Python Introduction

What is Python?

Python is a high-level and general-purpose language.

It was created by Guido van Rossum, a Dutch programmer in February 1991.

Python is a popular programming language.

Why use Python?

  • Readability: Code is easy to read and write, reducing the cost of program maintenance and development.

  •  Versatility: Suitable for a wide range of applications, from web development to data science and machine learning.

  •  Large Community: A vast, supportive community provides resources, libraries, and solutions.

  •  Extensive Libraries: The standard library and third-party packages cover almost every programming task.

  •  Interpreted Language: No compilation step makes development faster.

  •  Dynamic Typing: You don’t need to specify data types, making code concise and flexible.

  •  High-Level Language: Abstracts complex low-level details, focusing on problem-solving.

  • Platform Independence: Runs on various platforms without modification.

  •  Open Source: Free to use, modify, and distribute.

  • Beginner-Friendly: Easy to learn, making it an excellent language for beginners.

Application of Python 

  • Web Development: Frameworks like Django and Flask are popular for building web applications.
  • Data Science and Analytics: Libraries such as NumPy, Pandas, and scikit-learn are widely used for data manipulation, analysis, and machine learning.

  • Artificial Intelligence and Machine Learning: Python is a primary language for AI and ML, with libraries like TensorFlow and PyTorch.

  • Automation and Scripting: Python is excellent for automating repetitive tasks and writing scripts for various purposes.

  • Scientific Computing: Used in scientific research for simulations, data analysis, and visualization.

  • Game Development: Pygame is a Python library for creating games.
  • Desktop GUI Applications: Tools like Tkinter and PyQt enable the development of graphical user interfaces.

  • Network Servers: Python is used to create server-side applications and networking tools.
  • Embedded Systems: MicroPython allows Python to run on microcontrollers, expanding its use in embedded systems.
  • Education: Python is widely used for teaching programming due to its readability and simplicity.

Syntax of  Python

# This line prints the message “Hello, World!”
print(“Hello, World!”)


Python Comments

1. Single-line comments

  • Denoted by the `#` symbol, everything after it on the same line is considered a comment.


# This is a single-line comment
print(“Hello World!”)

2. Multi-line comments

  • While Python doesn’t have a specific syntax for multi-line comments, you can use triple-quotes (`”’` or `”””`) to create a multi-line string, and it’s often used as a multi-line comment.


This is a multi-line comment
print(“Hello World!”) 


Another way to create a multi-line comment
print(“Hello World!”)

Python Advantages and Disadvantages


  • Readability: Python’s syntax is designed for readability, making it easier to write and maintain code.
  • Versatility: Python is a versatile language, suitable for various applications, including web development, data science, machine learning, automation, and more.

  • Large Standard Library: Python comes with a comprehensive standard library, providing modules and packages for a wide range of tasks.

  • Community and Documentation: Python has a large and active community, which means plenty of resources, tutorials, and third-party libraries. The documentation is thorough and readily available.

  • Integration Capabilities: Python easily integrates with other languages and tools, allowing you to incorporate components written in different languages.

  • Developer Productivity: Python’s concise and expressive syntax can boost developer productivity, allowing for faster development and prototyping.
  • Cross-platform Support: Python is platform-independent, meaning you can write code on one platform and run it on another with little to no modification.

  • Open Source: Python is open source, encouraging collaboration and innovation.


  • Speed: Compared to lower-level languages like C or C++, Python may be slower in execution. This can be a concern for performance-critical applications.

  • Global Interpreter Lock (GIL): In multi-threaded Python programs, the Global Interpreter Lock can limit the execution of multiple threads, affecting performance.

  • Mobile Development: While there are tools like Kivy for mobile app development, Python is not as commonly used in this domain as languages like Java or Swift.
  • Design Restrictions: Python’s design philosophy can be restrictive for some developers, especially those coming from languages with a different philosophy.

  • Underused Features: Some advanced features of other languages may not be as well-supported or used in Python.

  • Database Access Layers: Python’s database access layers might not be as mature or well-supported as those in some other languages.

  • Not Ideal for Memory-intensive Tasks: Python may not be the best choice for memory-intensive tasks due to its automatic memory management.


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