For working professionals
For fresh graduates
More
Talk to our experts. We are available 7 days a week, 9 AM to 12 AM (midnight)
Indian Nationals
Foreign Nationals
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .
Recommended Programs
6. JDK in Java
7. C++ Vs Java
16. Java If-else
18. Loops in Java
20. For Loop in Java
46. Packages in Java
53. Java Collection
56. Generics In Java
57. Java Interfaces
60. Streams in Java
63. Thread in Java
67. Deadlock in Java
74. Applet in Java
75. Java Swing
76. Java Frameworks
78. JUnit Testing
81. Jar file in Java
82. Java Clean Code
86. Java 8 features
87. String in Java
93. HashMap in Java
98. Enum in Java
101. Hashcode in Java
105. Linked List in Java
109. Array Length in Java
111. Split in java
112. Map In Java
115. HashSet in Java
118. DateFormat in Java
121. Java List Size
122. Java APIs
128. Identifiers in Java
130. Set in Java
132. Try Catch in Java
133. Bubble Sort in Java
135. Queue in Java
142. Jagged Array in Java
144. Java String Format
145. Replace in Java
146. charAt() in Java
147. CompareTo in Java
151. parseInt in Java
153. Abstraction in Java
154. String Input in Java
156. instanceof in Java
157. Math Floor in Java
158. Selection Sort Java
159. int to char in Java
164. Deque in Java
172. Trim in Java
173. RxJava
174. Recursion in Java
175. HashSet Java
177. Square Root in Java
190. Javafx
Making a Python vs. Java comparison is essential when choosing a programming language. While Java excels in enterprise performance and scalability, Python shines in data science, AI, and web development due to its simplicity. The right choice depends on your project goals.
In this tutorial, we'll dive deep into the key differences and similarities between Python and Java to help you make an informed decision for your next project.
Want to turn skills into a career? Learn Python, Machine Learning, and more with upGrad’s job-ready Data Science Courses, built to get you hired faster. Explore now.
Java is a widely recognized, user-friendly programming interface developed by Sun Microsystems in the mid-1990s and is now owned by Oracle. Java’s inter-platform in-dependability makes it highly portable and versatile for developing various applications, including enterprise-level systems, web applications, mobile apps, and Android applications.
Java is like a versatile maestro orchestrating a symphony of software development. It is a language that transcends boundaries, effortlessly bridging the gaps between platforms and devices. With its blend of simplicity and power, Java empowers programmers to craft robust, scalable, and secure applications.
Java promotes the concept of "write once, run anywhere" (WORA), enabling code portability across different operating systems and architectures. Java supports various libraries and frameworks, all catering to different efficiencies, making it suitable for building complex software systems. Java has a strong presence in banking, e-commerce, telecommunications, and other industries.
Level up your data science game with upGrad’s top-rated courses. Get mentored by industry pros, build real skills, and fast-track your path to a standout career.
Here is a simple Java program that will print ‘upGrad teaches Java.’:
public class upGradTutorials {
public static void main(String[] args) {
System.out.println("upGrad teaches Java.");
}
}
In the above Java program, we define a class called upGradTutorials with a main method. Inside the main method, we use System.out.println() to print the string "upGrad teaches Java." to the console.
Java offers several advantages that contribute to its popularity and wide usage:
Also Read: Top 25 Java Web Application Technologies That Every Coder Should Know!
Python is another programming interface, much like Java. It was created in the 1980s by Guido van Rossum. Although a high-level language, Python is popular for its easy readability, user-friendly interface, and simplicity.
The syntax of Python is easy to comprehend, with much of its focus on reducing complexity, thus promoting concise code expression. Python is also a versatile interface that supports multiple programming paradigms, such as procedural, functional, and object-oriented programming.
With its interpreted nature, Python enables rapid development and experimentation, eliminating the need for compilation. Python also has a vast ecosystem of different frameworks and third-party libraries that aid its usefulness in software development, AI, and automation. Its popularity is driven by a strong community, robust documentation, and its ability to handle tasks ranging from small scripts to large-scale projects across diverse industries.
Here is a simple Python program that will print ‘upGrad teaches Python.’:
print("upGrad teaches Python.")
