Writing Assignment #5 -- Resume and Cover Letter with Summary of PARC This assignment will be submitted to Turnitin Instructions: Please see the attachment. Thank you

5

Comparative Analysis Between Python and Java

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1. Python

Python is an interpreted, object-oriented and high-level programming that is commonly known for simplicity and readability. Python programming is more popular comparing to most of the programming languages due to its flexibility and ease of use. This made it a perfect language for most of the beginners and experienced developers. (Kong et al., 2020)

Advantages of python programming

1. Readability: Python’s syntax is clear and concise as it plain English is used, making it easier to read and understand. The readability of the program allows programmers to collaborate thus reducing program maintenance costs.

2. Versatility: Python programming supports both object-oriented and functional programming styles making it possible for it to be used in various domains such as web development, automation, and data science.

3. Community support: Python programming has a large and active community of developers who play a major role in creating libraries and frameworks. This makes it easier to solve complex problems and develop programs.

4. Large standard library: Python programming is designed with a comprehensive standard library that provides modules and functions for various tasks, eliminating the need to write a program from the beginning.

5. Interpreted language: Python interpretation capability allows rapid testing and prototyping, which facilitates quick experimentation during the development process.

Disadvantages of Python

1. Performance: Python is generally slower when compared to other languages, such as C++ and Java, due to its interpreted nature. This is likely to lead to drawbacks such as performance in the organization.

2. Global Interpreter Lock (GIL): Python’s Global interpretation lock limits its ability to use multicore processers in computers, which is likely to have performance issues in multithreaded applications.

1. Java

Java is a multi-platform, high-level, and object-oriented programming language that is commonly known for its independence and robustness. Java is commonly used to develop mobile applications and business applications. Java was released in 1995 by James Gosling, and it provided interactivity to applications making it an essential tool for application development. (Khoirom et al., 2020)

Advantages of Java

1. Platform independence: Java programs run on all devices that have Java Virtual Machine(JVM) installed, regardless of the operating system or the hardware used.

2. Robustness: Java has strong memory management capabilities, which makes it suitable for developing large-scale, mission-critical applications that require reliability and stability.

3. Rich ecosystem: Java is known for its ecosystems, such as libraries, frameworks, and tools that support various development tasks, such as enterprise application development.

4. Multithreading support: Java supports multithreading in multicore processors, allowing developers to use it to create scalable applications with great performance.

5. Security: Java is built with several security features, such as bytecode verification and sandboxing which prevent malicious codes from causing harm to the computers. This makes Java programming to be a great choice when it comes to developing applications that are secure.

Disadvantages of Java

1. Memory consumption: Java applications consume more memory compared to C and C++ applications, which is a resource constraint when developing applications for mobile devices.

2. Slow startup time: Applications developed in Java take longer to start when compared to applications such as Python due to its Java Virtual Machine technology.

3. Verbosity: Java codes tend to use more words compared to dynamically typed programs such as Python, resulting in longer development times.

Reference

Khoirom, S., Sonia, M., Laikhuram, B., Laishram, J., & Singh, T. D. (2020). Comparative analysis of Python and Java for beginners. Int. Res. J. Eng. Technol, 7(8), 4384-4407.

Kong, Q., Siauw, T., & Bayen, A. (2020). Python programming and numerical methods: A guide for engineers and scientists. Academic Press.