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What are the advantages and disadvantages of learning Java over Python?


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Java and Python are two of the most popular programming languages. Of the two, Java is the faster language, but Python is simpler and easier to learn. Each is well-established, platform-independent, and part of a large, supportive community. But that is where the similarities end. When you’re considering Python versus Java, each language has different uses for different purposes, and each has pros and cons to consider.

Advantages of Java

Speed and efficiency are two of the big draws of using Java. It's also one of the coding languages considered to be easy to learn. Because many of the processes of this high-level language run automatically, you won't have to do an intense study of how everything works as much as you would with a low-level language. You should be able to master it relatively quickly depending on how much time you can devote to learning and practicing. Other advantages of using Java include the following:

(1) It's simple: The syntax is straightforward, making it easy to write. It's not as complex as languages like C++, and it uses automatic memory allocation.

(2) It’s platform independent: You can use Java on multiple types of computers, including Windows, iOS, Unix, and Linux systems, as long as it has the Java Virtual Machine (JVM) platform.

(3) It’s object oriented: Because you create classes containing data and functions and objects that belong to those classes, it offers a more intuitive approach for big project development. It also provides flexibility and easier troubleshooting, and the ability to reuse the code.

(4) It has a large global community: This is helpful when you're learning Java or should you run into any problems.

(5) It supports multithreading: When you use Java, you can run more than one thread at a time. When running multiple threads, they share a common memory area to increase efficiency and performance.

(6) It’s secure: Java avoids using explicit pointers, runs inside a virtual machine called a sandbox, uses byte-code verifier to check for illegal code, and provides library-level safety along with Java security package and run-time security checks. 

Disadvantages of Java

Before deciding whether Java is the right programming language for you to start with, it’s essential to consider its weaknesses. One of the main downsides to using Java is that it uses a large amount of memory—considerably more than Python.

Additionally, Java manages its memory through garbage collection, which happens once the application you’re working on no longer references the object. Java’s garbage collector clears it from memory, but during the process, other threads have to stop while the garbage collector works. The step impacts the overall performance of the application. Other disadvantages include:

(1) It doesn’t offer control over garbage collection: As a programmer, you won’t have the ability to control garbage collection using functions like free() or delete().

(2) It has a lot of words: Although Java is simple, it does tend to have a lot of words in it, which will often leave you with complex, lengthy sentences and explanations.

(3) It doesn't have a native look when you use it for desktops: Java has multiple graphical user interface (GUI) builders, but they aren't the best if you're creating complex UI on a desktop. Java is weaker when you're using it for desktop versus mobile when it comes to user experience and user interface. While there are many GUI builders to choose from, you'll need to do a lot of research to find the right one for your project.


Python: The simple path

Although Java is faster, Python is more versatile, easier to read, and has a simpler syntax. According to Stack Overflow, this general use, interpreted language is the fourth most popular coding language.  It's also one of the most in-demand programming languages that hiring managers look for when hiring candidates, according to HackerRank, second only to JavaScript. 

Python's popularity has experienced explosive growth in the past few years, with more than 11.3 million coders choosing to use it, mainly for IoT, data science, and machine learning applications, according to ZDNet. Further, Python has had a 25 percent growth rate, adding 2.3 million developers to its community between Q3 2020 and Q3 2021, according to SlashData's “State of the Developer Nation.”.

Advantages of Python

Python’s versatility is difficult to match, and it's so flexible that it encourages experimentation. This keeps programmers from being pigeonholed into only building one type of application. You can learn just one language and use it to make new and different things.

Computer Weekly calls Python the most versatile programming language, noting that “Although there might be a better solution for any given problem, Python will always get the job done well”. Other advantages of Python include:

(1) It’s platform-independent: Like Java, you can use Python on various platforms, including macOS, Windows, and Linux. You’ll just need an interpreter designed for that platform.

(2) It allows for fast development: Because Python is dynamically typed, it's fast and friendly for development. Additionally, it uses asynchronous code to tackle situations and challenges faster because each unit of code runs separately.

(3) It offers extensive libraries: Its large library supports common tasks and commands. It also contains code that can be used for many different purposes, ranging from generating documentation to unit testing to CGI.

(4) It offers a more flexible approach to programming: Python supports a variety of programming styles and has multiple paradigms. Not only is this optimal for programmers who enjoy flexibility, but it also makes it ideal for start-ups that might need to shift approaches abruptly.

(5) It's free and open-source: You can download Python without any cost, and because it's so easy to learn and boasts one of the largest and most active communities—you should be able to start writing code in mere minutes.

(6) It may boost productivity: NetGuru says that Python is more productive than Java because of how concise it is and because it's dynamically typed. Additionally, it has control capabilities and integration features that can make applications more productive.

Disadvantages of Python

While Python is arguably one of the easiest and fastest languages to learn, it’s also decidedly slower to execute because it’s a dynamically typed, interpreted language, executed line-by-line. Python does extra work while executing the code, making it less suitable for use in projects that depend on speed. However, if speed isn’t a sensitive issue, Python’s slower nature won’t likely be a problem.

Other potential disadvantages include:

(1) It only executes one thread at a time: Python has a Global Interpreter Lock that only lets one thread execute at a time, so if you're working on a multi-threaded CPU-bound program, it'll likely be even slower. Using multiprocessing programs instead of multithreaded programs can be an effective workaround.

(2) It isn't mobile native: Python can be effectively and easily used for mobile purposes, but you'll need to put a bit more effort into finding libraries that give you the necessary framework. Some examples include Kivy, which lets you use the same API to create mobile apps and software that you can run on Raspberry PI, Linux, and Windows.

(3) It uses a large amount of memory: If you're working on a project where many objects are active in RAM, this could present an issue for you. Switching to NumPy could be an effective workaround to reduce the amount of memory Python uses for each object.