In the above Python program, we use the print() function to print the string directly "upGrad teaches Python." to the console.
Python offers numerous advantages that contribute to its widespread popularity:
Also Read: Python Modules: Explore 20+ Essential Modules and Best Practices
Looking at the Java vs. Python difference, Java's platform independence and robustness set it apart. At the same time, Python's simplicity, versatility, and rich libraries make it a preferred choice for web development, data analysis, and AI tasks.
Parameter | Java | Python |
Use | Enterprise applications, Android development | Web development, data analysis, AI, scripting |
Syntax | C-style syntax with explicit type declarations | Easy-to-read, concise syntax with dynamic typing |
Performance | Generally faster execution speed | Slower execution speed, but quicker development |
Platform | Requires a Java Virtual Machine (JVM) to run | Interpreter-based, runs on various platforms |
Concurrency | Strong support for multithreading and concurrency | Support for multithreading, but with limitations |
Ecosystem | Vast library and framework support | Rich libraries, especially for data analysis |
Community | Large, mature community with extensive resources | Active, supportive community with rich documentation |
Let us develop a program that calculates the sum of two numbers in both Java and Python to understand the difference between the two popular programming languages better. The Java and Python programs will calculate the sum of num1 and num2, which are assigned the values 5 and 7, respectively. The sum is then stored in the variable sum. Finally, the programs output the sum to the console.
public class upGradTutorials {
public static void main(String[] args) {
int num1 = 5;
int num2 = 7;
int sum = num1 + num2;
System.out.println("The sum is: " + sum);
}
}
In the Java program, we define a class called upGradTutorials with a main method. Inside the main method, we declare two integer variables num1 and num2, assign them the values 5 and 7, and calculate the sum using the + operator. Finally, we use System.out.println() to print the sum along with a message to the console.
num1 = 5
num2 = 7
sum = num1 + num2
print("The sum is:", sum)
In the Python program, we assign the values 5 and 7 to the variables num1 and num2, respectively. We calculate the sum using the + operator and store it in the variable sum. Finally, we use the print() function to output the sum and a message to the console.
Both the Java and Python programs will allow users to enter a sentence and a word to search, and it determines whether the word exists in the sentence by performing a case-insensitive comparison.
import java.util.Scanner;
public class upGradTutorials {
public static void main(String[] args) {
Scanner scanner = new Scanner(System.in);
System.out.print("Enter a sentence: ");
String sentence = scanner.nextLine();
System.out.print("Enter a word to search: ");
String word = scanner.next();
boolean found = false;
String[] words = sentence.split("\\s+");
for (String w : words) {
if (w.equalsIgnoreCase(word)) {
found = true;
break;
}
}
System.out.println(found);
}
}
The Java program starts by importing the necessary classes, including Scanner, which allows reading input from the user. It then defines the main method, which serves as the entry point for the program.
Inside the main method, a Scanner object is created to read input from the user. The program prompts the user to enter a sentence and reads it using the nextLine() method, storing the input in the sentence variable.
Next, the program prompts the user to enter a word to search and reads it using the next() method, storing the input in the word variable. A boolean variable found is initialized as false to indicate that the word has not been found yet.
The split() method is then called on the sentence string, using the regular expression "\\s+", which splits the sentence into individual words based on whitespace characters (spaces, tabs, etc.). The resulting words are stored in the words array.
The program uses a for loop to iterate over each word in the words array. Inside the loop, each word is compared to the word being searched using the equalsIgnoreCase() method. This method performs a case-insensitive comparison between two strings.
If a match is found, the found flag is set to true and the loop is terminated using the break statement. Otherwise, the loop continues until all words have been checked. Finally, the program prints the value of the found variable, which will be true if the word was found in the sentence, and false otherwise.
Also Read: Career Opportunities in Python: Everything You Need To Know [2025]
sentence = input("Enter a sentence: ")
word = input("Enter a word to search: ")
found = False
words = sentence.split()
for w in words:
if w.lower() == word.lower():
found = True
break
print(found)
The Python program begins by prompting the user to enter a sentence using the input() function, and the input is stored in the sentence variable as a string. Next, the program prompts the user to enter a word to search, and the input is again stored in the word variable as a string.
