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Java vs Python

Who will Win Java vs Python?

Who will Win Java vs Python?

There are so many programming languages out there that it can be a bit overwhelming to know which is right for your project and picking the right language is crucial for getting the best performance in the least amount of time so I will compare and contrast the two most popular languages Python and JavaScript and will explain which situations best aligned with each. JavaScript has rated the most popular developer language in 2019. There are many packages and frameworks built on top of JavaScript and some of the most popular are react, view, angular, and nodejs to name a few. Python is also one of the top 5 programming languages and it’s the fastest-growing major language in the world right now while python has been growing steadily for twenty years or so. It is actually experienced exponential growth in the past 5 years because that has been adopted as the primary language for machine learning and data science. JavaScript and Python have some similarities in their language specifics but there are significant variations in the core use cases of the two programming languages. Let’s start with JavaScript.

Java vs Python

JavaScript

The first thing to know is that JavaScript is not the same as Java. Java is a general-purpose scripting language while JavaScript is a high-level client-side scripting language used to make websites interactive for example: when we access a web page the HTML and JavaScript that make up the page are sent to our computers and run via the web browser. JavaScript is weakly typed which means that implicit type conversions are allowed for instance when you define an integer variable and add a string to it the result is converted to a string also Java scripts coding Signet acts is considered C style in other words the syntax of the if statements for loops and other aspects are based on C and C++ as the syntax for the same operations if you’re not already familiar with C or C++ JavaScript will have a steeper learning curve. The main use of JavaScript is how easily interacts with HTML through the document object, model, or Dom if you’re not familiar with the Dom it’s a system for representing the HTML file structure of a web page this means that all the parts of a web page are linked together in a tree-like structure so they can be easily referenced and altered using a scripting language like JavaScript. Now that you have a better idea of how JavaScript is used. Let’s look at Python.

Java vs Python

Python

Python is a general-purpose server-side programming language it does the behind-the-scenes work for a website. Most websites will use a server-side programming language for some tasks but it isn’t in central to load a page whereas JavaScript and HTML are necessary when a visitor signs in to a website the website keeps track of the username and password by often using a server-side programming language like Python the language is used to store and retrieve user credentials from the database that they’re kept in and if a website uses Python as its server-side language the chances are that the Django package is being used that’s because Django is one of the most popular server-side web frameworks for Python, unlike JavaScript Python, is considered to be strongly typed so if I were to try to do this same example in JavaScript adding a string to an integer the Python interpreter would actually throw an error I would have to explicitly convert the integer into a string and then I could add the two together to achieve the same result. Python also has a different coding syntax one noticeable difference is that instead of relying on brackets like the C style of JavaScript Python uses indentation to group the coding blocks. Python syntax is generally more intuitive and really user-friendly than JavaScript, especially for a new programmer. Also important to note that Python separates itself from other server-side programming languages because it’s very easy to use and powerful in analyzing data, this is why it’s been a go-to language for fields like machine learning data science and other math and analytics heavy fields popular machine learning packages like PyTorch and scikit-learn are all for python plus you have probably heard of popular numeric packages like pandas, NumPy, and matplotlib.

Now you should have a better idea of how these two languages differ and in what areas you should be using. If you have questions I want to suggest something to explore with this content, add a comment below, or contact us.

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