GOOD EXPLANATION
The dictionary definition of concurrency is simultaneous occurrence. In Python, the things that are occurring simultaneously are called by different names (thread, task, process) but at a high level, they all refer to a sequence of instructions that run in order.
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What You'll Learn
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Master Python threading, multiprocessing, and asynchronous programming for efficient concurrency and parallelism in real-world applications
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Implement concurrent tasks using Python's asyncio, threading, and multiprocessing modules for improved performance and responsiveness
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Identify suitable concurrency models in Python to optimize resource utilization and reduce execution time in complex projects
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Debug and troubleshoot concurrency issues such as race conditions, deadlocks, and synchronization problems in Python programs
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Design scalable Python applications leveraging concurrency techniques for high-performance computing and data processing
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Apply best practices for writing safe, maintainable, and efficient concurrent Python code in diverse development environments
Course Content
9 Lessons • 42 m total
Learning Concurrency in Python The Course Overview | packtpub com
Learning Concurrency in Python Concurrency and I O Bottlenecks | packtpub com
Learning Concurrency in Python Threads in Python | packtpub com
Learning Concurrency in Python Deadlocks and Race Condition | packtpub com
Learning Concurrency in Python Sets and Decorator | packtpub com
Learning Concurrency in Python Testing Strategies | packtpub com
Learning Concurrency in Python Concurrent Futures | packtpub com
Learning Concurrency in Python Working Around the GIL and Daemon Processes | packtpub com
Learning Concurrency in Python Event Driven Programming | packtpub com
How to Get The Certificate
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You must have an Account on the platform.
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Concurrency in Python Course Description
The dictionary definition of concurrency is simultaneous occurrence. In Python, the things that are occurring simultaneously are called by different names (thread, task, process) but at a high level, they all refer to a sequence of instructions that run in order.
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