Top 5 features of Python

It’s Object-Oriented

Python is an object-oriented language, from the ground up. Its class model supports advanced notions such as polymorphism, operator overloading, and multiple inheritance; yet, in the context of Python’s simple syntax and typing, OOP is remarkably easy
to apply.

In fact, if you don’t understand these terms, you’ll find they are much easier to learn with Python than with just about any other OOP language available.

Besides serving as a powerful code structuring and reuse device, Python’s OOP nature
makes it ideal as a scripting tool for object-oriented systems languages such as C++
and Java.

For example, with the appropriate glue code, Python programs can subclass
(specialize) classes implemented in C++, Java, and C#.

Of equal significance, OOP is an option in Python; you can go far without having to
become an object guru all at once. Much like C++, Python supports both procedural
and object-oriented programming modes.

Its object-oriented tools can be applied if and when constraints allow. This is especially useful in tactical development modes, which preclude design phases.

It’s Free

Python is completely free to use and distribute. As with other open source software, such as Tcl, Perl, Linux, and Apache, you can fetch the entire Python system’s source code for free on the Internet.

There are no restrictions on copying it, embedding it in your systems, or shipping it with your products. In fact, you can even sell Python’s source code, if you are so inclined.

Moreover, because Python comes with complete source code, it empowers developers, leading to the creation of a large team of implementation experts. Although studying or changing a programming language’s implementation isn’t everyone’s idea of fun, it’s comforting to know that you can do so if you need to.

You’re not dependent on the whims of a commercial vendor; the ultimate documentation source is at your disposal.

It’s Powerful

Python is something of a hybrid. Its toolset places it between traditional scripting languages (such as Tcl, Scheme, and Perl) and systems development languages (such as C, C++, and Java).

Python provides all the simplicity and ease of use of a scripting language, along with more advanced software-engineering tools typically found in compiled languages. Unlike some scripting languages, this combination makes Python useful for large-scale development projects.

Python’s toolbox:

  • Automatic memory management

Python automatically allocates objects and reclaims (“garbage collects”) them when they are no longer used, and most can grow and shrink on demand. As you’ll learn, Python keeps track of low-level memory details so you don’t have to.

  • Programming-in-the-large support

For building larger systems, Python includes tools such as modules, classes, and exceptions. These tools allow you to organize systems into components, use OOP to reuse and customize code, and handle events and errors gracefully.

  • Built-in object types

Python provides commonly used data structures such as lists, dictionaries, and strings as intrinsic parts of the language; as you’ll see, they’re both flexible and easy to use. For instance, built-in objects can grow and shrink on demand, can be arbitrarily nested to represent complex information, and more.

  • Built-in tools

To process all those object types, Python comes with powerful and standard operations, including concatenation (joining collections), slicing (extracting sections), sorting, mapping, and more.

  • Library utilities

For more specific tasks, Python also comes with a large collection of precoded
library tools that support everything from regular expression matching to networking. Once you learn the language itself, Python’s library tools are where much
of the application-level action occurs.

Despite the array of tools in Python, it retains a remarkably simple syntax and design.
The result is a powerful programming tool with all the usability of a scripting language.

It’s Easy to Use

To run a Python program, you simply type it and run it. There are no intermediate compile and link steps, like there are for languages such as C or C++. Python executes programs immediately, which makes for an interactive programming experience and rapid turnaround after program changes—in many cases, you can witness the effect of a program change as fast as you can type it.

Of course, development cycle turnaround is only one aspect of Python’s ease of use. It
also provides a deliberately simple syntax and powerful built-in tools.

In fact, some have gone so far as to call Python “executable pseudocode.” Because it eliminates much of the complexity in other tools, Python programs are simpler, smaller, and more flexible than equivalent programs in languages like C, C++, and Java.

It’s Easy to Learn

compared to other programming languages, the core Python language is remarkably easy to learn. In fact, you can expect to be coding significant Python programs in a matter of days (or perhaps in just hours, if you’re already an experienced programmer).

That’s good news for professional developers seeking to learn the language to use on the job, as well as for end users of systems that expose a Python layer for customization or control.

Today, many systems rely on the fact that end users can quickly learn enough Python
to tailor their Python customizations’ code onsite, with little or no support.

Although Python does have advanced programming tools, its core language will still seem simple to beginners and gurus alike.

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