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multithreading

Python Multithreading Essentials for Energy Modelling

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About

Most participants watch the videos at 1.5x speed. Prerequisites: None Duration: 2 hours, 8 minutes. Course Description: The course teaches multithreading in Python, exploring concepts like compilers, interpreters, concurrency and parallelism, and thread synchronization, with an explanation of how it is applied in energy trading and algorithmic energy trading. . ​​​

Overview

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© 2026 Dr Spyros Giannelos
London, United Kingdom
spyros@spyrosgiannelos.com
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