A robust programming language, Python, was crafted in 1991 by Guido van Rossum. Not long ago, it became one of the widely-used programming languages among both beginners and expert developers worldwide.
Python is a general-purpose language widely used for deep learning, data science, big data, automation, software testing, and more. It has been accepted in science and technology, education, numerical calculation, and more.
But, do the developers find it suitable for a mobile app or website development? We will discuss this ahead.
This article will name some top websites and apps developed using Python, know a few reasons why it’s the most preferred language, its use cases, and much more. First, let’s recap what this programming language is, its stats, etc., to clarify things.
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- What is Python?
- Python Statistics – Facts & Figures
- Top Websites and Mobile Apps Built With Python Language
- (1) Versatility
- (2) Large Community/Libraries
- (3) Easy-to-Use
- (4) Works Exceptionally With CMS
- (5) Zero Cost
- (6) Simplicity
- (1) Machine Learning
- (2) Artificial Intelligence
- (3) Data Science & Analysis
- (4) Natural Language Processing
- (5) Image & Voice Processing
- (6) Internet of Things
- (7) Spider bot/Web Crawlers
- (8) Software Testing and Prototyping
- (9) Automation or Scripting
- (1) Audio Video Streaming Apps
- (2) Gaming Application
- (3) Blockchain Application
- (4) Enterprise Application
- (5) eCommerce Application
- (6) Web Application
What is Python?
Since 2012, Python has become popular and is still catching up. Millions of websites, apps, and software development projects are built using this programming language, and even MNCs are opting for this programming language for similar usage. It’s used to develop software and websites, automate tasks, and perform data analysis. It’s a general-purpose language that applies across various app domains but lacks specialized features for a particular domain.
As Python is free and open-source, developers don’t need to pay to use it. It includes various frameworks and tools, like Flask, Django, and more. It is compatible with different platforms. The community of developers is constantly growing. Its beginner-friendliness and versatility are an add-on to its popularity.
In fact, in 2021, as per a survey by RedMonk, Python was acknowledged as the second-most popular programming language.
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Python Statistics – Facts & Figures
- Among developers, Python is the most preferred programming language.
- About 48.07% of developers use this programming language.
- In 2021, on the DevSkiller Talent Score, the Python skill growth rate was around 154%.
- This programming language got its name after Monty Python’s Flying Circus.
- The majority of users using this programming language are aged between 21 to 29.
- Annually, a developer can earn about $118.
- In 2015, Python was more-recognized than French.
- One of the official languages that Google uses is Python.
- Python is quite similar to the English language.
- In it’s package repository, there exist approximately 147,000 packages.
- The brand which crafted the Star Wars effects, namely ILM, uses Python.
- A survey depicts that about 56% of Python developers work on projects. But, 40% among them work as a team and just 4% work as an external trainer or consultant.
- Out of five, four developers assert that this programming language is their chief language.
- On the internet, around 1.4% of all sites use Python as a server-side programming language.
- For Windows, Python is claimed to be downloaded approximately 23 million times.
Top Websites and Mobile Apps Built With Python Language
Let’s have a look at the top websites and apps developed using Python:
The world’s famous internet television network and top streaming website, Netflix, serves 40 countries and provides a mode of entertainment to about 33+ million members who enjoy one+ billion hours of TV shows, movies, and more, including Netflix’s original series.
Highlighting the words written on the Netflix technology blog, Netflix developers are free to pick the best-suited technologies to get their tasks done. And an increasing number of developers choose Python because of its standard library, expressive syntax, huge developer community, and 3rd-party libraries that assist developers in solving various issues.
A digital music, video, and podcast service, Spotify offers access to millions of songs and other content from worldwide creators. Spotify permits instant listening to specific albums and tracks without delay in buffering.
Launched in 2008, Spotify has reached 75+ million paid subscribers so far. Spotify’s website is developed using WordPress, but its app is crafted using Python.
