If you’re looking for the perfect tech stack for starting a new project in 2020, you might feel overwhelmed by the number of options. But there’s one language that’s versatile, mature, and popular across multiple industries. Let’s take a look at what you can make with Python, and why it’s a good idea to start a Python project now.
Social platforms
Python is well-suited for building complex, interaction-heavy social sites. In fact, you might know some examples of Python in action. Reddit, Tinder, Instagram and Quora all use Python in one way or another. In fact, you can check out Stackshare for more information on which major companies have chosen Python as part of their stack.
Python is a powerful programming language with a readable syntax. It’s equipped to manage large volumes of data efficiently, and it can be used to build almost any type of app, which allows project teams to really bring their vision to life through unique features. All of this makes Python perfect as a building block for social application.
Fintech solutions
In fintech, security, reliability and performance are key - and Python offers support on all three fronts. It’s a mature language with a robust community, which means that any security issues that may crop up are addressed quickly and efficiently. For the same reason, Python is reliable, with good practices established by the community and a vast trove of resources that cover pretty much any programming dilemma you may encounter. Finally, Python is made for handling big data and heavy calculations. For these reasons, businesses such as Revolut, PayPal, N26 and Nubank chose Python for their stacks.
Healthcare & pharmaceutics
Powerful or no, not every programming language can handle the unique requirements for building healthcare apps - but Python can. AstraZeneca, a research-based biopharmaceutical company, used the language to facilitate experimental chemistry. They built an app (called PyDrone) that was easy to understand for researchers without an IT background - and they did so in only six months. Exscientia used Python-powered AI technology to discover new medication for the obsessive-compulsive disorder. And recently, the MIT built a neural network for a similar purpose, choosing Python as part of their tech stack.
Python is an excellent choice for building complex research tools. It’s readable even to people without much coding experience, and it offers more than enough computing power to get the job done. After all, Python is well-known as a language for developing Machine Learning and Artificial Intelligence apps - apps that need to efficiently process high volumes of data. Python is also open source, which means no licensing fees and therefore a low cost of entry when starting a new project.
Analytics for streaming services
With the vast amount of content available to us on the web, we rely on recommendation algorithms to supply us with things we’re likely to enjoy, based on our past choices. This is how the world’s top streaming services work - they use machine learning to intelligently tailor their offer to viewers or listeners. And because Python is perfect for creating ML technology, both Netflix and Spotify have it in their stacks.
Python comes with a huge ecosystem of existing tools and community support. Both of these factors minimize the risk of making costly mistakes when building a complex app. It also offers powerful libraries for numerical analysis, top-tier security tools, and the best resources for building machine learning training models. If your business is based on good content recommendations, Python is the right programming language for you.
Cloud computing platforms
Even Google, one of the true giants of the online sphere, uses Python. Google is actually among the main contributors to Python’s continued growth. Their engineers appreciate Python for its fast delivery and deployment capabilities, as well as for how easy it can be to maintain Python code. One of the examples of how Google uses the language is their App Engine - a cloud computing platform for developing and hosting web apps.
It’s clear that Python can be the right solution in multiple scenarios, including businesses such as social media platforms, fintech solutions, research companies and streaming services. Though the examples we’ve used are big players, Python will work well if you want to start small and scale up as you go, too. If you still aren’t sure what programming language to use when building your next product, let us know - we’ll be happy to help you decide.
Python development services can involve almost any type of project, including:
- web apps built with Django,
- custom data flows and Big Data solutions,
- AI and ML programs,
- unique custom software tailored for your business.
Ready to start building your product in 2020? Check out our Python development services site to learn what a team of Python experts can do for your business.
We’ll help you develop a brand new app, modernize an existing solution, or advise you through expert-level consulting. Whether you’re working on a simple website, or a complex project that requires one of the lesser-known Python frameworks, we can help you take the next step.
