What do you mean by lambda functions and how to use them?
As a programming technique, lambda functions are small anonymous functions that are often used when a function needs to be executed for a very short period of time. An anonymous function is a function without a name and it is declared using the lambda keyword in Python. In many cases, this can be used whenever you want to pass a function as an argument to a higher-order function, i.e., to a function that accepts other functions as arguments.
Syntax:
Even when there is no return statement, the function simply returns the expression result. The lambda function can accept several arguments but is restricted to only one expression.
Here, lambda x: x+10 is the lambda function. ‘x’ is the argument x + 10 is evaluated and the result of the expression is returned.
Output:
Here, we have a function addfunc that takes one argument num, where the argument is to be multiplied by a number x that is unknown.
Output:
1 What will be the output of the following code?
Code:
Output:
Reason:
In this case, the main() method is overloaded. The JVM (Java Virtual Machine), however, only understands methods that have a String[] argument in their definition. ScalerEdge, as a result, is printed in the output and the overloaded main method is ignored.
What data type would you use if you wanted it to be immutable?
Unlike mutable data types, immutable data types cannot be altered following their creation. Mutable data types can be changed after they have been created, but immutable data types cannot. A few examples of immutable data types include bytes, numeric data types, strings, frozen sets, and tuples.
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1 What are the SQL Constraints?
In SQL, constraints specify the rules for table data. To limit the type of data that can be entered into a table, constraints are used. This ensures that the tables data is accurate and reliable. Data actions are aborted when a constraint is violated. Constraints may be defined at the column or table level. As the name implies, a column-level constraint is applied to a particular column, whereas a table-level constraint is applied to the entire table. Constraints can be specified when creating the table, or afterward using the ALTER TABLE statement.
Syntax:
Constraints available in SQL