A boolean variable found is initialized as False to indicate that the word has not been found yet. The program uses the split() method on the sentence string without arguments. This splits the sentence into words by splitting at whitespace characters (spaces, tabs, etc.). The resulting words are stored in the words list.
A for loop is used to iterate over each word in the words list. In the loop, each word is compared to the word being searched using the lower() method. This method converts both the word from the sentence and the word being searched to lowercase, allowing a case-insensitive comparison.
If a match is found, the found flag is set to True, and the loop is terminated using the break statement. Otherwise, the loop continues until all words have been checked. Finally, the program prints the value of the found variable using the print() function. It will output True if the word was found in the sentence and False otherwise.
Both Java and Python are powerful languages with robust communities and extensive libraries. The key difference in the Python vs. Java debate is the trade-off between performance and development speed. Java is ideal for high-performance, large-scale enterprise applications, while Python's simplicity and vast ecosystem make it perfect for rapid development, data science, and AI. The best choice depends on your project goals.
Both languages are well-suited for web development, but Python's ease of use, rich frameworks like Django and Flask, and strong libraries for tasks like web scraping give it an edge in this domain. Java, with its Spring framework, is a powerful choice for large, enterprise-level applications where scalability and robust performance are critical. For simple websites or rapid prototyping, the straightforward syntax of Python often makes it the preferred choice. The Python vs. Java debate for web development often comes down to the scale and complexity of the project.
Python is widely preferred for data analysis and is a clear winner in the Python vs. Java comparison for this field. Its extensive libraries like NumPy, Pandas, and Matplotlib are specifically designed to streamline data manipulation, statistical analysis, and visualization. While Java has powerful big data frameworks like Apache Spark, Python's ecosystem provides a more specialized and user-friendly toolset for data professionals, making it the de-facto standard.
Yes, Java and Python can be integrated. One common method is using Jython, which is an implementation of the Python language that runs on the Java Virtual Machine (JVM). This allows Python code to seamlessly interact with Java libraries and objects, enabling developers to combine the strengths of both languages within a single application. This interoperability is a key aspect of the Python vs. Java dynamic in complex system architectures.
While Python is used in specific parts of Netflix's infrastructure for tasks like data analysis, automation, and machine learning, Java is the primary programming language for building the core, mission-critical components of the Netflix streaming service. Netflix employs a microservices architecture, with different services written in various programming languages to leverage their respective strengths. However, Java remains the predominant language for developing Netflix's platform, and this use case is a great example of the practical considerations in a Python vs. Java discussion.
Java salaries are often high due to several factors. Java is a widely used programming language in enterprise-level applications for finance, banking, and e-commerce, which creates a high demand for skilled developers. According to upGrad's analysis, the average salary for Java developers in India can be substantial, reflecting the market demand, the complexity of Java projects, and the experience required for senior roles. The maturity of the Java ecosystem also means there's a constant need for maintenance and new feature development on existing systems.
Generally, Java is faster than Python. Java is a compiled language, meaning its code is converted into machine-readable bytecode before execution, which allows for better performance. Python is an interpreted language, which means it runs code line by line, a process that can be slower. However, for most modern applications, the performance difference is not noticeable to the end-user, and Python's faster development time often outweighs Java's speed advantage in the Python vs. Java comparison.
Python is widely considered easier to learn for beginners than Java. Its syntax is simpler and closer to natural language, and it requires fewer lines of code to perform a task. Java has a more verbose syntax and requires a solid understanding of concepts like static typing and object-oriented programming from the start. For someone new to programming, the simplicity of Python makes the learning curve much less steep, a key point in the Python vs. Java debate for new developers.
Java has historically been the standard for Android mobile app development, and it remains a core language for building native Android applications. While Python isn't a primary choice for mobile due to a lack of built-in mobile development capabilities, frameworks like Kivy and BeeWare do exist to create cross-platform mobile apps. However, for serious mobile projects, the Python vs. Java choice heavily favors Java for its robust ecosystem and native support on the Android platform.