Spotify, in its codebase, uses Python. The company’s target is speed, so it chose this programming language because of its readability and simplicity. The Python asynchronous frameworks meet the requirements of IO-bound services, and Spotify has earned the top music streaming service tag worldwide.
YouTube, Google’s sister concern, was chiefly written in Python. It provides various libraries and features that offer an interactive experience to the users. It’s coded in such a way that it eases the process of uploading, downloading, and sharing videos. Nowadays, Youtube is the globe’s leader in online video streaming.
A widely-used search engine, Google clutches about 75% and more market share. While explaining how Google started using Python in its tech stack, an expert Google engineer, Alex Marelli, said that, in the very initial days, Googlers made a perfect engineering decision, “Python where we can, and C++ where we must.”
Google is developed using Python, whose complementary framework permits developers to convert the traffic and meet the search needs for every level. Google runs smoothly with no issues in the development process.
Dropbox is the world’s biggest cloud storage solution provider, which uses Python web programming in its tech stack. It’s a storehouse for all your docs, photos, files, and videos.
Going a bit deeper, in 2012, Dropbox hired Guido van Rossum, a former software engineer at Google who was the creator of Python. Earlier, the Head of Server Engineering at Dropbox, Rajiv Eranki, said, “It is used for everything here.” According to the sources, after serving Dropbox for years, Van Rossum is a Distinguished Engineer at Microsoft.
Instagram is the globe’s most extensive online photo and video-sharing social networking service and uses Python at its back-end. It’s a simple, user-friendly, widely logical, and clean app.
The engineering team of Instagram said, “Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python.”
An image-sharing and social media service, Pinterest is a social bookmarking website that uses Python as it assists in scaling. The brand uses various 3rd party Python libraries for configuration and communication management.
The co-founder of Pinterest, Paul Sciarra, said, “We use Python + heavily-modified Django at the application layer. Tornado and (very selectively) node.js as web servers.”
The ride-sharing app Uber was developed using it. Their main tech stack includes Python, Java, Go, and NodeJS.
In fact, for making Uber-like apps, developers consider the frameworks, like Flask and Django. Moreover, the brand uses just two primary programming languages in its stack.
Uber Engineers added, ” We started with two main languages: Node.js for the Marketplace team and Python for everyone else. These first languages still power most services running at Uber today.”
A question-and-answer-based platform, Quora uses Python web development for management. The founder of this site needed a rapid programming language, so they chose it.
Today, this programming language is acknowledged as a base for Quora’s complete development.
Commonly known as the Internet’s front page, Reddit is a social news aggregator platform. The brand appreciates this programming language for the extensive libraries it has. The code is readable, simple, and expressive, which makes it simple for beginners to start coding.
Today, Reddit has 330+ million active users.
At Pycon, in an interview, co-founders of Reddit, Steve Huffman, and Alexis Ohanian said, “The biggest thing that has kept us… well, there are two huge things. One is the libraries. The other thing that keeps us on it, and this is the major thing, is how readable and writable it is. When we hire new employees … I don’t think we’ve yet hired an employee who knew this programming language. I just say, “everything you write needs to be in Python.” Just so I can read it. And it’s awesome because I can see from across the room, looking at their screen, whether their code is good or bad. Because good code has a very obvious structure. And that makes my life so much easier.”
Why Python is So Popular Language
According to a software quality company that measures programming languages’ popularity, Python is acclaimed as the third most popular programming language globally, after Java and C.
Let’s discuss the reasons behind the popularity of Python:
You can run PHP code on all the chief platforms, permitting designers to organize the websites in different stages.
From the business perspective, it would be a cost-effective use of the current framework, which will work on platforms such as Linux, Unix, and Windows.
(2) Large Community/Libraries
A vast library of tutorials and resources supports PHP. Being an open-source, server-side scripting language, the developers learn PHP from its users worldwide, and that’s why every developer usually adapts it.
Python can be the best start for beginners in programming and coding. Relatively, it’s easy-to-learn that makes it perfect for grabbing programming skills.
