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Global Variables - 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 programming, a global variable is a variable that is declared outside of any function or block of code, making it accessible and modifiable throughout the entire program. Global variables have a global scope, meaning they can be used from any part of the code, including inside functions, classes, or other blocks, for instance (code): Its output is: It's important to use global variables carefully, as overuse or misuse can lead to code that is harder to understand, maintain, and debug. In many cases, it's recommended to limit the use of global variables and instead use local variables within functions or pass variables explicitly as parameters to functions. In other words, the use of global variables in Python, or any programming language, can be a topic of debate and depends on the context and specific requirements of your code. Using global variables can introduce potential issues, and some best practices suggest minimizing their use. Some reasons why using global variables might be discouraged are below:
However, there are situations where using global variables is appropriate or even necessary:
To mitigate some of the issues associated with global variables, we often consider alternative approaches such as using function arguments, encapsulating data within classes, or employing design patterns like dependency injection. ============================================
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