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Blog Overview: Choosing Python for the application project is an ever-worthy technology solution. The list of the most popular applications made with Python will blow your mind. It is highly beneficial for simple to sophisticated projects like AI ML software. The article discusses the list of top Apps Built With Python examples which conveys the success stories of big brands backed by Python!
Python leads the index of the top 20 high-performing programming languages chart again. It has retained its first position for two consecutive years now. It has received 16.12% ratings. While JavaScript ranks in 6th position. Well, it openly proves that Python still has its evergreen charm among clients globally. Perhaps, due to the global business analysis, the benefits to build applications with Python have a bright future.
From Python-based frameworks, and libraries to tools, it has an exclusive package of top-notch functionality. To take you on its progress journey, we will elaborate on the best Python app examples. As a well-established Python development solutions provider, our expertise has tailored various industry-driven projects to efficient success. Before explaining the popular apps built in Python, let’s have a look into why use Python even today.
Now, let’s have a look at the most popular applications made with Python. It will crystal clear your thoughts on choosing Python solutions and make you reap competitive benefits.
The following names will compel you to hire dedicated developers with Python or full-stack knowledge. Get inspired by the top Python apps examples with your project-based takeaways from each.
The first and foremost top Python apps example is Amazon, the biggest e-commerce platform in the world. It has truly discovered the strength of Python by implementing it at different operation levels. So, the Python machine learning system boosted Amazon’s performance with the Hadoop database.
Amazon must manage the extended user base as the widely prevalent eCommerce store. Accordingly, Python provides the back to Amazon’s recommendation engine. Well, the results are effectively visible in the personalized recommendation section.
Python is indeed greatly responsible for the scalability criteria of Amazon. However, the major reason for the tie-up between Python and Amazon is due to its capability of Big Data. It makes Amazon deliver enhanced search results focused on the specific needs of users. So, the credit goes to Python-backed frameworks Django and Flask. It has increased the overall efficiency of Amazon’s website and cloud services i.e., Amazon Web Services (AWS).
The soundtracks and playlists of Spotify are ever-compelling for any mood. It has actually hit the emotional chords of music lovers with aesthetic features. Python is also one of the reasons behind Spotify being the trendsetter music-streaming application.
Using data manipulation libraries like Pandas and NumPy of Python, Spotify has benefited from boosting the data-driven decision-making process. Its smooth data analysis and processing make it a quick player. Accordingly, Python aids in managing data and extracts information for proper business decisions. Hence, Spotify is a significant top Python application in the real world today.
The insightful and public interactive platform Quora has the powerful back of the Python programming language. Its streamlined coding has helped the designer fabricate the application for device-friendly options. With the release of its new versions, Python’s performance has been upscaled.
The Quora technical team has considered using Python due to its speedy MVP development and all related functionalities. It has matched the project needs and boosted to provide long-lasting scalability to the Quora codebase. Furthermore, the co-founder of Quora has believed in the evolution and adaptability of Python and opted for it. As a result, the choice of Python has been proven tremendously beneficial for Quora.
Next from the bucket of top Apps Built With Python is a grocery delivery application, Instacart. It has been an efficient blend of Python and R programming languages. It utilizes the NumPy and Pandas libraries of Python. Accordingly, it manages the demand forecast for the application and offers proper estimation by fetching historical data.
Apart from all these, it majorly uses Python for its data science features and enables cutting-edge solutions for relevant results. In other words, you can consider that Python has offered advanced and future-ready features for the Instacart application.
The backend infrastructure of the Lyft application is written in Python and Go coding languages. It is making a secure and industry-oriented approach to delivering appealing applications. Lyft has progressed with the latest upgrades of Python over time. Accordingly, it has offered new versions of tools or libraries for enhancing the Lyft application performance.
Being a general-purpose language, Python has brought the advantages of higher security and compliance features to applications. Additionally, Python has led the Lyft app in controlling costs. Thus, it has made the position among famous Python apps examples and the household name for passengers to book cabs online.
Next up is the widely used easy file and photo sharing application services provider, Dropbox. It is the one-stop solution for storing files in the cloud, quickly sharing, and syncing the device data. With 1B+ downloads on the Play Store, Dropbox has captured the audience with security-driven services. Kudos to Python, The software engineers at Dropbox have selected it for extensive support and seamless memorization.
As the popular technology stack for web apps, Python has organized the development cycle. The single codes used by Python for Dropbox make it easily manageable to execute any modifications. Therefore, Windows, Linux, and even macOS devices can effectively install Dropbox.
The informative cum social networking platform Reddit is another front of popular apps built in Python. Today, this US-originated web application delivers stellar solutions to a global online audience. Reddit has quite complicated functionality and gets huge traffic on a daily basis. Thus, Python ensures to offer smooth readability. The Python-based ready-made libraries do remarkably simplify user navigation.
In addition to that, Reddit has been written in Common Lisp which has complete access to code libraries. The flexible and user-focused development has made Reddit application users post content easily. Moreover, Python ensures to handle various sophisticated features without any hiccups.
Instagram, a social media giant liked by Gen-Z has 4.7-ratings on the Apple Store. It has hyped the significance of networking and image sharing. Well, Instagram enables users to take photos or videos and share/edit them in the app. As a renowned image-sharing application, it has gathered optimal engagement and is listed among the top applications built using Python. The Django web framework of Python strengthens Instagram with proficient data-driven solutions. So, it makes developers enhance the functionality with enriched UI components.
The Python-built tools Ansible and Fabric help Instagram manage the broad infrastructure. It makes automated deployment and seamless configuration. Hence, Instagram is well-equipped to efficiently structure the operation and workflow which results in higher user interaction.
The last one of the top applications built using Python is Pinterest. Using the powerful performance of Python along with Django is the secret mantra of Pinterest. So, this interactive platform allows users to share images, collect, share, and bookmark their favorite ones. It is a sort of community networking app where people share their creativity in the form of images or videos.
The Python-based libraries support Pinterest with proper campaign management and also simplify authentication. It bestows error handling and maintains flexible processing of a large mass of content on the web application. Also, it’s a responsive layout and Python’s coding keeps the grip for fast load time. Therefore, Pinterest is a true inspiration as the top Python examples for startup enterprise applications in recent times.
It’s your time to explore and attain the advantages of the quality-rich parameters of Python. You can make your project reach a global audience and transform it into a brand. Moreover, you can build apps using Python and list your brand in the list of top Apps Built With Python also its frameworks which have the potential to soar in the present and future market.
Rlogical can help you with the far-view aspect and deliver a maintainable approach to Python development services. You can also get a free overview of your projects from our expert development team. Our innovative and tech-oriented skill set will furnish your software with optimal results.
Jatin Panchal is the Founder & Managing Director at Rlogical Techsoft Pvt. Ltd. For more than a decade, he has been fostering the organization's growth in the IT horizons. He has always bestowed personalized approaches on .NET, PHP, Flutter, and Full-Stack web development projects. From startups to large enterprises, he has empowered them to accomplish business goals. By delivering successful industry-driven solutions, he is encouraging the capability of AI, ML, blockchain, and IoT into custom websites and hybrid mobile applications.