Top Apps and Companies That Use Python – and 7 Reasons You Should Too
Python is a programming language that first appeared around February 1990, 30 years ago, and was designed by a Dutch programmer, Guido Van Rossum.
It has the following attributes:
High level
General-purpose
High memory management
Easy syntax
Dynamic semantics
Object-oriented
Let’s decode them one by one to understand why Python is such a popular and most sought-after programming language compared to all the other programming languages out there.
It is a high-level language because Python’s syntax is very close to the English language, can be easily read and understood by humans, and is less readable to machines.
It is general-purpose, meaning the Python programming language is not just focused on software developers but can be used across the board, from accountants to scientists, data analysts, mathematicians, and even young kids.
Higher memory management means automatic memory allocation and deallocation using an in-built garbage collector, where obsolete and unreferenced objects are allocated lesser memory or completely deleted when not used.
Its easy syntax and attention to whitespace make it an easy language to learn, code, and read for beginners, and a few lines of code are enough to get the program up and running.
Unlike C++, C, or Java, Python doesn’t need strict variable declarations while assigning values to them since it can automatically identify the type of variable during runtime; this unique feature is called dynamic semantics.
Object-oriented language means the Python program is easy to understand, efficient, reusable, with safe and secure data using data abstraction.
In GitHub’s “The State of the Octoverse Report,” released in 2021, Python ranked as the second most popular programming language.
Owing to Python’s popularity, several websites and applications have adopted them for dynamic web and mobile app development and various other features.
Instagram, an image-sharing platform with around 1.386 billion active users, uses Python as their programming language and is deployed on Django, a high-level Python web framework that helps develop secure and easily maintainable websites. Recently, Instagram has adopted Python 3.
With such a large user base, the main priority for Instagram was efficiency, simplicity, and practicality, and the Django framework helped them maximize their service efficiency with ease.
Google needs no introduction and has been using Python since the beginning, where they inculcated a policy of “Python wherever we can and C++ wherever we must.“
Python is one of Google’s side server languages, including C++, Java, and Go. Another interesting fact that you must know is that Python’s designer, Guido Van Rossum, himself worked in Google from 2005 to 2012; now you know how important Python is to Google!
Python is used in Google App Engine, YouTube, Google AdWords, and Google even uses Python for its search engines, machine learning, artificial intelligence, and robotics projects.
Its flexibility, excellent performance, scalability, and rapid development features are why Python is extensively used at Google.
Dropbox is a cloud-based file hosting service to store all your photos, videos, documents, and files, and its entire tech stack was written on Python.
In 2012, Dropbox convinced Rossum, the inventor of Python, to join Dropbox, who then guided them in working there as an engineer and helped them allocate datastores. It can be shared with the members of the Dropbox community.
Since a lot of Dropbox’s libraries aren’t open-source, it is difficult to analyze their level of dependence on Python, but it is noted from many of the interviews with their engineers that a majority of their code on the server-side is written in Python.
Reddit is home to over 100,000 communities worldwide, and in 2021, Redditors created around 366 million posts, a 19% increase from the previous year. The software that supports Reddit is Python.
Originally coded in Lisp, its founders recoded the site in Python six months after Reddit’s launch, owing to development flexibility, ease of use, readability, and the wide range of libraries available.
Web.py, the web framework that originally powered the site, is now an open-source project.
If the most popular websites and applications use Python for web development, it’s a no-brainer that you can, too!
The Python frameworks are like efficient toolboxes that can speed up the web development process.
They are a bundle of packages and modules consisting of standardized codes with specific functionalities such as accessing the database, URL routing, HTTP requests, responses, etc. This makes web development easy and fast.
Web development is easier due to popular frameworks such as Django, Pyramid, Flask, Turbogears, and Web2Py.
Python frameworks will take care of every low-level detail, so a developer will not waste time decoding micro details and figuring out how they work.
These frameworks will handle almost anything that comes their way, making it the most popular web and app development language.
The frameworks inherently prevent the misuse of web applications, and the developers do not have to worry about the security of the software development.
Python’s good framework saves web and app developers a lot of time and energy because the website can quickly scale with any new additions, and this scalability is available to the developers from the start.
Thus, Python provides a secure, efficient, and scalable system for users.
Since Python is an open-source programming language, there is a massive community of developers who might have already encountered the problems you are at, along with a solution for it.
Such a community that is open to everyone contributing and encouraging Python databases‘ growth and solutions to any glitches or bugs can be found right away with a single click.
Python is the go-to programming language when creating applications that require AI and Machine Learning integrations.
Since it is a high-level coding language, complex AI and Machine Learning tasks can be performed at ease, and data learning and data processing are easier with the ready-made packages that are compiled within Python.
As discussed at the start of the article, it is a programming language that is easy to read and write. They have made away with complex special characters and brackets that signify the programs’ beginning and end, and have replaced them with whitespaces.
Thus, making it a developer-friendly language for faster coding and web development.
Website and application development are super-fast using Python due to the available libraries, frameworks, allowing the developers to concentrate on development rather than focusing on minute details that a python framework can easily solve.
Added to this, the community of developers who are always there to help will help you overcome most of the roadblocks that occur with web and app development, thus making Python a time saver for small and big projects alike.
Get expert guidance on choosing the right Python frameworks and architecture for secure, scalable, and future-ready applications.
Get a Free Python ConsultationThe powerful libraries, frameworks, and easy integration with AI and Machine Learning allow for rapid deployment of websites and applications, as well as secure and maintainable websites and applications.
Python is the language of choice for most top companies and applications due to its ease of use, flexibility, and developer friendliness, and it is unquestionably the best choice if you are planning to develop a website or an application.
Q: Which are the top companies that use Python for their applications?
A: The top companies that use Python include:
Dropbox
Moreover, Python offers strong frameworks, like Flask and Django, to find better flexibility and scalability in powerful app development.
Q: Why do developers prefer Python for app development?
A: Developers prefer Python for app development because of its easy syntax, strong frameworks, and outstanding support for machine learning and AI.
Q: Is Python good for building scalable business applications?
A: Yes, Python is good for building scalable business applications, allowing companies to handle millions of users with ease.
Q: How does Python support AI and machine learning applications?
A: Python has the TensorFlow, PyTorch, and scikit-learn libraries that help in making it a go-to language for AI and machine learning applications.
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