PYTHON PROGRAMMING..

Saikumar Nallagatla
4 min readSep 5, 2024

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Introduction

You’re diving into the world of Python programming is often the gateway of choice for many aspiring developers. It’s known for its simplicity and readability, making it an ideal first language. But before you can start building your Python , it’s essential to understand some foundational concepts like: literals, variables, comments, and keywords.

This article will break down these critical elements, ensuring you have a solid grasp as you embark on your Python journey.

Understanding Literals in Python :

Literals are the basic building blocks of programming; they represent fixed values that you directly write in your code. In Python, literals can be classified into several categories.

Types of Literals :

1.Numeric Literals:

i)Integer Literals: Whole numbers like 5, -3, or 100.

ii)Floating Literals: Numbers with decimal points such as 3.14 or -0.01

2.String Literals:

Enclosed within single (‘) or double quotes (“), they can represent sequences of characters like “Hello, World!” or ‘Python is fun!’.

Example :

string1 = "Hello World!"
string2 = "Python is fun!"

3.Boolean Literals:

Represent truth values: True or False.

Example :

a = 3
b = 4
print(b>a)
--
True

Literals help define data in the code, and knowing how to use them correctly is crucial for accurate programming.

fig.1

The Role of of Variables in Python :

Variables are containers for storing data values. In Python, you don’t need to declare a variable’s type; you can reuse the same variable for multiple data types.

Defining Variables:

To create a variable, simply assign a value using the equals sign (=)

Example :

num = 20
name = "saikumar"

In this snippet, num is an integer variable set to 20, while name is a string variable set to “saikumar”.

Rules for Naming Variable :

Choosing meaningful names for your variables enhances code readability. Consider the following tips:

  • Use lowercase letters for variable names.
  • Separate words with underscores (e.g., user_age).
  • Avoid using Python keywords as variable names.

Example :

lowercase = "sai"
lower_case = "sai"
fig .2

Comments: The Unsung Heroes of Code

Comments are lines in your code that you can write to provide explanations or annotations. They are critical for making your code more understandable, especially when working in teams or revisiting own code later.

Types of comments :

i)Single Line comments :

Start with a hash mark (#). They are used for brief explanations.

# This is a single line comment

ii)Multi- Line comments :

Enclosed in triple quotes (‘’’ or “””), these can span multiple lines.

"""
This is a multi-line comment.
It can span multiple lines.
"""

Importance of Comments :

  • They help explain complex logic.
  • They make your code easier to read and maintain.
  • They are useful for temporarily disabling lines of code during testing.

Keywords: The Core Language Components

Keywords are special reserved words in Python that have predefined meanings. They cannot be used as identifiers (variable names, function names, etc.)

List of Common Python Keywords :

Some common Python keywords include:-

  • def : Defines a function.
  • if, else, elif : Used for conditional statements.
  • for, while : Used for loop structures.
  • import : Imports modules.
  • class :Defines a class.

Pro Tip :) You can view a full list of Python keywords by using the following code snippet:

import keyword
print(keyword.kwlist)

['False', 'None', 'True', 'and', 'as', 'assert', 'async', 'await', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'nonlocal', 'not', 'or', 'pass', 'raise', 'return', 'try', 'while', 'with', 'yield']

Summary :

In summary, understanding literals, variables, comments, and keywords is crucial as you navigate the world of Python programming. These foundational concepts not only help you write effective code but also enhance its readability and maintainability.

Are you ready to write your first Python program?

***Remember that learning to code is a journey — each line you write brings you one step closer to becoming a proficient programmer! :)***

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Saikumar Nallagatla
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Aspiring Data Analyst | Passionate About Turning Data into Actionable Insights | Learning Every Day