TechBeamersTechBeamers
  • Learn ProgrammingLearn Programming
    • Python Programming
      • Python Basic
      • Python OOP
      • Python Pandas
      • Python PIP
      • Python Advanced
      • Python Selenium
    • Python Examples
    • Selenium Tutorials
      • Selenium with Java
      • Selenium with Python
    • Software Testing Tutorials
    • Java Programming
      • Java Basic
      • Java Flow Control
      • Java OOP
    • C Programming
    • Linux Commands
    • MySQL Commands
    • Agile in Software
    • AngularJS Guides
    • Android Tutorials
  • Interview PrepInterview Prep
    • SQL Interview Questions
    • Testing Interview Q&A
    • Python Interview Q&A
    • Selenium Interview Q&A
    • C Sharp Interview Q&A
    • PHP Interview Questions
    • Java Interview Questions
    • Web Development Q&A
  • Self AssessmentSelf Assessment
    • Python Test
    • Java Online Test
    • Selenium Quiz
    • Testing Quiz
    • HTML CSS Quiz
    • Shell Script Test
    • C/C++ Coding Test
Search
  • Python Multiline String
  • Python Multiline Comment
  • Python Iterate String
  • Python Dictionary
  • Python Lists
  • Python List Contains
  • Page Object Model
  • TestNG Annotations
  • Python Function Quiz
  • Python String Quiz
  • Python OOP Test
  • Java Spring Test
  • Java Collection Quiz
  • JavaScript Skill Test
  • Selenium Skill Test
  • Selenium Python Quiz
  • Shell Scripting Test
  • Latest Python Q&A
  • CSharp Coding Q&A
  • SQL Query Question
  • Top Selenium Q&A
  • Top QA Questions
  • Latest Testing Q&A
  • REST API Questions
  • Linux Interview Q&A
  • Shell Script Questions
© 2024 TechBeamers. All Rights Reserved.
Reading: Python Syntax – Quick Start Guide
Font ResizerAa
TechBeamersTechBeamers
Font ResizerAa
  • Python
  • SQL
  • C
  • Java
  • Testing
  • Selenium
  • Agile Concepts Simplified
  • Linux
  • MySQL
  • Python Quizzes
  • Java Quiz
  • Testing Quiz
  • Shell Script Quiz
  • WebDev Interview
  • Python Basic
  • Python Examples
  • Python Advanced
  • Python OOP
  • Python Selenium
  • General Tech
Search
  • Programming Tutorials
    • Python Tutorial
    • Python Examples
    • Java Tutorial
    • C Tutorial
    • MySQL Tutorial
    • Selenium Tutorial
    • Testing Tutorial
  • Top Interview Q&A
    • SQL Interview
    • Web Dev Interview
  • Best Coding Quiz
    • Python Quizzes
    • Java Quiz
    • Testing Quiz
    • ShellScript Quiz
Follow US
© 2024 TechBeamers. All Rights Reserved.
Python BasicPython Tutorials

Python Syntax – Quick Start Guide

Last updated: Feb 24, 2024 10:17 am
By Meenakshi Agarwal
Share
10 Min Read
What is Python Syntax
SHARE

Python, the language known for its simplicity and friendliness, has a way of writing code called syntax. It’s like the grammar of Python, telling you how to structure your code so the computer can understand and execute it. In this guide, we’re going to break down different parts of Python syntax, with clear explanations and plenty of examples to help you get the hang of it.

Contents
1. Understanding How Python Code Works1.1 Indentation in Python1.2 What is the standard indentation size in Python?2. Getting to Know Variables and Data Types2.1 Python Variables / KeyWords2.2 Python Data Types3. Python If, Else, and Loops Syntax3.1 Making Decisions with Python If-Else3.2 Repeating Actions with Loops4. Writing Functions: Making Your Code Speak5. Handling Errors: Python Exception Handling6. Creating Lists with Style: List Comprehensions7. Using Modules and Libraries

What is Python Syntax?

Python syntax is the set of rules governing how Python code is written. It defines the structure and organization of statements, variables, and functions, ensuring code clarity and readability. Understanding Python syntax is essential for writing effective and error-free programs in the language. Let’s consider a simple example of Python syntax:

# Example: Printing a Message
message = "Hello, Python!"
print(message)

In this snippet, we assign a message to the variable message and then use the print statement to display it. This illustrates the basic structure and usage of Python syntax.

