Python Assignment 1

(Due on 28/2/2025)

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Q1. Explain the Features of Python

Python has many useful characteristics:

• Python is easy to learn and use
• High level language, don't need to bother with low level concepts like Garbage Collection and more.
• Python is interpreted, where the code executes line-by-line so you know where the error came from.
• Python is Open Source
  • Python software and documentation are licensed under the Python Software Foundation License Version 2.
  • Starting with Python 3.8.6, examples, recipes, and other code in the documentation are dual licensed under the PSF License Version 2 and the Zero-Clause BSD license.
• Don't need to port apps between platforms, it runs as-is on any supported platform

Q2. Explain Tokens with examples

Tokens	Explanation	Some Examples
Keyword	Reserved Words, cannot use as Identifiers.\nThey have a distinct meaning	True, for
Identifier	Name that is given to class, function, variable, etc	a = 5 Here, a is the identifier
Operator	Performs a specific action with the given operands	a+5 Here, + is the operator and it will add the value of a and 5 together
Literal	Data Elements with a fixed value	lists, tuples, dictionaries
Punctuators	Used to structure the sentences and syntax of python code	,, #, \, (), {}

Unacademy

Q3. Explain the Applications of Python

• Web Development: Django and Flask to make websites
• Data Analysis: Graphing libraries like numpy, scipy to visualize data
• AI Libraries
• Game development using PyGame
• Web Scraping using Selenium Browser
• Desktop GUI apps using TKinter, PyQT, etc

Q4. Explain different Data Types of Python

Category	Type Names	Description
Text	str	Textual data representation(string)
Numeric	int, float, complex	Numbers with various precision
Sequence	list, tuple, range	Ordered collection containers
Mapping	dict	Key-value pair associations
Set	set, frozenset	Unique element collections
Boolean	bool	True/False value storage
Binary	bytes, bytearray, memoryview	Binary data handling
None	NoneType	Representation of null

W3Schools

Q5. Explain Different Types of Conversion with Examples

• Implicit conversion or coercion is when data type conversion takes place either during compilation or during run time and is handled directly by Python for you.
  • Example:

    a_int = 1
    b_float = 1.0
    c_sum = a_int + b_float
    print(c_sum)
• Explicit data type conversion, often referred to as type casting, occurs when you deliberately convert a value from one data type to another
  • Syntax: target_data_type(expression)
  • Example:

    a = int(3.14)
    print(a)

DataCamp