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Let us guess – you want to pick a programming language for your project but are not sure which is the best? We know that selecting one technology can be hard; but we suggest you give Python a try. The language is flexible and we think that you will find programming with it to be fun!
Python is also easier to learn than many other programming languages, so you can learn it fast and finish your project sooner. If you start using Python, we believe you will like it very much and will want to use it for all of your projects. To make it easier for you to know how Python is used, we put together the best Python app examples in this article. Let’s dive in and get ideas from the great Python app examples that are leading the current tech industry!
Do you wonder what Python is and how come it’s so easy to pick up? You see, Python is a general-purpose programming language that we can run straight away (interpreted) and works with objects (object-oriented). Since Python’s syntax is clean and plain, coding in Python is quick, even when working together with other coders.
Did you know that Python is modular, so it’s very easy for developers to mix it with different technologies. Being open-source, Python has a well-established community which ensures developers have the support they need while lowering development costs.
Some common reasons that contribute to Python’s popularity and have lead to the availability of numerous Python app examples in the industry are:-
Now that we have answered the question “what is Python used for,” let us look at the best Python app examples that developers and businesses must check out. Some popular companies whose applications are developed using Python include Reddit, Instagram, Dropbox, Uber, Spotify, Netflix, Lyft, and Facebook.
Reddit, a popular social media platform, is considered to be a source of dank memes and humorous videos; and, it is also the prime Python web application example that anyone can offer. The platform features numerous subreddits where users can communicate with a community of like-minded people and seek advice or vent out too.
According to a keynote by Steve Huffman, Reddit’s Co-Founder, he can easily understand whether a Reddit developer is writing good code or a bad one. This is because Python code has an obvious structure which makes it readable and allows other developers to easily verify whether the code is efficient or not. Python has numerous ready-to-use libraries which also helps ensure that Reddit developers can seamlessly develop the platform.
Dropbox has a web application and also has mobile apps for iOS and Android. The popular content hosting service is capable of running on different operating systems like Mac, Windows, and Linux.
Dropbox’s current market valuation is over $9 billion, making them one of the best Python web apps examples. According to Dropbox, Python is widely used for the development of their backend services and the Dropbox desktop client app. Since the platform uses Python for both client and server sides, they reap the benefits of Python’s static type checking. The feature allows Dropbox developers to quickly verify their huge codebase and helps boost business productivity.
Unlike the other Python app examples, Instagram’s tech stack has changed over the years, but the app would not be possible without Python. Currently, Instagram has over 2.35 billion monthly active users, and was built using Django. Django is a high-level Python web framework that makes development easy and reduces the total time needed.
However, Instagram has come a long way since then, and Instagram developers have built static sort checkers that check their servers with Python. The platform’s server is majorly filled with million lines of Python code; which is why, they use type annotations to ensure their contract for Python HTTP APIs are fulfilled.
When Uber was getting started, the development team had to choose between two popular programming languages – Ruby and Python. Well, the Uber development team chose Python to properly handle their frontend and backend functions which had to process numerous calculations.
If you have used the Uber app, you surely know that ride prices are based on multiple factors like traffic, demand and supply, ride duration, and weather conditions. Since the Uber backend had to handle numerous mathematical calculations at big data levels, they chose Python; after all, Python has huge computation capabilities and is easier to learn than Ruby.
To be specific, Uber uses the Tornado Python web framework to benefit from async programming. The company has also developed its own frameworks that Python accesses to render high-density data visualizations in browsers itself.
Netflix is a prime OTT platform that took the world by storm and changed the way we view movies and stream web series. The platform has a powerful recommendations and analytics engine, which provides users with great suggestions based on their watch history and other factors.
Since Python is an intuitive language, Netflix’s developers realized that the language can help them quickly solve networking issues. This is why they decided to incorporate the language and use it throughout the platform’s complete content lifecycle. Some common features of the platform realized using Python that you must check out, include ML recommendation algorithms and security tools and resources.
