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Python in Action: Top 3 Python Use Cases
Editor's note: Find out why Python is so popular nowadays, and what makes it so good for web development, creating machine learning-fueled solutions and revitalizing legacy applications. And if you are looking for professional help with a Python-based project, be sure to consider ScienceSoft, a custom software development company with 8 years in Python development.
Invented in 1991, Python has been gaining traction since the early 2000s. Today, it is arguably one of the most popular programming languages in the world. According to Statista, Python was the programming language number one in 2019 with a 29.62% share, demonstrating 4.2% growth compared to the previous year. Such giants as Google, Facebook, Instagram, Spotify, Quora, Netflix, and Dropbox rely on Python.
Why does Python keep getting more and more popular despite being almost 30 years old? Originally created as a scripting language for system administrators, now it is one of the go-to languages in web development and machine learning. We at ScienceSoft have been in Python development for more than 11 years, and here I’d like to share the 3 most popular Python use cases.
Back-end web development
Python is a perfect match for database interactions and writing APIs, so it’s no wonder the language became the key element in the development of many globally popular websites and web services. Python frameworks Django and Flask are the most popular web development frameworks nowadays. At ScienceSoft, we opt for Django for sophisticated, multi-layer, full-stack applications. In case of small, simple software solutions or software parts that will be integrated with other applications, we choose Flask.
Data analytics and machine learning
Python is often the language of choice for the development of data analytics solutions and data science- and machine learning-powered solutions. ScienceSoft’s data science team relies on such Python libraries as OpenCV and scikit-learn for building machine-learning algorithms, and Keras for creating and training neural networks. Leveraging these tools, our team has created solutions for accurate sales forecasting, defect detection and production quality monitoring for retail, manufacturing, oil and gas, and other industries.
Modernizing legacy applications
Python’s great suitability for machine learning technologies brings another major benefit of this language. Python is the best (some say the only) choice for modernizing legacy applications to add machine learning capabilities to them. Considering how widely machine learning is used nowadays, from finances and banking to healthcare, there is an increasingly growing demand for such projects.
Is Python worth using in your project?
Python is an extremely powerful yet relatively simple programming language supported by a variety of functional frameworks and libraries. Should you shortlist Python for your software development project or feel lost at choosing a programming language at the first place, don’t hesitate to contact us.