The expression of an array is the name of the array followed by the index of the particular element in the square bracket.

The first element in every array has an index of zero.

Every array object knows its own length and the length of an array can always be changed.

An indexed array name is an array-access expression.

Elements of the arrays can be either primitive or reference types.

The highest index in an array is one less than the number of elements in the array.

In the syntax for 'Enhanced for statement', i.e., for (parameter : arrayName) statement, parameter has a type and an identifier and arrayName is the array through which to iterate.

In Enhancement for Statement, it avoids the possibility of "stepping outside" the array.

The syntax for 'Enhanced for statement' is  for (parameter : arrayName) statement

The Enhancement for Statement simplifies the code for iterating through an array.

'Enhanced for statement' iterates through the elements of an array without using a counter.

In Enhancement for Statement, the parameter type does not have to be consistent with the array's element type.

.iloc[] accesses rows only, .loc[] accesses columns only

Both are integer position-based

.iloc[] is faster than .loc[]

.loc[] is label-based, .iloc[] is integer position-based

Rows with scores 60 and 90

All of the rows

Only the row with score 40

A DataFrame with all columns except the specified one.

A series containing the values of the specified column.

A list of all column names.

A string corresponding to the column name/label.

pd.read_csv()

pd.get_csv()

pd.load_csv()

pd.import_csv()

Yes.

No.