At the moment, the TIOBE index monitors 265 popular programming languages. The TIOBE includes a language on the list if it matches three key requirements: it is Turing complete, has its own Wikipedia page, and provides more than 5,000 search results on Google.
However, there are many more technologies that are in current use or have already fallen off the radar. Wikipedia tracks over 700 programming languages with the view of involving all notable technologies in existence. So, how do you pick the best one to build a software project?
The decision depends on many factors, for instance, the product type (web, iOS, Android), solution category (machine learning, blockchain, big data, etc.), business needs (data security, high scalability, performance, resilience, etc.), other specifications (e.g., statistical computing, data analysis).
Since it’s rather challenging for business owners to choose a programming language for software development, we’ve prepared this article to help you. Take a look at our top 8 which were created on the basis of multiple surveys, ratings, and our own experience.
Python supports multiple programming paradigms that involve object-oriented, procedural, and functional programming. The core philosophy behind Python is based on simplicity and high code readability.
As StackOverflow reports, Python is the 4th most used and the second most loved programming language among software engineers from all over the world. YouTube, Instagram, Dropbox, Reddit, Quora, Spotify, Netflix, and many other globally known projects are implemented with the help of Python.
The technology provides various modules and packages for building graphical user interfaces (GUI), making text/image recognition solutions, allowing scientific computing, creating pseudorandom numbers, and a lot more. That’s why it’s being widely used in banking, finance, insurance, fintech, healthcare, digital marketing, and other sectors that operate large data amounts and need to ensure personalized experiences.
With TensorFlow, Keras, and other libraries, Python is a perfect choice for writing Artificial Intelligence, data analytics, and web applications. Now startups are widely using Python to develop truly innovative products and attract investment. Python is especially enjoyed for its high development speed, concise syntax, and great machine learning capabilities.
Domio is a real estate firm located in the USA that aims at delivering high-quality services to the short-term vacation market. Established in 2016, the startup employs machine learning and data analytics to find rental properties. By now, Domio has raised $116 million across all funding rounds.
Simon Data is a New York-based startup that provides a Customer Data Platform (CDP) for businesses. Leveraging big data and machine learning, it helps enterprises ensure a personalized experience and power customer communications. Simon Data has attracted a total investment amount of $61.8 million over 5 rounds. Both Domio and Simon Data use Python in the core of their digital products.
The main use cases of Python are:
Artificial Intelligence: machine learning, deep learning, natural language processing (NLP), text and image processing
Having a strong developer community support, Python is constantly being improved. Last month, on January 25, 2020, Python 3.9.0a3 was opened for alpha testing.
“Thanks to its innovativeness, speed, and simplicity, Python has seen exponential growth since its initial release. In our company, we mainly employ it for building web, machine learning, natural language processing, and data analytics solutions. Leveraging the power of Python, we help startups extend their businesses with the help of Artificial Intelligence-based and other innovative products.”