difference between java and python

Java is a statically typed and compiled language, and Python is a dynamically typed and interpreted language. This single difference makes Java faster at runtime and easier to debug, but Python is easier to use and easier to read.

Python has gained popularity, in large part, due to its communicativity; people just grasp it easier. With it, the libraries for Python are immense, so a new programmer will not have to start from scratch. Java is old and still widely used, so it also has a lot of libraries and a community for support.

Now, let’s take a look at these in depth, including some code examples to illustrate the differences between Python and Java.

Python overview

Python was first released in 1991. It is an interpreted, high-level, general purpose programming language. It is Object-Oriented.

Designed by Guido van Rossum, Python actually has a design philosophy centered around code readability. The Python community will grade each other’s code based on how Pythonic the code is.

When to use Python

Python’s libraries allow a programmer to get started quickly. Rarely will they need to start from scratch. If a programmer wishes to jump into machine learning, there’s a library for that. If they wish to create a pretty chart, there’s a library for that. If they wish to have a progress bar shown in their CLI, there’s a library for that.

Generally, Python is the Lego of the programming languages; find a box with instructions on how to use it and get to work. There is little that needs to be started from scratch.

Because of its readability, Python is great for:

  1. New programmers
  2. Getting ideas down fast
  3. Sharing code with others

Java overview

Java is old. Java is a general-purpose programming language that utilizes classes and, like Python, is object-oriented.

Java was developed by James Gosling at Sun Microsystems, released in 1995 as a part of Sun Microsystem’s Java Platform. Java transformed the web experience from simple text pages to pages with video and animation.

When to use Java

Java is designed to run anywhere. It uses its Java Virtual Machine (JVM) to interpret compiled code. The JVM acts as its own interpreter and error detector.

With its ties to Sun Microsystems, Java was the most widely used server-side language. Though no longer the case, Java reigned for a long while and garnered a large community, so it continues to have a lot of support.

Programming in Java can be easy because Java has many libraries built on top of it, making it easy to find code already written for a specific purpose.

Who uses Python & Java?

Python is often used with new programmers or junior developers entering a data science role. The big machine learning libraries, TensorFlow and pyTorch, are both written in Python.

Python has excellent data processing libraries with Pandas and Dask, and good data visualization capabilities with packages such as Matplotlib and Seaborn.

Java is used a lot for web development. It is more common among senior-level programmers. It allows for asynchronous programming, and has a decent Natural Language Processing community.

Both languages can be used in API interactions and for machine learning. Java is better developed for building web applications. Python’s Flask library is still only able to build the basics to a Python-based UI but is great for creating a Python back-end with an API endpoint.

Python and Java are two of the most popular programming languages in the world, each with its own strengths and weaknesses. Understanding the main differences between Python and Java can help developers choose the right tool for a given task and make informed decisions when building software.

Language Type

One of the most fundamental differences between Python and Java is their language type. Python is an interpreted, high-level, and dynamically-typed language. Java, on the other hand, is a compiled, high-level, and statically-typed language.

Interpreted vs. Compiled

Python is typically interpreted, meaning that the code is executed line by line by the Python interpreter. In contrast, Java is compiled into bytecode, which is then executed by the Java Virtual Machine (JVM). This compilation step in Java can lead to better performance but also makes Java less flexible in some cases.

Dynamic vs. Static Typing

Python uses dynamic typing, allowing variables to change their type at runtime. In contrast, Java employs static typing, requiring variable types to be declared at the time of variable creation. This can make Java code more predictable and potentially safer.


The syntax of Python and Java is quite different, with Python known for its simplicity and readability, while Java is often criticized for its verbosity. Python’s indentation-based block structure enforces clean code, making it a favorite among beginners and experienced developers alike. Java, with its verbose syntax, can require more lines of code to achieve the same functionality.

Which is better, Java or Python?

The question of which language is “better” between Java and Python is subjective and largely depends on the specific use case and requirements of a project. Let’s explore some key factors to consider when choosing between Java and Python.


Java is generally faster than Python due to its compilation step and the optimization provided by the JVM. For applications where speed is critical, such as high-performance web services or game development, Java might be the better choice.

Python, on the other hand, is often preferred for quick prototyping and development speed. Its simplicity and ease of use can lead to faster development cycles. However, for computationally intensive tasks, Python may not be the best option due to its slower execution speed.


Both Java and Python have extensive ecosystems of libraries and frameworks. Java is well-suited for enterprise applications and Android app development, thanks to its mature ecosystem. Python, with its vast collection of libraries and frameworks, is a popular choice for web development, data science, and artificial intelligence.

Learning Curve

Python is often praised for its simplicity and readability, making it an excellent choice for beginners. Java’s syntax can be more challenging for newcomers, but it offers strong typing and other features that can help developers write more robust code.

Community and Job Opportunities

The choice between Java and Python may also depend on your career goals. Java has been around for decades and has a robust job market, especially in enterprise development. Python’s popularity in data science and web development also offers plenty of job opportunities.

Project Requirements

Ultimately, the choice between Java and Python should be driven by the specific requirements of your project. If you need to build a high-performance, scalable, and reliable enterprise application, Java might be the better choice. On the other hand, if you’re developing a data analysis tool or a web application, Python could be more suitable due to its rapid development capabilities.

Can Python do everything Java can?

Python and Java have overlapping capabilities, but they are not identical. Python can do many of the things that Java can, but there are situations where Java may be a better choice.


