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Assignment-1st
Omca201
- A. Justify whether Python is compiled language or an interpreted language or both.
Ans: Python is often referred to as an interpreted language, but this description is not entirely accurate. It can be considered both compiled and interpreted, depending on how we define these terms.
Why Python is Both Compiled
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- Why is indentation required in Python programming?
Ans: Indentation in Python programming is essential because it defines the structure and flow of the code. Unlike many other programming languages that use braces {} or keywords to define blocks of code, Python relies on
- Write short note on
(i) List
(ii) Tuples
(iii) Dictionary
(iv) Set
Ans: (i) List
A list in Python is a mutable, ordered collection of elements. Lists can store elements of different data types, such as integers, strings, or even other lists. They are defined using square brackets [].
- Example:
- my_list = [1, “hello”, 3.14]
- Key Features:
- Mutable: Elements
- A. Write a Python program using recursion to display the first 10 terms of Fibonacci sequence.
Ans:
Python Program Using Recursion to Display the First 10 Terms of Fibonacci Sequence
def fibonacci(n):
if n <= 0:
return 0
elif n == 1:
return 1
else:
return fibonacci(n-1) + fibonacci(n-2)
- A. Briefly explain the use of Assertions in Pyhton.
Ans: A. Use of Assertions in Python
Assertions are used in Python to test conditions and validate assumptions in the code during runtime. They are primarily used as a debugging aid to ensure that the program behaves as expected. If the assertion fails, Python raises an
- Briefly explain the uses of Web Scraping.
Ans: Uses of Web Scraping
Web scraping is the process of extracting data from websites using automated tools or scripts. It is a powerful technique for gathering information that is publicly available on the web and is widely used for various
- A. Write short note on Pandas library
Ans: A. Pandas Library
Pandas is a powerful and widely-used Python library for data manipulation and analysis. It provides efficient data structures like Series and Data Frame to handle structured data such as tables, time series, and more.