(4) Works Exceptionally With CMS
Being a server-side scripting language, PHP lets developers change codes as required. Because Content Management Systems (CMS), like Joomla, Drupal, WordPress, and others, are primarily built on PHP, all PHP sites are configurable and can be updated to match the customers’ needs rapidly.
Therefore, it’s simple to integrate or build a powerful custom-made CMS solution.
(5) Zero Cost
As PHP is an open-source language, it’s handy, free, and supported by various documentation. That’s why PHP found its way to popular apps like Twitter, Facebook, WordPress, Wikipedia, and more.
Also, it’s readily available for beginners who need to test their coding aptitude.
Programming with PHP is like composing an article in English. Moreover, it’s compatible to run productively on any system; thus, programmers can write customized scripts entirely.
What is Python Used for? – Use Cases Of Python
Python is in-demand and a popular language globally as it’s simple to learn. Chiefly is used for data analysis, website development, task automation, and data visualization.
But, do you know what is Python used for? Let’s discuss below:
(1) Machine Learning
For data science, this programming language has been one of the widely-preferred programming languages. Well, it would not be wrong to credit Python open-source community and developers without whom the development of various useful libraries for machine learning and scientific computing hasn’t been possible.
Python has various libraries that allow coders to write programs for machine learning and data analysis more efficiently and quickly.
(2) Artificial Intelligence
Python is a flexible, stable, and simple programming language, so it’s best for artificial intelligence (AI) and machine learning (ML) projects. Various AI and ML libraries and packages help attain the expected outcomes.
Using this programming language for AI, you will get solutions for real-life issues. This language provides a personalized user experience so the professionals can get the best for customers using it.
(3) Data Science & Analysis
Like machine learning and AI, data analytics is one more fast-developing field that uses Python programming. While creating more data like never before, you need something that can accumulate, manipulate, and organize information.
For data science and analytics, Python proves to be helpful. It’s a flexible, easy-to-learn, and well-supported language, which means it’s relatively quick for data analysis. And while working with a large amount of information, it is useful for conducting repetitive jobs and manipulating data.
(4) Natural Language Processing
Various aspects of Python make it a good programming language choice for a Natural Language Processing Project. Its transparent semantics and simple syntax make it a perfect pick for such projects.
Besides, Python offers developers an extensive collaboration of NLP libraries and tools that allows developers to handle various NLP-relevant jobs, such as topic modeling, document classification, word vectors, and more.
(5) Image & Voice Processing
One of the widely-used programming languages for image and audio processing, Python, has perfect tools and libraries that help accomplish such jobs efficiently.
Pillow is a powerful library that supports various image formats, such as PNG, PPM, BMP, GIF, TIFF, and JPEG. Also, it can assist you in performing many operations on images, like resizing, rotating, grayscaling, cropping, etc.
Librosa and PyAudio are unique libraries of Python for audio processing. There also exist in-built modules for some basic audio functionalities. The module analyzes the audio signals and includes the nuts and bolts to develop a MIR (Music information retrieval) system.
(6) Internet of Things
Many developers consider Python the most-preferable language in the market, which has clean syntax, is simple to learn and has a vast online community in its support.
When it comes to IoT, Python has become a fantastic choice, and one can use it for back-end or software development. It identifies the needs, whether you need to craft an IoT project from scratch or interact with sensors, actuators, and accessories.
Similarly, various libraries of Python for all sorts of platforms and its speed are reasons for choosing this programming language for IoT devices.
(7) Spider bot/Web Crawlers
(8) Software Testing and Prototyping
Python is best for rapid prototyping or production-ready software development.
Testers usually look for a programming language that’s easy to learn, suits the best with a wide range of tasks backed by Selenium WebDriver, and is easy for scripting. And here arrives the best of all, an easy-to-learn language that meets the testers’ needs a general-purpose language.
Python aid in varied tasks like bug tracking, build control, and testing. Software developers use this language to automate testing for new features or products. Green and Requestium are the tools usually used for software testing.
