Advanced Python Concepts

What is a linked list in Python and how is it different from a regular list?

• A linked list in Python is a data structure that consists of nodes where each node contains a data field and a reference to the next node in the sequence. This is different from a regular list in Python, which is implemented as an array and allows for constant time access to elements by index.

• A linked list in Python is a one-dimensional array, while a regular list is a multi-dimensional array

• A linked list in Python is a built-in data structure, while a regular list is a user-defined data structure

• A linked list in Python is a type of list that can only store integers, while a regular list can store any type of data

Explain the process of sorting a list in Python using the sorted() function.

• The sorted() function cannot be used to sort lists in Python

• The sorted() function sorts the list in place without returning a new sorted list

• The sorted() function requires the list elements to be of the same data type

• The process of sorting a list in Python using the sorted() function involves passing the list as an argument to the sorted() function, which then returns a new sorted list.

How can you manipulate text in Python using string methods?

• By using conditional statements to modify the text

• By importing external libraries to manipulate the text

• By using built-in string methods such as upper(), lower(), strip(), replace(), split(), etc.

• By using mathematical operations on the text

What is text slicing in Python and how is it useful in text manipulation?

• Text slicing in Python is used for creating new fonts and styles in text manipulation.

• Text slicing in Python allows for easy extraction and manipulation of specific parts of a text, making it a powerful tool for text processing and analysis.

• Text slicing in Python is only useful for counting the number of characters in a text.

• Text slicing in Python is a feature that allows for converting text into audio files.

Differentiate between 1D and 2D arrays in Python with examples.

• 1D array is for integers, 2D array is for strings

• Example of 1D array: (1, 2, 3, 4, 5). Example of 2D array: [[1, 2], [3, 4]]

• 1D array can only contain single-digit numbers, 2D array can contain double-digit numbers

• Example of 1D array: [1, 2, 3, 4, 5]. Example of 2D array: [[1, 2, 3], [4, 5, 6], [7, 8, 9]].

What are the advantages of using a linked list over a regular list in Python?

• Linked list allows for random access to elements

• Linked list has better performance for searching elements

• Constant time insertions and deletions in any position

• Linked list uses less memory than a regular list

Discuss the various sorting algorithms that can be used to sort a list in Python.

• Radix Sort

• Shell Sort

• Linear Sort

• Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, and Heap Sort

Explain the concept of indexing in text manipulation and provide an example.

• Indexing in text manipulation refers to rearranging the order of characters in a string

• Example: Indexing is only applicable to numbers and not to text

• Indexing in text manipulation involves converting text to binary code

• Example: In the string 'Hello', the character 'H' is at index 0, 'e' is at index 1, 'l' is at index 2, and so on.

How can you create a 1D array in Python using the numpy library?

• import numpy as np arr = np.array([1, 2, 3, 4, 5])

• arr = numpy.array([1, 2, 3, 4, 5])

• arr = np.array(1, 2, 3, 4, 5)

• import numpy as np arr = numpy.array(1, 2, 3, 4, 5)

What are the different ways to access elements in a 2D array in Python?

• Using a single loop to iterate through each row and column

• Using built-in functions to access elements in a 2D array

• You can access elements in a 2D array in Python using indexing or nested loops to iterate through each element.

• Accessing elements directly using their memory addresses