Thursday, October 19, 2017

Python Vs Java which is best for Project

One of the most frequently asked question is should I learn Java or Python, Is Python is good programming language to start with, Which programming language would you recommend for beginners to learn first etc.Python and Java are two very different programming languages, but both can be useful tools for modern developers.

Most programmers agree that Python is an easier language for novice programmers to learn. You will progress faster if you are learning Python as a first language than Java. However, the popularity of Java means that learning this powerful language is essential if you want to develop apps for Android.

The great advantage of Java is that it can be used to create platform-independent applications. Any computer or mobile device that is able to run the Java virtual machine can run a Java application, whereas to run Python programs you need a compiler that can turn Python code into code that your particular operating system can understand. Thanks to the popularity of Java for web applications and simple desktop programs, most devices already have the Java virtual machine installed, so a Java programmer can be confident that their application will be usable by almost all users. The disadvantage of running inside a virtual machine is that Java programs run more slowly than Python programs.

One of the biggest differences between Python and Java is the way that each language handles variables. Java forces you to define the type of a variable when you first declare it and will not allow you to change the type later in the program. This is known as static typing. In contrast, Python uses dynamic typing, which allows you to change the type of a variable, by replacing an integer with a string, for example.

Dynamic typing is easier for the novice programmer to get to grips with, because it means you can just use your variables as you want to without worrying too much about their types. However, many developers would argue that static typing reduces the risk of undetected errors plaguing your program. When variables do not need to be explicitly declared before you use them, it is easy to misspell a variable name and accidentally create a whole new variable.

java’s speed allows it to outperform other languages and frameworks, which is a big part of why it’s so well suited to large-scale applications. These performance gains are what prompted Twitter to shift its search engine to Java from Ruby on Rails and move more of its back-end stack to the Java Virtual Machine.

Another key component of Java is that it comes as close to being 100% object-oriented as you can get. With that comes all the benefits of object-oriented programming, from ease of development to modular software to flexibility and extensibility. As one of the most widely known programming languages, it’s easy to find and hire talented developers. What’s more, Java’s massive community of developers means that there’s lots of excellent documentation around.

Like Java, Python is built to handle high-traffic sites. It’s fast and efficient, with an emphasis on code readability. Python’s motto is “there should be one—and preferably only one—obvious way to do it.” That can mean there’s a bit of a learning curve as developers learn the ins and outs of Python syntax, but the upside is an ability to express concepts with fewer lines of code than would be possible in languages like C++ or Java.

Python’s other great strength is an extensive set of libraries that allow it to perform a wide array of tasks. In particular, the libraries NumPy and matplotlib enable Python to perform many of the analysis and plotting functionalities of MATLAB. These libraries have since been built upon by a number of other libraries that extend Python’s functionality even further.




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