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What is good to remember when giving your variables a name?
The variable name must describe the information represented by the variable. A variable name should tell you specifically in words what the variable stands for. Your code will be read more times than it is written. Prioritize how easy your code is to understand rather than how quickly it is written.
What are the rules to be followed while naming the variables?
Variable names cannot contain spaces. Variable names must begin with a letter, an underscore (_) or a dollar sign ($). Variable names can only contain letters, numbers, underscores, or dollar signs. Variable names are case-sensitive.
Can you have in variable name?
Variable names can be arbitrarily long. They can contain both letters and digits, but they have to begin with a letter or an underscore. Although it is legal to use uppercase letters, by convention we don’t. The underscore character ( _ ) can also appear in a name.
What’s the best way to name a variable?
Use variables that describes clearly what it contains. If the class is going to get big, or if it is in the public scope the variable name needs to be described more accurately. Of course good naming makes you and other people understand the code better. for example: use “employeeNumber” insetead of just “number”.
Why are variable names important in data science?
One of our important points to remember for naming variables was consistency counts. Being consistent with variable names means you spend less time worrying about naming, and more time solving the problem.
Which is an important point to remember when naming variables?
One of our important points to remember for naming variables was consistency counts. Being consistent with variable names means you spend less time worrying about naming, and more time solving the problem. This point is relevant when you add aggregations to variable names.
Why do we need descriptive names for variables?
If you are having trouble naming your variables, it means you don’t know the model or your code well enough. We write code to solve real-world problems, and we need to understand what our model is trying to capture. Descriptive variable names let you work at a higher level of abstraction than a formula, helping you focus on the problem domain.