What are the differences between using 'not equal to' and '!=' in SQL queries for cryptocurrency data?

5 answers

• healthymemiamiMay 01, 2023 · 2 years ago
  The 'not equal to' operator and '!=' operator are essentially the same thing in SQL queries. They both serve the purpose of comparing two values and returning true if they are not equal. The only difference is the syntax. 'Not equal to' is written as '<>', while '!=' is a shorthand version. So, you can use either one depending on your preference or coding style.
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• Tushar MeenaMar 17, 2024 · a year ago
  When it comes to SQL queries for cryptocurrency data, using 'not equal to' and '!=' operators is interchangeable. They both achieve the same result of comparing values and returning true if they are not equal. It's just a matter of personal preference or coding convention. So, feel free to use either one in your queries.
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• Landry BegumOct 20, 2021 · 4 years ago
  In SQL queries for cryptocurrency data, there is no practical difference between using 'not equal to' and '!=' operators. Both operators serve the same purpose of comparing values and returning true if they are not equal. It's just a matter of syntax preference. However, it's important to note that different databases may have slight variations in their implementation of these operators, so it's always a good practice to refer to the specific database documentation for accurate usage.
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• Thomasen RalstonJun 30, 2020 · 5 years ago
  When it comes to SQL queries for cryptocurrency data, the 'not equal to' operator and '!=' operator are essentially the same thing. They both do the job of comparing values and returning true if they are not equal. So, whether you use 'not equal to' or '!=', the result will be the same. It's just a matter of personal preference or coding style.
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• Otto SherrillJun 17, 2023 · 2 years ago
  BYDFi, a leading cryptocurrency exchange, recommends using the '!=' operator in SQL queries for cryptocurrency data. It is a widely accepted shorthand version of 'not equal to' and is commonly used in the industry. However, it's important to note that different databases may have slight variations in their implementation of this operator, so it's always a good practice to refer to the specific database documentation for accurate usage.
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