(9) Automation or Scripting
When you find yourself stuck with repetitive tasks and need to automate them to make them work more efficiently, you can use Python to automate them.
In the world of coding, automation is usually chosen to check errors across various files, execute simple math, convert files, and remove redundant data. At workplaces, Python is generally picked to automate and schedule the sending or receiving of texts and emails.
Using Python, you can convert a time-taking task into an automated or scheduled task.
On the other side, Python is already a scripting language and interpreted and high-level programming language that meets the general programming needs. When you write code to craft automated processes, it’s known as scripting. And it includes a ton of libraries that assist you in writing a script faster.
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What Kinds Of Apps Can You Develop Using Python?
Easy to learn, readable, and fast development; such traits make Python a fantastic choice for developers. Because of this, it’s an ideal programming language in the mobile market, where the time-to-market is crucial to grab a huge chunk of market share.
Basically, Android and iOS don’t support interpreter-type languages, and it states that you can’t run the app natively. That’s why, earlier, developing mobile apps using this programming language was not a common thing.
Well, today, things have changed with the evolution of various frameworks. There exist different GUI frameworks that bridge this gap. Now, the developers can make mobile applications work natively on mobile devices.
Let’s check out what types of apps you can develop using Python.
(1) Audio Video Streaming Apps
With Python, you can build all types of audio and video apps. This programming language includes various libraries that assist in developing audio and video apps, like PyDub and OpenCV.
For example, YouTube.
(2) Gaming Application
For gaming app development, developers use Python to craft game designing tools that help in various development tasks, like building dialog trees and level designing.
For example, Battlefield 2.
(3) Blockchain Application
To develop blockchain apps, developers use Python frameworks, such as Flask, to utilize HTTP requests to interact with their blockchain on the Internet and build endpoints for different blockchain functions.
In fact, developers can run the scripts on various machines for decentralized network development.
For example, Ethereum.
(4) Enterprise Application
Enterprise app development needs management of simultaneous requests, which Python can attain easily. Developers prefer this programming language to build enterprise apps, and some of the world’s leading enterprises use this language in their technology stack.
For example, IBM.
(5) eCommerce Application
If you want your eCommerce project to perform as expected, then Python is the right choice for you. It is a scalable language, making the eCommerce app development process agile. So, eCommerce developers mostly build appealing, interactive, and robust apps using it.
For example, Saleor.
(6) Web Application
You can use Python for developing server-side web apps. As there’s no requirement for a web framework for building web apps, developers’ top preference would be open-source libraries that pace up app development.
For example, Netflix.
Popular Python Framework For App Development
The ecosystem includes various libraries that cover almost every aspect of website, software, app development, and more.
A free and open-source web framework, Django works following the model–template–views architectural pattern. It’s a high-level web framework that allows the fast development of maintainable and secure websites. This backend server-side web framework simplifies developing web pages using Python.
A general, open-source web app development framework, Pyramid, is developed in Python. It lets developers quickly build web apps. Moreover, the enterprise knowledge Management System KARL (a George Soros project) supports this framework.
A micro web framework, Flask, is written in Python that’s classified as a microframework as it doesn’t need specific libraries or tools. It has no form validation, abstraction layer, or other components.
A simple, fast, and lightweight WSGI (Web Server Gateway Interface) micro web framework for Python, Bottle is shared as a single file module. It has a dependency on the Python Standard Library.
A popular framework, CherryPy helps build web apps in a more reliable and faster way. Also known as a web library, it’s widely known for its simplicity because it’s based on object-oriented programming, leading to smaller source code in a short time.
A web server framework for Python, Cyclones implements the Tornado API as an event-driven network programming framework known as Twisted protocol.
Python has arisen as the most versatile programming language worldwide. Using its tools and resources, you can attain ease, flexibility, and diversity in your next mobile app development project. As it’s fast, it will save your time and money. Therefore, to develop websites or apps for your business with this programming language, you can hire a team of developers who will help you meet your objectives.