Northcorp Software Python Software Developer Interview Questions and Answers

List is mutable, tuple is immutable in Python.

• List is mutable, meaning its elements can be changed after creation.

• Tuple is immutable, meaning its elements cannot be changed after creation.

• List is defined using square brackets [], tuple using parentheses ().

• Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)

A simple program to determine if a number is even or odd.

• Use the modulo operator (%) to check if the number divided by 2 leaves a remainder

• If the remainder is 0, the number is even. Otherwise, it is odd

• Example: num = 6, 6 % 2 = 0 (even); num = 7, 7 % 2 = 1 (odd)

A number is even if it is divisible by 2, otherwise it is odd.

• Use the modulo operator (%) to check if a number is divisible by 2.

• If number % 2 == 0, then the number is even.

• For example, 4 % 2 == 0, so 4 is even; 5 % 2 != 0, so 5 is odd.

Python generator is a function that returns an iterator object which can be iterated over.

• Generators are created using a function with 'yield' statement instead of 'return'.

• They allow you to iterate over a sequence of items without creating the entire sequence in memory at once.

• Generators are memory efficient and can be used to generate an infinite sequence of items.

• Example: def my_generator(): for i in range(5): ...read more

A generator function in Python yields values one at a time, allowing for lazy evaluation.

• Use the 'yield' keyword in a function to return values lazily

• Generators are memory efficient as they only compute values as needed

• Example: def lazy_generator(): for i in range(5): yield i

• Call the generator function using next() to get the next value

ETL pipeline stands for Extract, Transform, Load pipeline used to extract data from various sources, transform it, and load it into a data warehouse.

• ETL pipeline involves extracting data from multiple sources such as databases, APIs, files, etc.

• The extracted data is then transformed by cleaning, filtering, aggregating, and structuring it for analysis.

• Finally, the transformed data is loaded into a data warehouse or data...read more