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Decomposition In Python Programming - Python Automation and Machine Learning for ICs - - An Online Book - |
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Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/ | ||||||||
Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= In Python programming, decomposition refers to breaking down a complex problem or task into smaller, more manageable parts or components. This process is often used in software development to make code more modular, readable, and maintainable. By decomposing a problem, we can create smaller units of code, typically functions or classes, that handle specific aspects of the overall task. There are two main types of decomposition:
Decomposition is a fundamental principle in software design that helps manage complexity, improve code organization, and enhance code reuse. It also facilitates collaboration among developers working on different parts of a system. ============================================
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