Java V/s Python: Ultimate Battle

Java Vs Python

Some comparisons are tough because, on both sides, you have equally great options. But by getting closer, you can detect the key differences underlying them. When it is about comparing Java and Python, two popular and widely acclaimed programming languages, we face a similar situation.

Which one of the two is best? Is it Java or Python? Well, there is nothing of this sort. Both are great programming languages for their specific use cases and purposes. So, there is a straightforward answer to this question.

But if you ask which of these two languages suits your project best, we can try to explain by pointing at the differences. They have differences that make some app projects more suitable for Java and some for Python. When it comes to a mobile app development Denmark boasts of a budding community of promising startups busy with innovative projects built on Python. Well, Python is increasingly getting popular among aspiring new developers and startups.

Let’s explain with a comparison of the strengths and weaknesses of these two languages.

Important Statistics on Both Sides 

As per the industry-acclaimed Tiobe Index, Java leads with 16.61% developers preferring it in comparison to 9.874% developers giving their opinions in favour of Python.

As per Statista One-fifth of searches on Google for the most popular coding language belongs to Java in last year followed by Python in the close second place. As per Google Trends, the popularity index for both Java and Python comes with a negligible difference.

Syntax and Coding 

Both Java and Python are object-oriented languages. They differ in the way objects are used. While Java makes use of static objects, Python uses dynamic objects. This comes as a fundamental difference shaping many aspects of programming.

Python allows developers to combine and compile multiple data types in the same code. Java doesn’t allow this, and the developers have to specify the different data types before collecting clearly.

The static-typed programming syntax used by Java is less susceptible to coding errors while allowing faster compilation. With dynamically typed syntax, there are more chances of coding errors that can hamper the performance.

Lower Learning Curve 

Yes, just within a weekend or so you can learn python basics and begin coding. Maybe for some, instead of a weekend, this can extend up to a week, but the truth remains the same. Python offers a very lower learning curve and easy to begin your coding career. On the other hand, Python stands as superior as Java in terms of building excellent feature-rich and performance savvy apps.

But in spite of being a highly popular and stable language that has already been used in the largest number of software and web applications across niches, Java is still regarded to be a language with a higher learning curve. Java coding skills cannot be developed just over a weekend.


When it comes to stability, Java stands ahead of the competition. Java is conceptualised in a way that every aspect needs a clear definition, and hence Java developers need to write more code. But this is also the reason why Java is more stable. Because of the need to write code for everything, the app performance gets a solid code to stand, and there is little scope of deviation or inconsistencies. No wonder big companies prefer Java for this stability.

In contrast, Python requires writing far less code. Python is leaner and less complicated and that are equally advantageous aspects for projects. But since every detail is not covered with code, there are scopes of inconsistencies and slack performance as well.

Speed and Performance 

These days for most developers optimising speed and performance became an important consideration since users tend to give more priority to sophisticated user experience and faster loading speed than just app features. Apart from app performance, ease and speed of development is also a key consideration.

Java, with its Java Virtual Machine (JVM) runtime environment, ensures less coding time and faster execution. Python, in contrast, requires interpreting the data types at runtime, and this causes slower performance.

Community Support

When it comes to software app development, having access to an established and broader community support is a great advantage for developers. Thanks to community support developers can use tools built and shared by others with the developer community. Getting these resources is important to ensure optimum development standard and practices.

Java, as a long-standing language from the house of Oracle, has been there for decades and developers from all over the globe made a bursting active community unparalleled in the software industry. You can find more Java User Groups (JUGs) and resources than a community of any other language.

Python, despite being a newer language among the two boasts of equally a huge community of 1, 637 Python developers across 37 countries and 191 global cities. There are several hugely popular channels like PySlackers, PyCon convention, PyLadies, and FreeNode IRC Python to help developers.


In spite of this head to a head comparison that doesn’t see anyone better than the other, we must admit the increasing popularity of Python in recent times. Principally because of its easier learning curve and capabilities to accommodate complex algorithms, Python has attracted many aspiring developers. Java, as the established language with a strong foundation, will continue to play a key role in enterprise apps while Python’s popularity almost caught it by the tail.