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Python Thread

Track :

Programming

Lessons no : 18

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What will you learn in this course?
  • Understand Python threading concepts for concurrent programming and optimize application performance using multithreading techniques
  • Implement Python threads to manage multiple tasks simultaneously in real-world applications
  • Identify and resolve common issues like race conditions and deadlocks in Python multithreading projects
  • Apply Python threading modules to develop efficient, responsive, and scalable software solutions
  • Differentiate between threading and multiprocessing for effective resource utilization in Python programs
  • Utilize synchronization primitives such as locks and semaphores to control thread execution and data integrity
  • Design Python applications that leverage threading for improved user experience and system responsiveness
  • Analyze performance impacts of threading in Python to enhance application efficiency and scalability

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Lessons | 18

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Whenever we run a JavaScript program inside a web browser, JavaScript code is received by the browser's engine and the engine runs the source code to obtain the output. In a standard JavaScript engine, the source code goes through several steps and gets executed as you can see in the above given diagram.