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Python, named for the Monty Python comedy troupe, is an interpreted, object-oriented programming language that's used by multiple big companies. It's often described as easy to learn, but it has advanced uses as well.

Python is a general-purpose, high-level programming language whose design philosophy emphasizes code readability. Python claims to "[combine] remarkable power with the very clear syntax", and its standard library is large and comprehensive. Its use of indentation for block delimiters is unique among popular programming languages. Python supports multiple programming paradigms, primarily but not limited to object-oriented, imperative and, to a lesser extent, functional programming styles. It features a fully dynamic type system and automatic memory management, similar to that of Scheme, Ruby, Perl, and Tcl. Like other dynamic languages, Python is often used as a scripting language but is also used in a wide range of non-scripting contexts. Using third-party tools, Python code can be packaged into standalone executable programs. Python interpreters are available for many operating systems. CPython, the reference implementation of Python, is open source software and has a community-based development model, as do nearly all of its variant implementations. CPython is managed by the non-profit Python Software Foundation.

What is Python used for?

Python is used for all kinds of things, from web development to data science to app development.

Web Development

The Django framework is a leading Python tool for creating web applications. Python's robust syntax and extensive libraries help make it popular among web developers.

Data Science

Python is also a favorite for data science, thanks in no small part to the Pandas library, which makes it easy to manipulate tabular data with powerful analysis tools.

App Development

Python can be used with frameworks like Kivy for mobile app development.

Is Python better than Java?

It would be an overstatement to say that Python is better than Java, because both languages are excellent in their own way.

Java is a statically-typed language, and thus requires that you write code that is more verbose. For example, Python can infer the type of a variable from the value assigned to it, whereas in Java you need to explicitly specify the type of each variable. This can sometimes make it easier to read Python code, as its absence of type declarations means your code will be more concise and less repetitive. Furthermore, Python is an interpreted language: its interpreter runs your script line by line so you can identify bugs more easily than in a compiled language like Java. This makes Python a good choice for rapid application development, as well as for testing and prototyping.

However, Java has some advantages of its own: it's a strongly-typed language, which means that all variables must have their types explicitly declared at compile time. This helps make programs more reliable because they're less likely to have unexpected behavior when they run; if you try using an integer where a string is expected, for example, the compiler will alert you to the error before you run the program. This also makes it easier for other developers to maintain your