Java vs. Python: A Comparison of Features and Use Cases

Recently, I had a discussion with a senior Java developer friend of mine, who said to me that Python was not a “real” programming language. This belief is not uncommon among Java developers who may view Java as a more powerful and robust language compared to Python. Since I don’t have experience with Java, I started to investigate the question. In this article, we’ll take a closer look at the key features and common use cases for Java and Python to help you decide which language is best suited for your next project.

Java Features and Use Cases:

Java is a widely-used, general-purpose programming language that is known for its performance, scalability, and security features. Some of the key features of Java include:

Object-Oriented Programming: Java is an object-oriented programming language, which means it emphasizes the use of objects, classes, and inheritance to create reusable, modular code.

Platform Independence: Java code can run on any platform with a Java Virtual Machine (JVM), which makes it highly portable and allows developers to write code once and run it on multiple platforms.

Strong Typing: Java is a statically-typed language, which means that variable types must be declared explicitly at compile time. This can help prevent errors and make code easier to maintain.

Some examples of use cases for Java include:

Enterprise Applications: Java is a popular choice for developing large-scale enterprise applications due to its performance, scalability, and security features. Companies like LinkedIn, Netflix, and Amazon use Java extensively for their back-end systems.

Android App Development: Java is the primary language used for developing Android apps, which run on over 2.5 billion active devices worldwide.

Web Development: Java is often used for building web applications using frameworks like Spring and Struts.

Python Features and Use Cases:

Python, on the other hand, is a high-level, interpreted programming language that is known for its simplicity, ease of use, and versatility. Some of the key features of Python include:

Easy to Learn: Python has a simple, easy-to-understand syntax that makes it a popular choice for beginners.

Dynamic Typing: Unlike Java, Python is dynamically typed, which means that variable types are inferred at runtime rather than being declared explicitly.

Large Standard Library: Python comes with a large standard library that includes modules for a wide range of tasks, from web development to scientific computing.

Some examples of use cases for Python include:

Data Analysis and Machine Learning: Python is widely used for data analysis and machine learning tasks due to its ease of use, large number of libraries, and powerful frameworks like TensorFlow and PyTorch.

Scientific Computing: Python is also used extensively in scientific computing for tasks like simulation, modeling, and visualization.

Web Development: Python is used for building web applications using frameworks like Django and Flask.

Comparison of tech companies using which language and for what purpose


Amazon: Amazon’s website and backend systems are built on Java. It’s also the primary language used for building applications on Amazon Web Services (AWS). LinkedIn: LinkedIn uses Java for its backend systems, as well as for developing Android apps. Uber: Uber uses Java for developing backend services, such as trip management and driver payments.


Google: Python is heavily used at Google for a variety of applications, including machine learning, data analysis, and backend development. Dropbox: Dropbox uses Python extensively for backend development, as well as for building internal tools and automation scripts. Spotify: Spotify uses Python for a variety of purposes, including data analysis, machine learning, and backend development. They also use it for developing their desktop and web applications.


Ultmiately, even if Python may be seen as not being a “real” programming language, the reality is that each language has its own unique strengths and applications. The choice between Java and Python will ultimately depend on the specific needs and requirements of the project at hand, as well as the team and the available talent in your talent pool.