn how to create, manage, and synchronize threads using the threading module.
  • Deep dive into the global interpreter lock (gil): discover how the gil affects multithreading in python and strategies to work around it.
  • Basics of multiprocessing: utilize the multiprocessing module to run code across multiple cpu cores for true parallelism.
  • Process communication: master techniques for sharing data and messages between processes to build efficient parallel applications.
  • Advanced threading and multiprocessing techniques: explore thread pools, process pools, locks, semaphores, and condition variables to handle complex concurrency
  • Debugging and optimizing: learn how to debug and optimize threaded and multiprocessed applications for maximum performance.
  • Best practices: gain insights into best practices for writing clean, efficient, and scalable concurrent code.

Syllabus

Set up their Python environment
Introduction to Python paralleling
Installing Python and Setting Up Your Environment
How to Install Python 3 and Use Virtual Environments (venv) on Windows- Article
Read more
How to Install Python 3 and Use Virtual Environments (venv) on linux- Article
How to Install Python 3 and Use Virtual Environments (venv) on Mac- Article
Installing Pycharm - Article
What will students be able to define and use functions, understand object-oriented programming, organize code with modules, and enhance functions with decorators.
Functions in Python: Definition and Usage
Functions in Python: Definition and Usage - QUIZ
Functions in Python: Definition and Usage - Code Exercise
Modules and Packages: Organizing Code
Modules and Packages: Organizing Code - Coding Exercise
Modules and Packages: Organizing Code - QUIZ
Understanding Python Classes and Objects
Understanding Python Classes and Objects - QUIZ
Understanding Python Classes and Objects - Coding Exercise
be able to distinguish between concurrency and parallelism and understand the role of the GIL in Python threading.
Understanding Concurrency: Threads vs. Processes
Threads in Python and the Global Interpreter Lock (GIL)
students be able to create, manage, and synchronize threads in Python applications.
Creating Your First Thread - Presentation
Creating Your First Thread - Code
Joining Threads: Understanding join() - Presentation
Joining Threads: Understanding join() - Code
Joining Threads - Code Exercise
Daemon Threads: Background Execution - Presentation
Daemon Threads: Background Execution - Code
Daemon Threads - Code Exercise
Basics of Threading in Python Quiz
students be able to implement advanced threading concepts such as locks, deadlocks, and condition variables for efficient thread synchronization.
Thread Synchronization: Using Locks - Presentation
Thread Synchronization: Using Locks - Code
Thread Synchronization: Using Locks Quiz
Deadlocks: Identification and Prevention - Presentation
Deadlocks: Identification and Prevention - Code
Deadlocks: Identification and Prevention - Quiz
Condition Variables and Wait Groups - Presentation
Condition Variables and Wait Groups - Code
Condition Variables and Wait Groups Quiz
Condition Variables and Wait Groups - Code Exercise
Using Barriers in Threading - Presentation
Using Barriers in Threading - Code
Using Barriers in Threading - Code Exercise
Using Barriers in Threading - Quiz
students be able to utilize multiprocessing to create and manage processes for executing tasks in parallel.
Understanding Processes in Python - Presentation
Understanding Processes in Python - Code
Understanding Processes in Python - Code Exercise
Creating and Managing Processes - Presentation
Creating and Managing Processes - Code
Creating and Managing Processes - Quiz
Memory Sharing Between Processes - Presentation
Memory Sharing Between Processes: Value - Code
Memory Sharing Between Processes: Array - Code
Memory Sharing Between Processes - Quiz
Communication Between Processes: Pipes and Queues - Presentation
Communication Between Processes: Pipes and Queues - Code - Part 1
Communication Between Processes: Pipes and Queues - Code - Part 2
Communication Between Processes: Pipes and Queues - Quiz
students be able to apply threading and multiprocessing concepts to real-world problems, enhancing application performance.
File Searching with Threads and Processes - Presentation
File Searching with Threads and Processes - Code
Matrix Multiplication: Comparing Single and Multi-threaded - Presentation
students be able to efficiently manage multiple threads and processes using pooling techniques.
Using ThreadPoolExecutor and ProcessPoolExecutor - Presentation
Using ThreadPoolExecutor and ProcessPoolExecutor - Code
Using ThreadPoolExecutor and ProcessPoolExecutor - Quiz
Real-world Applications of Pools - Presentation
Real-world Applications of Pools - Code
Real-world Applications of Pools - Quiz
Debugging Multithreaded and Multiprocess Applications - Presentation
Debugging Multithreaded and Multiprocess Applications - Code
Debugging Multithreaded and Multiprocess Applications - Quiz
Extra Content - Creating Logger class using logging library - Code
students be able to review key concepts and identify paths for further exploration and learning in concurrent programming.
Review and Key Takeaways
Additional Resources for Advanced Learning

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops valuable industry skills in parallel programming, boosting career prospects
Taught by experienced developer Idan Chen, recognized expert in concurrent programming
Comprehensive coverage of both fundamental and advanced concepts, building a solid foundation
Leverages hands-on exercises and real-world examples, enhancing practical application
In-depth exploration of the GIL in Python, providing a clear understanding of its impact on threading
Requires some prior knowledge in Python programming, may not be suitable for complete beginners

Save this course

Save Complete Guide to Python Multithreading and Multiprocessing to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Complete Guide to Python Multithreading and Multiprocessing with these activities:
Review Python basics
Prepare for this course by reviewing Python basics to ensure you have a strong knowledge of its syntax and structures.
Show steps
  • Review functions in Python
  • Review classes in Python
  • Review modules in Python
  • Practice writing simple Python programs
Show all one activities

Career center

Learners who complete Complete Guide to Python Multithreading and Multiprocessing will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Complete Guide to Python Multithreading and Multiprocessing.
Learn Parallel Computing in Python
Most relevant
Java Multithreading, Concurrency & Performance...
Most relevant
Mastering Multithreading Programming with Go (Golang)
Most relevant
Learn Parallel Programming with C# and .NET
Most relevant
Python Programming - Multithreading, OOP, NumPy and Pandas
Most relevant
Concurrent Programming in Java
Most relevant
Mastering Multithreading with Go
Most relevant
Learn Multithreading with Modern C++
Most relevant
Getting Started with Python 3 Concurrency
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser