Python was created in 1991 and became popular from the early 2000s. It is truly one of the most popular programming languages in the world today. At Trustify Technologies, we have been developing Python for over a decade and here we would like to share three of the most popular Python use cases. Let us help you find out why Python is so popular today and how effective it is for web development, creating machine learning solutions, and modernizing legacy applications.
According to the Tiobe Index, Python is currently the leading programming language in 2024, with a 21.9% share of the market, growing by 7.08 percent this year. Major tech giants such as Google, Facebook, Instagram, Spotify, and Netflix, etc. all use Python for their development.
Why is Python still so popular after 32 years? Originally developed as a scripting language for system administrators, it is now one of the most important languages for web development and machine learning solutions.
If you are looking for professional help with your Python projects, be sure to contact Trustify Technology, a software development company with over 10 years of experience in Python development.
Back-end web development
Python is great for database interactions and creating APIs, so it is no surprise that the language plays a major role in the development of many popular websites and web applications around the world.
Additionally, Python frameworks like Django and the Flask framework are two of the most popular web development frameworks available today. At Trustify Technology, we choose Django for complex, high-volume, high-performance applications. For smaller, more complex applications that need to be integrated into other applications, we opt for Flask.
Machine Learning Solutions & Advanced Data Analytics
Python is often the chosen programming language for data analytics and data science projects, as well as machine learning. Our data science team relies on Python libraries such as OpenCV and scikit-learn to build machine learning models, and Keras to build and train neural network models. Using these technologies, our team has developed comprehensive Big Data and ML solutions for investment firms, for performance evaluation of their portfolio companies, as well as in retail, retail, oil and gas, and other industries.
Legacy Applications Modernization
Python’s excellent integration with machine learning technology gives the language another big advantage. Python is among the best choice (some say the only one) to modernize legacy applications and incorporate additional machine learning capabilities to them. Today, machine learning is used in every industry from finance to banking to healthcare, and the demand for it is still growing strong.
Is it suitable to use Python in your project?
Python is a very powerful and effective programming language that is supported by a wide range of frameworks and libraries. If you need help choosing Python for your software development project or if you are not sure which programming language to choose, do not hesitate to contact us.