Introduction and History of Python

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Python is a high-level dynamic programming language that is open source and free of charge. An interpreter transforms the source code into machine code. Furthermore, it supports both object-oriented and procedure-oriented programming. This language is highly readable and incorporates English keywords. Let’s discuss the list of topics written below in more detail.

Table of Content

Introduction to Python

Python evolved into a programming language in the late 1980s when Guido Van Rossum implemented it at CWI Netherlands in December 1989. In February 1991, he released version 0.9.0 of its code to alternate sources, marking the beginning of Python’s journey.

Python’s evolution

  • 1994: With the launch of Python 1.0, features like lambda, map, filter, and reduce were introduced.
  • 2000: With the launch of Python 2.0, list comprehension and an advanced garbage collection system were introduced.
  • 2008: With the launch of Python 3.0 (“Py3K), it addresses key weaknesses in the language.

Python was strongly inspired by the ABC programming language, which introduced exception handling and interfaces with the Amoeba operating system. Other languages, like Modula-3, have also influenced the development of Python.

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Python Syntax Compared to Other Programming Languages

In Python, we use indentation instead of using curly braces, which allows us to make the code look cleaner and more readable. Indentations are spaces that we give to define the block of code.

Python syntax

if True:

    print("Hello, Python!")

C++ Syntax

if True

{

 cout<<”Hello World!”<<endl;

}

As we know, Python’s syntax is very similar to English. Let’s compare the code for printing anything as an output in Python and Java.

Python Syntax

print(‘Hello World!’)

Java Syntax

System.out.println("Hello world!");

Key Features of Python

  • Easy to Learn: Python is excellent for beginners with no need to have prior knowledge. 
  • High-Level Language: There is no need to be concerned about low-level details like memory management.
  • Interpreted: It executes the code line-by-line, which allows:

Code to run across different platforms.

Changes can be made on the fly without having to restart programs.

  • Cross-Platform: It operates seamlessly on Linux and macOS without requiring any modifications to Windows.
  • Dynamically Typed: Variable types are checked at runtime (dynamically), eliminating the need to declare them.
  • Object-oriented: Provides support for OOP concepts such as classes, inheritance, and polymorphism, resulting in modular, reusable, and maintainable code.
  • Extensive Libraries: Comes with a vast set of libraries and modules for faster development.
  • Open-Source: Free to use with a vast community contributing to its growth.
  • High Demand: Popular in industries like AI, software development, finance, and cloud computing.

Python Version List

Python Version Release Date
Python 1.0 January 1994
Python 2.0 October 2000
Python 2.7 July 2010 (final 2.x release)
Python 3.0 December 2008
Python 3.6 December 2016
Python 3.7 June 2018
Python 3.8 October 2019
Python 3.9 October 2020
Python 3.10 October 2021
Python 3.11 October 2022
Python 3.12 October 2023
Python 3.13 October 2024

 

Usage of Python

Python offers a variety of libraries and frameworks and is a high-level, open-source programming language. Python has gained popularity because of its simplicity, easy syntax, and user-friendly environment. The usage of Python is as follows:

 

Technology Python Libraries
Desktop Applications Tkinter, PyQt, Kivy, wxPython
Web Applications Django, Flask, FastAPI, Pyramid
Data Science NumPy, Pandas, SciPy, Matplotlib, Seaborn
Artificial Intelligence TensorFlow, Keras, PyTorch, OpenAI Gym, Hugging Face Transformers
Machine Learning Scikit-learn, XGBoost, LightGBM, CatBoost, Statsmodels
Scientific Computing SciPy, SymPy, NumPy, Matplotlib, Pandas
Robotics ROS (Robot Operating System), Pypot, PyRobot, VEX Robotics
Internet of Things (IoT) Raspberry Pi libraries, MicroPython, CircuitPython
Gaming Pygame, Panda3D, Arcade, PyKyra
Mobile Apps Kivy, BeeWare, PyQt, PySide
Data Analysis and Preprocessing Pandas, NumPy, SciPy, Dask, Vaex, OpenCV

 

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The Future of Python

Python continues to evolve daily, with Python 3.x getting frequent updates. The developer community concentrates on enhancing performance and making the language more efficient while preserving its user-friendly nature.

Python is widely utilized in machine learning, AI, and data science, securing a promising future. Its significance in these fast-evolving domains guarantees its relevance for many years to come.

Python is increasingly being introduced as the primary programming language in schools and universities worldwide, reinforcing its role in the tech industry.

Conclusion

Python is a very powerful and easy-to-use language, and many people have adopted it as their first choice for various things. It is very easy to learn and has many cool features. Time by time, with the new releases, it has become better, or we can say it has evolved a lot. If you want to learn more about it, you can enroll in Intellipaat’s Python Certification Course and give your career a right rift.

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About the Author

Technical Research Analyst - Full Stack Development

Kislay is a Technical Research Analyst and Full Stack Developer with expertise in crafting Mobile applications from inception to deployment. Proficient in Android development, IOS development, HTML, CSS, JavaScript, React, Angular, MySQL, and MongoDB, he’s committed to enhancing user experiences through intuitive websites and advanced mobile applications.