PHP数据运算优先级总结记忆
2016-09-22 09:34
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运算符优先级
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)
记忆方法:
1.单目运算优先级高于双目运算
2.同目大体遵循算数->逻辑->比较
3.最NB的方法就是加()!
记忆方法:
1.单目运算优先级高于双目运算
2.同目大体遵循算数->逻辑->比较
3.最NB的方法就是加()!
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