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Concurrency in Python

Track :

Programming

Lessons no : 9

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What will you learn in this course?
  • Master Python threading, multiprocessing, and asynchronous programming for efficient concurrency and parallelism in real-world applications
  • Implement concurrent tasks using Python's asyncio, threading, and multiprocessing modules for improved performance and responsiveness
  • Identify suitable concurrency models in Python to optimize resource utilization and reduce execution time in complex projects
  • Debug and troubleshoot concurrency issues such as race conditions, deadlocks, and synchronization problems in Python programs
  • Design scalable Python applications leveraging concurrency techniques for high-performance computing and data processing
  • Apply best practices for writing safe, maintainable, and efficient concurrent Python code in diverse development environments

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Lessons | 9

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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.