Python vs. Java: Which Language is the Best Coding Companion?

Python vs. Java: Which Language is the Best Coding Companion? | Data Science | Emeritus

It is no secret that coding has become increasingly popular among individuals as technology proliferates across India. They are eager to make a mark in the world of programming but often find themselves in a dilemma. The decision of choosing the right programming language is not straightforward, especially if the choice is between Python and Java. They are both popular with their strengths and weaknesses. 

Nearly 51% of developers worldwide use Python, whereas 30.3% use Java, according to Stack Overflow’s 2024 Developer Survey. In short, it isn’t easy to pick a winner in the Python vs Java debate. So, let’s understand the core differences between these languages to decide who will emerge on top.



What is Python?

It is important to understand the two programming languages before we proceed to adjudicate on Python vs Java. Released by Guido van Rossum in 1991, Python is a high-level, interpreted programming language known for its simplicity and readability. A developer can express concepts in fewer lines of code in Python compared to other languages. As a result, it is favored by beginners and professionals alike.

1. Key Features

A. Simple and Readable Syntax

Python’s syntax is easy to understand, making it ideal for beginners. The code is more readable due to the use of indentation over braces.

B. Interpreted Language

Python enables quick testing and debugging because it is executed line by line. It can also run on any platform (Windows or Mac) without modifications.

C. Extensive Standard Library

Python boasts of a rich standard library that supports everything from file handling to data analysis. Moreover, developers can access resources thanks to its large community.

D. Object-Oriented and Functional Programming

Python supports both object-oriented programming and functional programming paradigms, giving developers flexibility in how they structure their code.

2. Use Cases

A. Web Development

Many developers can build scalable and secure web applications quickly with the help of Python frameworks such as Django and Flask.

B. Data Science

Most data scientists use Python largely because of libraries such as Pandas, NumPy, and SciPy and frameworks such as TensorFlow and PyTorch.

C. Automation and Scripting

It is ideal for writing scripts to automate repetitive tasks, whether managing files, parsing data, or interacting with web APIs.

D. Software Development

Many software applications are built on Python, particularly in areas such as game development and GUI-based applications.

ALSO READ: The Top 20 Python Libraries Every Data Professional Should Know

What is Java?

Now that we have insight into the first contender in the Python vs Java face-off, let’s take a look at Java. Also a high-level, class-based, object-oriented programming language like Python, Java was founded by James Gosling.

1. Key Features

A. Platform Independence

Java’s hallmark feature is its “write once, run anywhere” capability. In other words, a developer can run Java code on any device by installing a Java Virtual Machine (JVM).

B. Object-Oriented

Java exhibits the concept of objects, making the code modular, reusable, and easier to maintain subsequently.

C. Secure & Robust

Java incorporates strong memory management and exception-handling mechanisms to prevent errors. It also has security features to protect against viruses and malicious code.

D. Multithreading

Java allows multiple threads to execute independently. It improves the responsiveness of applications consequently.

2. Use Cases

A. Enterprise Applications

Many use Java for developing complex, scalable enterprise systems due to its robustness, security, and platform independence.

B. Android App Development

Java is the primary language for creating Android apps even though Kotlin is fast gaining traction of late.

C. Big Data Technologies

Java plays a role in big data processing with frameworks such as Hadoop and Spark.

D. Embedded Systems

Java is used in smart cards, set-top boxes, and IoT devices because of its small footprint and lack of storage space.

ALSO WATCH: What is Data Science & its Importance | Data Science & Analytics Jobs | Kapil Mahajan | Emeritus

Python vs Java: Pros & Cons

The Python vs Java contest ultimately boils down to the advantages and disadvantages of each language and how they fit your project or career goals. Let’s take a look:

1. Python

A. Pros

  • Easy to understand due to concise code 
  • Offers faster development cycles
  • Possess a vast array of libraries and frameworks as well as a large and active community, that provides regular support and updates
  • Demonstrates versatility with use cases across various domains
  • Runs on any operating system with a Python interpreter

B. Cons

  • Generally slower than compiled languages such as Java
  • It is not ideal for performance-critical applications such as real-time systems or applications requiring extensive computation
  • Limited support for mobile app development
  • Higher memory consumption because of dynamic typing and memory management
  • Weak in multithreading on account of global interpreter lock

2. Java

A. Pros

  • Faster execution than other languages because Java is a compiled language
  • Reduces the risk of memory leaks with its garbage collection process
  • Fewer errors at compile time because of its statically typed nature 
  • Handy in large-scale enterprise applications due to its robust performance
  • Supports app development on Android

B. Cons

  • Verbose syntax results in complex code that is inaccessible to beginners
  • Slows down the development process because of the complexity 
  • Requires manual tuning despite an efficient garbage collection
  • Less flexible in terms of dynamic programming features compared to Python

ALSO READ: Java Programming Language Explained: Everything You Need to Know

Python vs Java: Which One is Better?

Now that we have examined Python and Java in detail, it is time to summarize our findings in a table consisting of key differences. Here’s how it shapes up:

FeaturePythonJava
TypingDynamicStatic
SyntaxReadable, conciseVerbose, structured
SpeedUsually slower compared to the restFaster with the help of compilation
Memory ManagementAutomatic garbage collectionManual memory management
Use CasesData science, machine learning, web development, scriptingEnterprise applications, android development, and embedded systems

Making the Right Decision

It should be evident by now that there is no clear winner in Python vs Java. The choice significantly depends on your specific project requirements and goals. 

A. Choose Python if:

  • You are new to programming and want a quick learning curve
  • Your project involves data analysis, machine learning, or rapid prototyping
  • You prioritize code readability and maintainability

B. Choose Java if:

  • You’re building large-scale enterprise applications that require reliability
  • You need platform independence
  • You prioritize strong typing and object-oriented programming
  • You’re developing Android apps

ALSO READ: Is Coding a Good Career and Will it Stay Relevant in the Future?

Begin Your Coding Journey

The first step in your coding journey is to choose the right language. Now that it is out of the way, here’s how you can devise the right approach:

1. Choose Your Path

A newcomer can choose from multiple options, such as web development or cybersecurity.

2. Learn the Basics

It is important to understand programming concepts such as variables, data types, and functions besides writing code regularly.

3. Experiment With Projects

A developer needs to start practicing by creating small projects and sharing your work to get feedback.

4. Join a Community

It is crucial to leverage online forums, coding communities, and conferences to learn from experienced programmers.

5. Leverage Resources

There are many resources available online. A coder can sign up for courses on platforms like Emeritus. Furthermore, you can rely on coding boot camps and contribute to open projects.

Build Your Career With Emeritus

Coding is undoubtedly the future of technology. Most businesses will seek to hire developers to build applications. A professional will need to upskill in order to stay relevant. Several data science courses at Emeritus are designed to help professionals like you. These courses are tailored to your needs. They will equip you with skills in high demand by major companies. The curriculum is designed by experts with real-world experience. Sign up for one of these courses and prepare to transform your career with Emeritus.

Write to us at content@emeritus.org

About the Author

Content Writer, Emeritus Blog
Mitaksh has an extensive background in journalism, focusing on various beats, including technology, education, and the environment, spanning over six years. He has previously actively monitored telecom, crypto, and online streaming developments for a notable news website. In his leisure time, you can often find Mitaksh at his local theatre, indulging in a multitude of movies.
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