When asked about Python, Jack Jansen said “Python is a truly wonderful language. When somebody comes up with a good idea it takes about 1 minute and five lines to program something that almost does what you want. Then it takes only an hour to extend the script to 300 lines, after which it still does almost what you want.
Ever since its creation in 1991 by Guido Van Rossum, Python has evolved and adapted to new technologies. Today, it is one of the most popular programming languages in both the coding and Data Science communities.
What is Python?
Python is an open-source programming language that runs on the DRY (Don’t Repeat Yourself) principle which enhances the code’s readability. It is a high-level language that supports different programming paradigms such as object-oriented programming, functional programming, imperative programming, and procedural programming.
Python is fast and easy to learn, read, and implement. It can support large programs and dynamic type checking. Furthermore, Python offers high-level dynamic data types and can be integrated with Java, C, and C++ programming code.
According to a survey by JetBrains, 85% of the survey respondents used Python as their main programming language in 2020, among which 54% of them used Python for both work and personal use.
Real-world applications of Python
Surpassing longstanding Java and JavaScript in popularity, Python remained the most popular programming language in 2020, according to GitHub and Google Trends. Python’s different uses are the reason behind its popularity. Let’s go through some of the important python real-world applications:
Game development
Python is amongst the most used programming languages for game development. With its extensive library, developers find it easy to develop interactive games. PySoy and PyGame are the most used python libraries for game development.
Popular games such as Vega Strike, Civilization-IV, Battlefield 2, World of Tanks, Frets on Fire, among others are developed using Python programming language.
Besides game development, Python is also used as a scripting language by many game engines and for developing tools to simplify specific actions such as level design.
Web development
Python is the most widely used programming language for web development. It comes with multiple web development frameworks like Pyramid, Django, and Flask which are packed with standard libraries that allow easy protocol integration and less development time.
Python web frameworks provide high security, scalability, and flexibility. Furthermore, it comes with out-of-the-box support for various web protocols such as HTTP, SMTP, XML, JSON, FTP, IMAP, and POP.
Artificial intelligence and machine learning
Artificial Intelligence and Machine Learning have gained immense popularity over time. Both of their applications require a language that is stable, secure, flexible, and is equipped with tools that can handle various unique requirements of projects. Python has all the above qualities thereby, it is one of the most favored languages of Data Science professionals.
Some of the most used Python libraries for AI and ML are:
- Pandas
- Keras
- TensorFlow
- Theano
- Scikit-learn
- Pytorch
Software development
Python is capable of developing complex applications that involve both scientific and numeric computing, which makes it the most preferred programming language for building control, testing, and managing applications.
Desktop GUI
For developing a Desktop GUI, a programming language needs to be fast, easy to learn, scalable, and open-sourced. Python owns all the above features, along with toolkits like PyQt, PyGUI, and WxPython which are widely used for building high-quality GUIs efficiently.
Data analytics
Now, we live in a world run by data. Every industry collects a great amount of data every day which requires the hiring of data analysts preferably with Python knowledge.
Python is a popular choice for data analysis-related work. Its powerful libraries, such as NumPy and Pandas, make data cleaning and analysis tasks relatively straightforward, even when working with massive datasets.
There are also Python libraries that support a wide variety of other data analytics tasks, from scraping the web using Beautiful Soup to visualizing data with Matplotlib.
Conclusion
In the last few years, Python applications in the real world have increased incredibly, proving the language highly capable of handling all kinds of development requirements.
Let’s go through some of the world-renowned companies that are using Python:
- Google: Uses Python for a variety of system building, code evaluation tools, and system administration tools.
- Youtube: Uses Python for different purposes such as view video, control templates for websites, administer video, access to canonical data, and many more.
- Instagram: built entirely using the Django framework of Python.
- Facebook: Uses Python for infrastructure.
- Nasa: Uses Python for research and scientific purposes.
- Netflix: Uses Python for server-side data analysis and for a wide variety of back-end apps that help keep the massive streaming service online.
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