What Is Python Used For?

Getting Familiar With Python Development

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.

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Python In Web Development

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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.

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Python In Film

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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. 


Other FAQs on Python Software Development

If you’ve come this far, Python Development is probably the best match for you!

Python is a high-level, interpreted, and object-oriented programming language that’s ideal for all types of software solutions. The language’s emphasis on syntax readability, program modularity, and code reusability highly increases the speed of development while reducing the cost of maintenance.

Python is mainly used in web development, artificial intelligence, and data science. However, it can be used for almost anything else in software development, as it is a general-purpose programming language.

You can learn more at the language’s official website, https://www.python.org/

Python covers a massive range of applications and solutions, which would be impossible to explore on this page. Here are some other common Python development services that might interest you:

  • Custom automation solutions and automated deployments. 
  • Custom database development on MySQL, Hadoop, Oracle, MS SQL, MariaDB, MongoDB, PostgreSQL, and other Non-SQL databases (read this article to learn more about popular databases)
  • Core Python programming.
  • Migration from legacy technologies to the latest version of Python
  • Integration with select technologies (such as JQuery, Selenium, Plone, Zope, ColdFusion, and many more)
  • Implementation of Python Data Analysis tools like NumPy, SciPy, Matplotlib, and Pandas. 
  • Continuous integration of databases and data-collection mechanisms via computing libraries like Fabric, Pika, Gdata, Requests, OpenCV, etc.
  • Custom application development via select technologies, libraries, or frameworks like Pyramid, Twisted, Nagare, Pylons, Tornado, Web2py, RQ, Celery, Gevent, Gunicorn, Apache, and Nginx.
  • And much, much more.

Contact us to learn more!

As many business leaders and software engineers know, Google is one of the biggest names in Python software development. In fact, Python is one of the few official languages at Google, along with other popular languages like C++, Java, and Javascript.  And here’s an interesting fact: Python’s designer and creator, Guido van Rossum, was actually employed at Google for quite some time.

Google uses Python mainly for developing custom solutions for their internal systems and backend infrastructure. This applies to many areas of Google, such as:

  • Google’s core search algorithms.
  • Custom libraries, frameworks, and other open source technologies.
  • Custom APIs like Google Data Python Client LibraryGoogle APIs Client Library for Python and Google AdWords API Python Client Library.
  • All of YouTubes’s backend infrastructure (which by the way, was previously built on PHP).
  • A lot of Machine Learning and robotics projects.
  • Automation solutions, including system automation, test automation, deployment automation, etc.
  • Data analysis, Internal websites, and Code review tools.
  • … And much, much more.

This is a very common question: “Is programming language A better than programming language B?” And the answer is always the same: It depends!

Python and C++ are two languages that can do practically anything but are used in different contexts.  Their main difference is that C++ is a low-level language (meaning developers have to write code that’s closer to machine language) and Python is a high-level language (meaning that Python code is English-like). 

This simple difference entails many consequences. Many years ago, businesses preferred C++ because, as a low-level language, it was easier for computers to understand it and therefore C++ programs ran faster. Today, computers are so fast and powerful that this is just not a factor anymore.

Python is used much, much more than C++ today because of this reason. In general terms, C++ is more commonly used for applications designed to run on low-power systems.

Which one is better for you? Well, it’s probably Python, but if you’re still not convinced, we also work with the best C++  developers in the region. Send us a message and we will take a look at your project requirements to determine the best tech stack for your company.

We are always on the look for top talent to add to our team! Check out our Careers Page to learn more about our hiring process or find your dream job at https://jobs.bairesdev.com/

We’ll be happy to hear from you!

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