Home Backend Development Python Tutorial Python Fundamentals || Arrays, Classes & Objects, For & While Loops, Functions, If else, Inheritance, Lambda.

Python Fundamentals || Arrays, Classes & Objects, For & While Loops, Functions, If else, Inheritance, Lambda.

Aug 29, 2024 pm 04:30 PM

Python Fundamentals || Arrays, Classes & Objects, For & While Loops, Functions, If else, Inheritance, Lambda.

It's Day #9 of #100daysofMiva. See GitHub for code snippets.

Today, I delved deep into Python, focusing on some fundamental concepts that are crucial for any beginner. This documentation is crafted for those who are just starting their Python journey and want to grasp the basics with practical examples.

If you're a beginner and this is your first time reading this, consider reading

  • Day #1 (Part 1) || revisiting Python from scratch
  • Day #2 of #100daysofMiva || Python Lists
  • Python Tuples, Sets & Dictionaries || Day #5 of #100daysofMiva

This will help you in your learning journey with the fundamentals of Python.

1. Python if-else Statements

The if-else statement is the backbone of decision-making in Python. It allows you to execute certain blocks of code based on a condition.

Syntax:

python

if condition:
    # code block
else:
    # code block
Copy after login

Example:

python

age = 18
if age >= 18:
    print("You are eligible to vote.")
else:
    print("You are not eligible to vote.")
Copy after login

In this example, if the variable age is 18 or more, the program prints that the user is eligible to vote; otherwise, it says they are not eligible.

2. Python while Loops

A while loop repeatedly executes a block of code as long as a specified condition is true.

Syntax:

python

while condition:
    # code block
Copy after login

Example:

python

counter = 0
while counter < 5:
    print("Counter is at:", counter)
    counter += 1
Copy after login

Here, the loop runs until counter reaches 5, incrementing the counter by 1 on each iteration.

3. Python for Loops

for loops are used to iterate over sequences (like lists, tuples, or strings) and execute a block of code for each item.

Syntax:

python

for item in sequence:
    # code block
Copy after login

Example:

python

numbers = [1, 2, 3, 4, 5]
for num in numbers:
    print(num)
Copy after login

This loop iterates over each number in the numbers list and prints it.

4. Python Functions

Functions are blocks of reusable code that perform a specific task. They make your code modular and easier to manage.

Syntax:

python

def function_name(parameters):
    # code block
    return value
Copy after login

Example:

python

def greet(name):
    return f"Hello, {name}!"

message = greet("Miva")
print(message)
Copy after login

This function greet takes a name as a parameter and returns a greeting message.

5. Lambda Functions

A lambda function is a small anonymous function defined with the lambda keyword. It's useful for simple operations that are used only once or for passing into other functions.

Syntax:

python

lambda arguments: expression
Copy after login

Example:

python

multiply = lambda x, y: x * y
result = multiply(2, 3)
print(result)
Copy after login

Here, the lambda function multiplies two numbers and returns the result.

6. Python Arrays (Lists)

Arrays (in Python, they are typically lists) are used to store multiple items in a single variable.

Syntax:

python

list_name = [item1, item2, item3]
Copy after login

Example:

python

fruits = ["apple", "banana", "cherry"]
print(fruits[1])  # Outputs: banana
Copy after login

Lists are indexed starting from 0, so fruits[1] returns the second item, "banana".

7. Python Classes and Objects

Classes and objects are the foundation of Object-Oriented Programming (OOP) in Python. A class is a blueprint for creating objects (instances), and an object is an instance of a class.

Syntax:

python

class ClassName:
    def __init__(self, attribute):
        self.attribute = attribute
Copy after login

Example:

python

class Dog:
    def __init__(self, name, age):
        self.name = name
        self.age = age

    def bark(self):
        return f"{self.name} says Woof!"

my_dog = Dog("Rex", 5)
print(my_dog.bark())
Copy after login

In this example, Dog is a class with attributes name and age, and a method bark. The my_dog object is an instance of the Dog class.

8. Python Inheritance

Inheritance allows a new class to inherit attributes and methods from an existing class. This promotes code reuse and can be very powerful when used correctly.

Syntax:

python

class ParentClass:
    # code block

class ChildClass(ParentClass):
    # code block
Copy after login

Example:

python

class Animal:
    def __init__(self, name):
        self.name = name

    def make_sound(self):
        return f"{self.name} makes a sound."

class Cat(Animal):
    def make_sound(self):
        return f"{self.name} says Meow!"

my_cat = Cat("Whiskers")
print(my_cat.make_sound())
Copy after login

Here, Cat inherits from Animal but overrides the make_sound method to return a specific sound for cats.

The above is the detailed content of Python Fundamentals || Arrays, Classes & Objects, For & While Loops, Functions, If else, Inheritance, Lambda.. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1268
29
C# Tutorial
1246
24
Python vs. C  : Applications and Use Cases Compared Python vs. C : Applications and Use Cases Compared Apr 12, 2025 am 12:01 AM

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

Python: Games, GUIs, and More Python: Games, GUIs, and More Apr 13, 2025 am 12:14 AM

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python vs. C  : Learning Curves and Ease of Use Python vs. C : Learning Curves and Ease of Use Apr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

The 2-Hour Python Plan: A Realistic Approach The 2-Hour Python Plan: A Realistic Approach Apr 11, 2025 am 12:04 AM

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python and Time: Making the Most of Your Study Time Python and Time: Making the Most of Your Study Time Apr 14, 2025 am 12:02 AM

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python vs. C  : Exploring Performance and Efficiency Python vs. C : Exploring Performance and Efficiency Apr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python: Automation, Scripting, and Task Management Python: Automation, Scripting, and Task Management Apr 16, 2025 am 12:14 AM

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Python: Exploring Its Primary Applications Python: Exploring Its Primary Applications Apr 10, 2025 am 09:41 AM

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

See all articles