While learning any programming language, the first thing to learn is its syntax. The same thing is true for Python. Python syntax is simple and you can remember it easily. However, it has a lot of built-in constructs to ease up your coding tasks. So, it is important to understand their syntax variations. Hence, let’s start to understand the Python syntax.

1. Understanding How Python Code Works

Python code is like a story with a series of sentences. Each sentence does something specific. Unlike some other languages, Python uses spaces at the beginning of lines to organize related sentences, making it easy to read. Let’s check out a simple example:

# Example 1: Basic Python Code Structure
print("Hello, World!")  # This prints a message
x = 5
if x > 0:
    print("x is positive.")

In this example, the print sentence shows a message, and the if sentence checks if x is greater than 0, printing another message if it is.

1.1 Indentation in Python

Indentation is super important in Python. While other languages use braces to group code, Python relies on indentation. It’s not just for looks; it tells Python where different parts of the code start and end. Like, if you have a loop or a function, Python knows it based on how indented the code is. Getting indentation wrong can mess up the code and cause errors. So, making sure your code is indented correctly is a big deal to write good Python programs.

Here’s an example that demonstrates the significance of indentation in Python syntax:

# Example: Using Indentation
def greet(name):
    if len(name) > 0:
        print(f"Hello, {name}!")
    else:
        print("Hello, stranger!")

# Calling the function with indentation
greet("Meenakshi Agarwal")

In this example, the indentation within the greet function and the if-else block is crucial for determining the scope of each code segment. Incorrect indentation could lead to syntax errors or unintended behavior.

1.2 What is the standard indentation size in Python?

The typical and widely accepted indentation size in Python is four spaces. Even though some people might use two spaces or a different size, most folks stick with four. This consistency is vital for making code easy to read. When everyone uses the same size, it helps avoid confusion. Most code editors automatically set up four spaces for Python.

2. Getting to Know Variables and Data Types

In Python, you use variables to store information. You don’t have to say what kind of information it is; Python figures that out on its own. Let’s explore variables and types with everyday examples:

2.1 Python Variables / KeyWords

# Example 2.1: Naming and Storing Information
name = "John"
age = 25
height = 1.75
is_student = False

print(f"Name: {name}, Age: {age}, Height: {height}, Student: {is_student}")

In this bit, name stores a name, age stores a number, height stores a height, and is_student stores whether someone is a student or not.

2.2 Python Data Types

# Example 2.2: Exploring Different Types of Data
num1 = 10
num2 = 3.14
text = "Python"

print(type(num1))  # This tells you the type of num1
print(type(num2))  # This tells you the type of num2
print(type(text))  # This tells you the type of text

Here, we’re checking what kind of information num1, num2, and text are storing.

3. Python If, Else, and Loops Syntax

In Python, you can make decisions with if and else, and you can repeat actions with loops. Let’s go through these with real-world examples:

3.1 Making Decisions with Python If-Else

# Example 3.1: Making Grade Decisions
grade = 85

if grade >= 90:
    print("A")
elif grade >= 80:
    print("B")
elif grade >= 70:
    print("C")
else:
    print("F")

In this story, we’re deciding what letter grade to give based on the value of grade.

3.2 Repeating Actions with Loops

3.2.1 Python ‘for’ Loop
# Example 3.2.1: Going Through a List of Fruits
fruits = ["apple", "banana", "orange"]

for fruit in fruits:
    print(fruit)

Here, we’re going through a list of fruits, like reading a list.

3.2.2 Python ‘while’ Loop
# Example 3.2.2: Repeating Until a Condition is Met
counter = 0

while counter < 5:
    print(counter)
    counter += 1

In this case, we’re repeating an action until a condition is met, just like counting until we reach 5.

4. Writing Functions: Making Your Code Speak

Functions in Python are like recipes. You give them some ingredients, and they give you back a result. Let’s cook up a function with a simple example:

# Example 4: Cooking Up Greetings
def greet(name):
    """This function says hello to a person."""
    print(f"Hello, {name}!")

# Using the function
greet("Harsh")
greet("Meenakshi")

In this cooking adventure, our function greet takes a name and says hello. We even have a little note (docstring) describing what our function does.

5. Handling Errors: Python Exception Handling

In the real world, things don’t always go as planned. Python helps us deal with unexpected issues using try, except, else, and finally. Let’s handle errors like we handle bumps in the road:

# Example 5: Dealing with Unexpected Situations
try:
    result = 10 / 0
except ZeroDivisionError:
    print("Oops! Can't divide by zero.")
else:
    print(f"Result: {result}")
finally:
    print("This part always happens.")

