Explore Python's versatile applications, from web development to data analysis. Unlock the power of Python for your projects today!
The Python programming language has become one of the most popular tools for web and software development over the past two decades. Big companies like Amazon, Facebook, YouTube, Google and others have used this versatile language to build their flagship applications.
The adoption of Python by major technology companies is one of the main reasons why the language is now the fastest growing programming language in the world. The future also looks bright for the language. Python software development continues to be used extensively by companies outside of big tech and the like to create complex web applications, data science programs, Hollywood special effects, and more.
In short, Python is used to:
- Quickly develop powerful web applications.
- Build cutting-edge data science and machine learning software.
- Create special effects for Hollywood films.
Read on to learn more about the state of Python and the types of projects that can be developed using the language.
Python in web development
Python is valued by a wide range of software developers due to its versatility, simplicity, and smooth learning curve. Engineers also love the fact that they can use the same programming language for web development and databases.
Popular Python frameworks like Django are often used for web application development. That's because they come with built-in features that allow developers to build the kind of chatbots, database apps, and advanced search engines that will define the website of the future.
Additionally, Django is search engine friendly and reduces the page loading time of websites. These are just a few of the reasons why the framework is often called “ the web framework for perfectionists with deadlines .”
Dropbox is a prominent example of a web application developed using Python. The popular file-sharing service used Django to build the backend. The development team chose the language because it allowed them to integrate file sharing into the app and sync files across multiple devices.
Python in data science
Python is the preferred language for data science for the same reasons we mentioned before: its syntax is easy to read and write, it has powerful frameworks and libraries, and a huge community behind it. But this is just the beginning.
To begin with, you should know that data scientists have to work with large amounts of information on a daily basis. Making meaningful connections between complex data sets like this requires extensive knowledge and computational power.
As a general-purpose programming language, Python allows data scientists to efficiently and intelligently manage data outputs, which can later be fed into machine learning clusters for computation. This means data scientists can embed statistical code into production databases or integrate data with web applications at their convenience.
Ultimately, Python is the language of choice for data science applications because, in this field, most professionals prefer not to be dragged down by complicated programming requirements. With Python, data scientists can quickly prototype and deploy programs without compromising quality in any way.
Python in the film
One of the most surprising yet successful applications of Python is in the film industry. Software developed in Python is widely used in Hollywood and foreign film industries to create special effects and computer-generated characters.
Industrial Light and Magic (ILM), founded by George Lucas, is a special effects company that worked on the Star Wars, Indiana Jones, Star Trek and Harry Potter series, as well as hundreds of other films.
The company was the first to adopt special effects and create a computer-generated character, who debuted in Young Sherlock Holmes in 1985.
ILM began using Python to create all of its special effects software after the successful release of The Phantom Menace in 1999. The company continues to use Python for most of its Star Wars and Harry Potter special effects works until today.
So what are some other things that use Python?
This is just the tip of the iceberg of Python development services.
Advanced web applications
Popular Python frameworks like Django are used to build complex web applications that process huge amounts of data. Popular websites like Dropbox, The Washington Post, and Instagram were built with Python.
Powerful Machine Learning Software
Large corporations and Python development companies are at the forefront of the data science movement. Companies like Amazon, Google, and Tesla are using Python to develop AI-based software of the future.
Enterprise Applications
Python simplifies content management, system administration, and database interaction. Many companies use Python applications to reveal hidden insights into their operations, customers, and industries.
Backend IT infrastructures
ERP, CRM, CMS, custom APIs, you name it: Python can be used to build any backend system. With Python, you will unlock the full potential of your backend infrastructure and build industry-leading applications on any platform
Game development
Python has been in the gaming industry for years and continues to be a major player in game development. Thanks to frameworks like PyGame, you can now write entire video games in Python.
Console Applications
Also known as command-line applications, console applications are a central element of any computer ecosystem. Python's REPL (Read, Eval, Print, & Loop) opens up a world of possibilities for developing console applications.
Desktop GUIs
Custom GUIs improve interactions between users and their devices. It is very common to use Python in developing desktop GUI applications due to the wide range of tools it offers, which help you create highly functional solutions.
What are the benefits of Python applications?
See why so many companies use Python to develop their custom software solutions.
It's easy to read and write
Python's simple syntax makes code easy to read and write. Because of this, it takes less time for Python developers to build products and eliminates many complexities in the development cycle. This also allows for faster and easier product updates.
It's an all-terrain solution
Python is a general-purpose language used to create a multitude of products such as web application development, mobile applications, chatbots, games, console applications, desktop GUIs, enterprise applications, artificial intelligence, machine learning, and much more.
Has tons of support and resources
Python is extremely popular in software development and is supported by a worldwide community and extensive resources. Businesses can leverage its diverse libraries and frameworks, such as Django, Dash, Falcon, and Flask, which enable faster and easier software development.
It is Object Oriented
As an object-oriented language in which objects include separate sets of data, have individual characteristics and properties, and interact with each other, Python is an especially valuable programming language to have in your toolbox.
It is constantly evolving
After decades in the software development industry, Python has undergone major changes and modifications that continually improve security, debugging, and many other features that engineers use every day.
If you liked this article, check out one of our other Python articles.
- Python development trends
- Python for web development
- Is Python the language of the future?
- Comprehensive guide to Python list objects with examples and built-in functions
- Which language is better, Python or Ruby?
Source: BairesDev