Python is the undisputed leader in machine learning (ML) and a crucial part of the Python vs. Java discussion for this field. Its simplicity, combined with a vast and mature ecosystem of libraries like TensorFlow, PyTorch, and scikit-learn, makes it the preferred language for data scientists and ML engineers. While Java has ML libraries, Python's community and specialized tools make it far more accessible and powerful for building and deploying machine learning models.
Both languages offer excellent career opportunities, but in different domains. Java jobs are abundant in large enterprises, finance, and backend development for legacy and new systems. Python jobs have seen a surge in demand, particularly in high-growth fields like data science, artificial intelligence, and automation. A comparison of Python vs. Java jobs shows that Java offers stable, high-paying roles in established industries, while Python provides a path to cutting-edge, innovation-driven roles.
Java is generally considered more secure than Python. Its static typing and compile-time error checking help catch potential security vulnerabilities before the application runs. Additionally, the Java Virtual Machine (JVM) provides a sandbox environment that protects the underlying system from malicious code. While Python is not inherently insecure, its dynamic nature and the greater prevalence of runtime errors can make it more susceptible to certain types of bugs and security issues.
Both languages are used for Big Data, but their roles differ. Java is highly valued for building the core, high-performance, and scalable components of big data systems, with frameworks like Hadoop and Apache Spark being written in Java. Python, however, is the go-to language for the data analysis part of the big data pipeline. Its simplicity and extensive libraries like Pandas and Dask make it easier for data scientists to process, analyze, and visualize large datasets. In the Python vs. Java big data debate, Java builds the engine, and Python drives the analytics.
The syntax of Python is known for being clean, simple, and readable, often using indentation instead of curly braces to define code blocks. Java's syntax is more verbose, requiring semicolons at the end of each statement and curly braces to define code blocks and methods. This difference in syntax is a primary reason why Python is easier to learn and write, making it a key point in the Python vs. Java comparison.
Java is a versatile language with a wide range of applications. It is a dominant force in enterprise software development, particularly for building large, scalable backend systems. Java is also the foundational language for native Android app development, and it is widely used for creating desktop applications, big data technologies (like Hadoop), and a variety of other mission-critical systems where reliability and performance are essential.
Python is known for its versatility and is a top choice for a variety of modern applications. Its primary uses include web development (with frameworks like Django), data science and machine learning (with libraries like Pandas and TensorFlow), and scripting for automation. Python is also popular in academic research, scientific computing, and developing desktop applications. Its ease of use and rich ecosystem make it a go-to for rapid prototyping and solving complex problems with minimal code.
For serious game development, neither language is the top choice, as most major games are built using C++ for performance. However, in a direct Python vs. Java comparison for game development, Java has an edge. Its performance capabilities and the use of the JVM for cross-platform compatibility make it suitable for certain types of games, particularly on Android. Python, with libraries like Pygame, is primarily used for small, indie games or for educational purposes.
Python is a dynamically typed language. This means that you do not need to declare the data type of a variable when you define it. The type is checked at runtime. For example, you can write x = 5 and then later x = "hello" without any issues. This dynamic typing contributes to Python's simplicity and speed of development.
Java is a statically typed language. This means that you must declare the data type of a variable before you use it, and this type cannot be changed later. For example, you must declare int x = 5;. The compiler performs type checking at compile time, which helps prevent type-related errors and is one of the reasons Java applications are considered more robust and less prone to runtime errors.
Generally, Java applications are more memory-intensive than Python applications. This is because the Java Virtual Machine (JVM) requires a significant amount of memory to run, even for a simple "hello world" program. Python, while less performant, often has a smaller initial memory footprint. However, for complex, large-scale applications, Java's memory management can be more efficient in the long run.
upGrad offers comprehensive programs in both Java and Python, allowing you to explore each language in a structured learning environment. By enrolling in an online program, you can gain hands-on experience and a deeper understanding of each language's strengths and weaknesses. This practical knowledge can help you make an informed decision on which language aligns better with your career goals.
Take the Free Quiz on Java
Answer quick questions and assess your Java knowledge
FREE COURSES
Start Learning For Free
Author|900 articles published