1.Easy
Easy to code :
Python is extremely easy to code. Compared to other popular languages like Java and C++, it’s easier to code in Python. Anyone can learn Python syntax in only a couple of hours. Though sure, mastering Python requires learning about all its advanced concepts and packages and modules. That takes time. Thus, it’s programmer-friendly language.
Easy to read :
Being a application-oriented language, Python code is sort of like English. looking at it, you’ll tell what the code is meant to try and do. Also, since it’s dynamically-typed, it mandates indentation. This aids readability.
2. Expressive
First, let’s study expressiveness. Suppose we have two languages A and B, and every one programs which will be made in B using local transformations. However, there are some programs which will be made in B, but not during a, using local transformations. Then, B is claimed to be more expressive than A. Python provides us with a myriad of constructs that help us specialize in the answer instead of on the syntax. this can be one among the outstanding python features that tell you why you should learn Python.
3. Free and Open Source
Firstly, Python is freely available. you’ll download it from the Python Website. Secondly, it’s open-source. this suggests that its source code is out there to the general public. you’ll download it, change it, use it, and distribute it. this can be called FLOSS(Free/library and Open Source Software). because the Python community, we’re all headed toward one goal- an ever-bettering Python.
4. High-Level
It’s a application-oriented language. this suggests that as programmers, we don’t need to remember the system architecture. Nor can we need to manage the memory. This makes it more programmer-friendly and is one among the key python features.
5. Portable
Let’s assume you’ve written a Python code for your Windows machine. Now, if you would like to run it on a Mac, you don’t need to make changes to that for an equivalent. In other words, you’ll take one code and run it on any machine, there’s no need to write different code for various machines. This makes Python a transportable language. However, you want to avoid any system-dependent features during this case.
6. Interpreted
If you’re aware of any languages like C++ or Java, you want to first compile it, then run it. But in Python, there’s no need to compile it. Internally, its source code is converted into an instantaneous form called byte code. So, all you would like to try and do is to run your Python code without fear about linking to libraries, and many other things. By interpreted, we mean the source code is executed line by line, and not all directly. due to this, it’s easier to debug your code. Also, interpreting makes it just slightly slower than Java, but that doesn’t matter compared to the advantages it’s to supply.
7. Object-Oriented
A programming language which will model the real world is claimed to be object-oriented. It focuses on objects and combines data and functions. Contrarily, a procedure-oriented language revolves around functions, which are code that may be reused. Python supports both procedure-oriented and object-oriented programming which is one among the key python features. It also supports multiple inheritances, unlike Java. a category may be a blueprint for such an object. it’s an abstract data type and holds no values.
8. Extensible
If needed, you’ll write a number of your Python code in other languages like C++. This makes Python an extensible language, meaning that it can be extended to other languages.
9. Large Standard Library
A software isn’t user-friendly until its GUI is formed. A user can easily interact with the software with a GUI. Python offers various libraries for creating Graphical interface for your applications. For this, you’ll use Tkinter, wxPython or JPython. These toolkits allow you for straightforward and fast development of GUI.
10. Dynamically Typed
Python is dynamically-typed. this suggests that the sort for a worth is set at run-time, not before. this is why we don’t need to specify the sort of knowledge while declaring it.
Mr. Bigdata 