The 22nd edition of the State of the Developer Nation report, which includes trends from a survey conducted in Q1 2022, ranks Python as the second most widely used and accepted programming language, after JavaScript, with 15.7 million users. This represents an increase of 4.4 million users from 11.3 million in Q3 2021, the most significant increase among the different languages sampled in the report. This growth is due to the rise of data science (DS) and machine learning (ML), as more than 70% of DS and ML developers report using Python. In addition to DS and ML, Python is used in other use cases that we have detailed here.
What is Python
First released in the early 1990s, Python is a general-purpose, high-level programming language known for its readability. This language has been used to build popular websites and products including the backend of Instagram, Google, Spotify, Netflix, and more. But, of course, language is more than just the preservation of products whose user bases exceed several hundred million users; it can be deployed to create simple tools.
For example, you can use Python and web scraping libraries, such as the Python Requests library and Beautiful Soup, to create an internal web scraper. And that’s just one example of the myriad uses of Python.
Features of Python Programming Language
Python has the following features:
- Easy to read and code
Python uses a syntax that has been compared to the English language. This feature makes it easy to read and write code. In fact, you can easily tell what function the code is designed to do by just looking at the lines of code. It’s no surprise that Python is the third most popular language among learners. On the other hand, C++ is the hardest language to learn.
- Easy to debug
Python makes it easy to identify and correct errors and mistakes, particularly once you can understand how to interpret the language’s error traces.
- Open source and free
The Python programming language is freely available for use and download from the official website.
- Object-oriented language
As an object-oriented programming language, Python uses the concept of objects, which contain fields (data) and behavior/procedures that can modify the data to represent elements of a problem.
- High-level language
Python is a high-level language. This means it is not tied to a system architecture such as x86 or ARM. As such, you can write Python code as well as run it on any device or computer.
- Extensive developer community
Python has a large developer community with more than 15 million users worldwide. This community emphasizes the fact that the language has matured. These users may have contributed to forums or writing resources to help learners understand the language or debug their code. In contrast, Go or Golang, which was launched to the public in 2012, is still in development and does not yet have a large developer community.
- Large standard library
By some accounts, there are more than 137,000 Python libraries. The standard library contains functions, constants, some language definitions, and commonly used commands that are designed to perform a specific function. For example, the Python Request Library contains commands and functions that send HTTP/HTTPS requests.
- Support for multiprocessing
Python has a multiprocessing package that, when included in a code and executed, prompts the system to run multiple processes in parallel. Multiprocessing speeds up processes by utilizing multiple processor cores or threads.
- Extensible and integrated language
You can write Python code in C or C++ language. In fact, you can use SWIG to build a natural Python interface for your C or C++ code. In addition, you can easily integrate Python with these two languages.
- Graphical User Interface (GUI) support
Python modules such as Tk in Python, wxPython, PyQt5, and PyQt4 enable you to create GUI-based apps with Python.
- Portability
You can run Python code on any platform or operating system. For example, if you wrote a script on a Windows computer, you could run it on computers that use other operating systems like macOS and Linux.
Uses of Python
Python is used in the following instances:
1. It is used in web development to create server-side web applications (backend)
2. Python connects database systems and can automatically read and modify files
3. It can be used for production-ready software development and deployment as well as rapid prototyping (system scripting)
4. This programming language can be used to create a machine learning and artificial intelligence solutions
5. It can be used to handle big data and execute complex mathematical calculations
6. Python can be used to create web scrapers
To Read More IT Related Articles Click Here
