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Python, a high-level versatile programming language, was created by Guido van Rossum in 1991. Its simplicity and readability set it apart, making it an ideal choice for beginners and advanced users alike. Python’s popularity is further bolstered by its extensive use in diverse fields such as data science, Artificial Intelligence, Machine Learning, and web development.
Python is a very popular programming language. Let’s explore why Python is such a popular programming language.
Python is a general-purpose and widely used programming language. It was initially developed by Guido van Rossum in 1991 and further developed by the Python Software Foundation. Guido van Rossum started working in December 1989 at Centrum Wiskunde & Informatica (CWI) in the Netherlands. He started working on this project as a Hobby because he was looking for an interesting project for Christmas. This project was inspired by ABC, a programming language he had worked on previously. The first version released of Python was Python 0.90 in February 1991. The first version of the Python project includes exception handling and functions.
Python is an interpreted programming language. It means python programming language converts source code into a bytecode.
For example, Write a Python program in the hello.py file. Then, type the following command in your terminal or command prompt: “python hello.py.” This command runs the Python interpreter, which converts the hello.py file into the bytecode that our computer runs.
In this section, we will write a simple Python program that prints the numbers 1 to 10 using a for loop.
The demonstration of the following program is below.
In this section, we will examine the benefits of the Python programming language. It has many features, some of which are the most popular.
Python is a versatile programming language. This means that it can be used in various fields, such as web development, data science, artificial intelligence, machine learning, task automation, etc. The most commonly used Python web development, task automation,
Also Read: Why Python is Good for Artificial Intelligence and Machine Learning
Some popular frameworks exist in the Python language. Here, I am discussing some common frameworks and libraries.
There are some common applications of the Python programming language:
The following table gives you a comparison of Python language with other programming languages, C, C++, and Java, in table format.
Features | Python | C | C++ | Java |
Type | Interpreted | Compiled | Compiled | Compiled |
Program | OOP language | Procedural structured | OOP language | OOP Language |
Syntax | Simple | Complex | Complex | Complex |
Popularity | High | High | High | High |
Use Cases | In web development, Artificial Intelligence | System programming, embedded systems, game development | System Programming, game development, high performance | Large-scale applications, enterprise software |
Frameworks/ Libraries | Django, Flask, FAST API | Standard Library | Standard Library, Boost | Spring, Hibernate |
Community | Active Community | Active Community | Active Community | Active Community |
In this section, we will see the difference between python2 and python3. The following table gives you some common differences between python2 and python3.
Feature | Python 2 | Python 3 |
Print Statement Syntax | In Python 2, we can use the print function without the parenthesis function. | In python 3, the print() function has parenthesis before using this function. |
Unicode Support | Python 2 required additional modules for Unicode | Python 3 provides better support as compared to Python 2 for Unicode support |
Backward Compatibility | You have to modify the Python 2 code for running in Python 3 | Python 3 is not backwards compatible with the Python 2 version | Division Result | In Python 2, when we divide two numbers, It will return an integer | In Python 3, we will get the float number if we divide two numbers in Python 3
Pros | Cons | |
Python is a very beginner-friendly language. It means anyone can learn Python easily. | Python is an interpreted programming language. It means Python is very slow compared to other compiled languages. | |
Python has a big bunch of libraries and frameworks. That makes Python a robust programming language | Python is less secure because It is a dynamic programming language as compared to other programming languages. | We cannot create mobile apps using the Python Language. |
Python is a very scalable language. It means, It can handle large data programs. | Python is a high-memory consumption language so it is not good for highly intensive tasks which require high memory. |
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