The Python programming language has become one of the most popular tools for web and software development over the past two decades. Major companies like Amazon, Facebook, YouTube, Google, and more have used this versatile language to build their flagship applications.
Python’s adoption by major tech companies is a major reason why the language is now the fastest-growing programming language in the world. The future looks bright for the language as well. Python software development continues to be used extensively by corporations outside of big tech and alike to create complex web applications, data science programs, Hollywood special effects, and more.
In brief, Python is used to:
- Quickly develop advanced 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 type of projects that can be developed using the language.
Python In Web Development
Python is valued by a wide range of software developers because of its versatility, simplicity, and gentle learning curve. Engineers also love the fact that they can use the same programming language for both web development and databases.
Popular Python frameworks like Django are frequently used for web application development. That’s because they come with built-in features that enable developers to build the type of chatbots, database applications, and advanced search engines that will define the website of the future.
In addition, Django is search engine friendly and reduces the page loading time for websites. Those are just some of the reasons why the framework is frequently referred to as “the web framework for perfectionists with deadlines.”
DropBox is a prominent example of a web application built with 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 application and to sync files across multiple devices.
Python In Data Science
Python is the preferred language for data science due to the same reasons we’ve mentioned before: its syntax is easy to read and write, it has powerful frameworks and libraries, and it has a massive community behind it. But that’s just the beginning of it.
For starters, you should know that data scientists need to work with massive amounts of information on a day to day basis. Making meaningful connections between complex datasets like this requires serious 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 inserted into machine learning clusters for computation. This means that data scientists can incorporate statistical code into production databases or integrate data with web applications at their convenience.
At the end of the day, Python is the preferred language for data science applications because, in this field, most professionals prefer not to be dragged by complicated programming requirements. With Python, data scientists can run prototypes and deploy programs rapidly without compromising quality in any way.
Python In Film
One of the most surprising yet successful applications of Python is in the film industry. Python-built software is used extensively in Hollywood and by foreign film industries to create special effects and computer-generated characters.
The George Lucas-founded Industrial Light and Magic (ILM) is a special effects company that has worked on the Star Wars, Indiana Jones, Star Trek, and the Harry Potter series, in addition to hundreds of other films.
The company was the first to embrace special effects and the first company to create a computer-generated character, which debuted in Young Sherlock Holmes in 1985.
ILM began using Python to create all of their special effects software after the successful release of The Phantom Menace in 1999. The company continues to use Python for the bulk of their Star Wars and Harry Potter special effects work to this day.
So, What Are Some Other Things That Use Python?
This is only 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 a huge amount of data. Popular websites like Dropbox, The Washington Post, and Instagram were built with Python.
Powerful Machine Learning Software
Major corporations and Python development companies are at the forefront of the data science movement. Businesses like Amazon, Google, and Tesla are using Python to develop AI-driven software of the future.
Enterprise Applications
Python simplifies content management, system administration, and database interaction. Many enterprises use Python applications to reveal hidden insights from 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 unleash the full potential of your backend infrastructure and create 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 Apps
Also known as command-line applications, Console Apps are a core element of any computer ecosystem. Python’s REPL (Read, Eval, Print, & Loop) opens a world of possibilities for console app development.
Desktop GUIs
Custom GUIs enhance the interactions between users and their devices. It is very common to use Python when developing GUI desktop applications due to the wide range of tools it offers, which help create highly functional solutions.
What Are the Benefits of Python Applications?
Here’s why so many businesses use Python to develop their custom software solutions.
It’s Easy to Read and Write
Python’s simple syntax makes the 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 lends itself to quicker 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 app development, Mobile apps, Chatbots, Games, Console apps, Desktop GUIs, Enterprise Applications, Artificial Intelligence, Machine Learning, and much more.
It Has Tons of Support and Resources
Python is extra popular in software development and has the support of a worldwide community and extensive resources. Businesses can leverage its many libraries and frameworks, like Django, Dash, Falcon, and Flask, which allow for quicker and easier software development.
It’s Object-Oriented
As an object-oriented language, in which objects include separate sets of data, have individual characteristics and properties and interact with one another, Python is an especially valuable programming language to have in your toolbox.
It’s Constantly Evolving
After decades in the software development industry, Python has gone through major changes and modifications that continuously improve security, debugging, and many other features that engineers use every day.
If you enjoyed this article, check out one of our other Python articles.