In this example, we’re trying to do something tricky, and if it goes wrong, we have a plan to handle it.

6. Creating Lists with Style: List Comprehensions

Python allows us to create lists in a cool way called list comprehensions. It’s like a shortcut for making lists. Let’s create a list in a stylish way:

# Example 6: Stylish List Creation
numbers = [1, 11, 111, 1111, 11111]

sqr_nums = [num ** 2 for num in numbers]
print(sqr_nums)

In this stylish move, we’re squaring each number in the list with a single line of code.

7. Using Modules and Libraries

Python is like a superhero with a utility belt full of tools. We can use these tools by bringing in modules. Let’s grab a tool from the Python toolbox:

# Example 7: Using a Toolbox - the 'math' Module
import math

radius = 5
area = math.pi * radius ** 2
print(f"Area of the circle: {area}")

Here, we’re using the math tool to do some calculations. Think of it like borrowing a calculator for a specific job.

Wrapping Up: Grasping Python Syntax

Navigating through Python syntax is like learning the alphabet of a language. In this short tutorial, we covered the basics—from code structure and variables to decision-making, repeating actions, crafting functions, handling errors, creating lists stylishly, and using powerful tools from Python’s toolbox. As you begin your Python journey, let these principles be on your tips.

Happy coding with Python!

You Might Also Like

How to Connect to PostgreSQL in Python

Generate Random IP Address (IPv4/IPv6) in Python

Python Remove Elements from a List

How to Use Extent Report in Python

10 Python Tricky Coding Exercises

Meenakshi Agarwal Avatar
By Meenakshi Agarwal
Follow:
Hi, I'm Meenakshi Agarwal. I have a Bachelor's degree in Computer Science and a Master's degree in Computer Applications. After spending over a decade in large MNCs, I gained extensive experience in programming, coding, software development, testing, and automation. Now, I share my knowledge through tutorials, quizzes, and interview questions on Python, Java, Selenium, SQL, and C# on my blog, TechBeamers.com.
Previous Article Python String indexOf Using Find() and Index() How to Achieve Python String indexOf Using Find() and Index()
Next Article Sampling Interview Questions Answered in Short 25 Sampling Interview Questions and Answers to Remember

Popular Tutorials

SQL Interview Questions List
50 SQL Practice Questions for Good Results in Interview
SQL Interview Nov 01, 2016
Demo Websites You Need to Practice Selenium
7 Sites to Practice Selenium for Free in 2024
Selenium Tutorial Feb 08, 2016
SQL Exercises with Sample Table and Demo Data
SQL Exercises – Complex Queries
SQL Interview May 10, 2020
Java Coding Questions for Software Testers
15 Java Coding Questions for Testers
Selenium Tutorial Jun 17, 2016
30 Quick Python Programming Questions On List, Tuple & Dictionary
30 Python Programming Questions On List, Tuple, and Dictionary
Python Basic Python Tutorials Oct 07, 2016
//
Our tutorials are written by real people who’ve put in the time to research and test thoroughly. Whether you’re a beginner or a pro, our tutorials will guide you through everything you need to learn a programming language.

Top Coding Tips

  • PYTHON TIPS
  • PANDAS TIPSNew
  • DATA ANALYSIS TIPS
  • SELENIUM TIPS
  • C CODING TIPS
  • GDB DEBUG TIPS
  • SQL TIPS & TRICKS

Top Tutorials

  • PYTHON TUTORIAL FOR BEGINNERS
  • SELENIUM WEBDRIVER TUTORIAL
  • SELENIUM PYTHON TUTORIAL
  • SELENIUM DEMO WEBSITESHot
  • TESTNG TUTORIALS FOR BEGINNERS
  • PYTHON MULTITHREADING TUTORIAL
  • JAVA MULTITHREADING TUTORIAL

Sign Up for Our Newsletter

Subscribe to our newsletter to get our newest articles instantly!

Loading
TechBeamersTechBeamers
Follow US
© 2024 TechBeamers. All Rights Reserved.
  • About
  • Contact
  • Disclaimer
  • Privacy Policy
  • Terms of Use
TechBeamers Newsletter - Subscribe for Latest Updates
Join Us!

Subscribe to our newsletter and never miss the latest tech tutorials, quizzes, and tips.

Loading
Zero spam, Unsubscribe at any time.
x