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.