  • Both languages can be used for web development. Python has popular frameworks like Django and Flask, while Java has Spring and JavaServer Faces (JSF).
  • They are suitable for building desktop applications, although Java’s Swing and JavaFX have traditionally been more popular in this domain.
  • Python and Java are used for mobile app development. Python can be used with libraries like Kivy, while Java is the primary language for Android app development.
  • Both languages support multithreading and concurrency, although the mechanisms and libraries for achieving this differ.
  • Python and Java have strong support for integrating with databases and external services.


  • Java is often preferred for building large-scale, high-performance enterprise applications due to its compiled nature and strong typing.
  • Python excels in data science and machine learning thanks to libraries like NumPy, pandas, and scikit-learn. While Java has similar libraries, Python’s ecosystem is more mature in this domain.
  • Python is known for its simplicity and rapid development, making it a great choice for prototyping and scripting.
  • Java is widely used in Android app development, while Python is not the primary language for any major mobile platform other than some third-party libraries and tools.

In essence, Python can handle many of the same tasks as Java, but the choice between the two will depend on the specific project requirements and the developer’s familiarity with the language.

Which pays more, Java or Python?

The salary one can expect to earn as a Java or Python developer varies based on a range of factors, including location, experience, and job role. However, we can analyze some key trends to understand the earning potential of each language.

Java Developer Salaries

Java developers often command competitive salaries, especially those with extensive experience in the language. Key factors that can influence a Java developer’s salary include:

  • Experience: Senior Java developers with several years of experience often earn higher salaries than junior developers.
  • Location: Salaries for Java developers can vary significantly depending on the cost of living in their location. Major tech hubs like Silicon Valley typically offer higher salaries.
  • Industry: Java is widely used in the finance, healthcare, and enterprise software industries, where developers may earn higher salaries.

According to data from salary websites and industry reports, the average Java developer’s salary in the United States can range from $75,000 to $150,000 per year or more, depending on the factors mentioned above.

Python Developer Salaries

Python developers are in high demand, especially in fields like data science, machine learning, web development, and automation. Salaries for Python developers are influenced by similar factors:

  • Experience: Senior Python developers with expertise in specialized areas like data science or machine learning can earn substantial salaries.
  • Location: Salary levels for Python developers vary greatly by location, with major tech hubs offering higher compensation.
  • Industry: Python is prominent in data-driven industries, such as tech startups, research, and finance.

Python developer salaries in the United States typically range from $70,000 to $150,000 or more, with data scientists and machine learning engineers often earning higher salaries.

Which Pays More?

While both Java and Python developers can earn competitive salaries, Python developers often see higher demand and salaries in specialized fields like data science and machine learning. However, Java developers are still in demand in enterprise development and backend systems, where their expertise can lead to well-compensated positions.

Ultimately, the salary you can expect to earn in either language will depend on your skills, experience, location, and the industry you work in.

Difference between Java, Python, and C++

Java, Python, and C++ are three distinct programming languages, each with its unique characteristics and use cases. Understanding the differences between these languages can help developers choose the right tool for the job.


Key Features

  • Compiled Language: Java is a compiled language, which means that the source code is compiled into bytecode before execution. It is then executed by the Java Virtual Machine (JVM).
  • Statically Typed: Java enforces static typing, meaning variable types must be declared at the time of variable creation.
  • Strongly Typed: Java is a strongly typed language, which means it enforces strict type checking and does not allow implicit type conversions.
  • Platform Independence: Java is known for its “Write Once, Run Anywhere” (WORA) capability, thanks to the JVM.
  • Object-Oriented: Java is primarily an object-oriented language, and everything in Java is an object.

Use Cases

  • Java is widely used for developing large-scale, high-performance enterprise applications.
  • It is the primary language for Android app development.
  • Java is commonly used in server-side development, web services, and backend systems.


Key Features

  • Interpreted Language: Python is an interpreted language, with code executed line by line by the Python interpreter.
  • Dynamically Typed: Python uses dynamic typing, allowing variables to change their type at runtime.
  • Readable Syntax: Python is known for its clean and readable syntax, which encourages developers to write more expressive code.
  • Versatility: Python is versatile and can be used for web development, data science, machine learning, and more.
  • Large Ecosystem: Python has a vast collection of libraries and frameworks for various domains.

Use Cases

  • Python is popular in data science and machine learning due to libraries like NumPy, pandas, and scikit-learn.
  • It is commonly used for web development, with frameworks like Django and Flask.
  • Python is a popular choice for scripting, automation, and prototyping.


Key Features

  • Compiled Language: C++ is a compiled language, and it produces native machine code.
  • Statically Typed: Like Java, C++ enforces static typing, requiring variable types to be declared.
  • Performance-Oriented: C++ is known for its performance and is often used in systems programming and game development.
  • Manual Memory Management: C++ allows for precise memory management, but it also requires developers to manage memory explicitly.
  • Multi-Paradigm: C++ supports multiple programming paradigms, including procedural, object-oriented, and generic programming.

Use Cases

  • C++ is commonly used in systems programming, operating systems development, and embedded systems.
  • It is favored in game development due to its high performance and access to low-level hardware.


The primary differences between these languages lie in their use cases, performance characteristics, and the level of control they offer to developers:

  • Java is well-suited for enterprise development and Android app development. It provides strong typing and platform independence.
  • Python excels in data science, web development, and scripting. It prioritizes ease of use and readability.
  • C++ is a performance-oriented language used in systems programming, game development, and situations where low-level control over hardware and memory is necessary.

In summary, the choice between Java, Python, and C++ should be driven by the specific requirements of a project and the developer’s familiarity with the language. Each language has its strengths and weaknesses, making it better suited for certain tasks and industries.

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