What is Python?
Python is a dynamically semantic, interpreted, object-oriented, and high-level programming language. It's a built-in data structure with dynamic binding and dynamic typing at a high level. It serves as a scripting or glue language for connecting existing components and for creating the Rapid Application. It has a simple, easy-to-understand syntax that emphasizes readability, lowering software maintenance costs. It supports modules and packages and allowing programs to be more modular and reusable. The Python interpreter and robust standard library are free to use and distribute in source or binary form for all major platforms.
It was first developed in the late 1980s by Guido van Rossum and released in 1991. It is an advanced open-source programming language by facilitating public debate via Python Enhancement Proposals (PEPs).
Advantages and Disadvantages of Python
Various advantages and disadvantages of Python are as follows:
- It is an object-oriented programming language that is used to develop rapid applications.
- Its syntax is very simple as compared to Java, C, and C++.
- It runs on several types of operating systems and computers, like Windows, macOS, and Linux.
- It has its auto-installed shell.
- It has an extensive library and handy tools for the developers.
- It comes with various prebuilt libraries that make our development task very easy.
- It has an interactive shell that allows us to evaluate items before they are implemented.
- It comes with a huge standard library to support a wide range of common programming tasks.
- It is only used on a few platforms.
- It is weak in mobile computing, so it is not used in app development.
- It has no commercial support.
- It is an under-developed and primitive database access layer.
- Since Python is dynamic, it generates more errors during execution.
- It is an open-source project.
- It allows cross-compilation.
- It supports interfaces, modules, and classes.
- It is used both on the client-side and the server-side.
- It allows us to build interfaces that react whenever the user hovers the mouse over them.
- It may run in any browser.
- It cannot be used to develop networking applications as there is no support for networking apps.
- It only supports the single inheritance, not multiple inheritances. Some programs might be required this object-oriented language feature.
- Python supports a wide range of numerical data types, including int, float, and fixed-point decimal, while Java-Script mostly deals with floating-point variables.
||By default, the source code of Python is ASCII unless we define an encoding format.
||If a function is called with invalid parameters, Python will throw an exception and accept any extra parameter passing syntax.
||Java-Script doesn't care if functions aren't called with exact parameters because any missing parameter is treated as "undefined" by default, and any extra arguments are treated as special arguments.
|Properties and Attributes
||We can use getter and setter functions to define an attribute in Python using the descriptor protocol.
||We'll get it when we install Python, and we'll use different Python versions depending on our setup.
||Since Java-Script was mainly used in browsers, we didn't have an in-built REPL. However, we may use the REPL by installing the node.js.
||In Python, we may use various numeric types such as int, fixed-point decimal, float, and many others.
||In contrast, Java-Script only supports floating-point numbers.
||Python has both mutable and immutable data types, including set and list.
||It has built-in hash tables like dictionaries, collections, and others that may be used to store keys and values in a hash.
||There is no built-in support for hash tables.
||It has an inbuilt array type.
||Python refers to itself as a battery-included language since it comes with a large number of modules.
||It uses indentation.
||It uses curly brackets.
||It uses a class-based inheritance model.
||It uses a prototype-based inheritance model.
||Python is a better option for math-intensive operations, data analytics, and machine learning.
||It is not a reasonable option for designing mobile apps.
||It is a good choice for mobile development in addition to front-end and back-end development.
||Python's first argument for each approach is a self-argument.