Here’s another interesting fact for you – Netflix’s proprietary content distribution network, widely known as Open Connect, is also built on Python. With so many features developed using Python, Netflix is certainly one of the best Python web app examples we could have found for you.
Everybody loves music and with Spotify’s music-on-the-go capabilities, the app has become the top music streaming platform. We are pretty sure that you have used Spotify on your commutes to work or tuned in to your favorite podcast; at least, we can say that we surely have!
According to a release by Spotify’s engineers, the platform’s user forecast infrastructure was developed using Python. So, you might like to thank Python for all the great music recommendations and playlists you get on Spotify!
The concept of social media was mostly introduced by Facebook (now: Meta) and we have to say that our lives have change a lot since. Do you remember the time when Facebook was recently introduce and all of us were busy updating our lives on the platform? Everyone was posting on their Facebook wall and checking it for updates (the golden days, really!).
Are you curious to learn about Facebook’s tech stack that helped them create the popular social media platform? Well, Facebook has a huge tech stack that includes numerous programming languages and technologies; but, even today, Python is undoubtedly one of Meta’s widely-used programming languages.
Python has been instrumental in Meta’s journey and has helped Meta Developers maintain Facebook and Instagram. So much so that the company donated $300,000 to the Python Software Foundation in 2022. This is why developers from across the world consider Facebook to be one of the top Python web app examples.
Lyft was launched in 2012, 3 years after Uber, but gained huge popularity due to the added convenience of accessing multiple services on a single platform. The platform offered Americans and Canadians with services like ride-hailing, motorized scooters, car rentals, food delivery, and bike-sharing systems.
You can consider Lyft to be a one-stop solution to all common transportation and delivery issues. According to Lyft’s official GitHub page, the platform mostly uses open-source technologies, namely:-
Now that you have explored the top Python app examples in today’s tech industry, let us look at some other use cases of the language:-
If you are running a business, you surely know the complexity of handling large amounts of data and processing them. Well, Python might be able to rescue you; after all, the language is capable of quickly analyzing and computing data, and has numerous libraries that support data visualization. This is why you will see that data science courses focus a lot on Python.
Since Python is a general-purpose language, you can easily build GUIs and APIs with the language.
Do you have an interest in Game Development, but feel uncertain about where to start? Consider Python as your solution; leverage its libraries – such as PyGame – to swiftly build and design new and compelling games.
Have you wondered how websites extract real-time data from different applications and price-match? Or, how do research teams gather huge amounts of data to ensure that their research is on the right track?
Well, web scraping is the solution; an important part of data analysis, it refers to the extraction of large amounts of data from the internet or a website. As you know, Python is quite simple to code; it also has libraries like Numpy, Pandas, and Matplotlib, that will help you develop web scraping apps.
As you can see, Python is a simple programming language that has quite advanced capabilities. Once you start working with Python, you will surely appreciate the language’s versatility.
We hope the above article offered some great Python applications examples and helped you understand the reason behind its craze. If you have a development idea in mind and think Python would be suitable, we say go for it without hesitation!
Some popular apps using Python that you have surely used include Instagram, Netflix, and Spotify (more on them in the above article).
Yes, you can use Python to develop mobile applications; it has surely helped numerous developers build popular mobile apps (examples in the article above).
Some common types of applications that you can build using Python include games, mobile apps, web applications, and web scraping tools.
Some famous applications built on Python include Netflix, Facebook, Spotify, Lyft, Dropbox, Reddit, and Uber. If you are curious to know how these companies used Python, read the above article.
Written by Sunny Patel
Sunny Patel is a versatile IT consultant at CMARIX, a premier web app development company that provides flexible hiring models for dedicated developers. With 11+ years of experience in technology outsourcing, he spends his time understanding different business challenges and providing technology solutions to increase efficiency and effectiveness.
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