AutomationEdge Python Developer Intern Interview Questions and Answers

Use the reverse() method to reverse a list in Python.

• Use the reverse() method to reverse the elements of a list in place.

• Example: my_list = [1, 2, 3, 4]; my_list.reverse(); print(my_list) will output [4, 3, 2, 1].

Use slicing with step -1 to reverse a string in Python.

• Use string slicing with step -1 to reverse a string: str[::-1]

• Example: 'hello'[::-1] will return 'olleh'

Using slicing to reverse a string in Python

• Use slicing with a step of -1 to reverse the string

• Example: reversed_string = 'hello'[::-1]

• Print reversed_string to see the reversed result

Use slicing with step -1 to reverse a string in Python.

• Use slicing with step -1 to reverse a string: str[::-1]

• Example: s = 'hello', reversed_s = s[::-1] will result in 'olleh'

Slicing in Python allows you to extract a portion of a string or list by specifying a start and end index.

• Use square brackets [] to specify the start and end index for slicing.

• The start index is inclusive, while the end index is exclusive.

• You can also specify a step value to skip elements while slicing.

• Example: reverse_string = 'hello'; reverse_string[::-1] will output 'olleh'.

Python decorator is a design pattern that allows you to add new functionality to existing functions or methods without modifying their structure.

• Decorators are denoted by the @ symbol followed by the decorator name.

• They are functions that take another function as an argument and return a new function.

• Decorators can be used for logging, timing, authentication, and more.

• Example: @my_decorator def my_function(): pass

Exceptions in Python are handled using try-except blocks to catch and handle errors gracefully.

• Use try-except blocks to catch exceptions and handle them gracefully.

• You can specify different except blocks for different types of exceptions.

• Use the 'finally' block to execute code regardless of whether an exception was raised or not.

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)