The developing experts have struggled and stumped in various complicated high-level programming languages. According to their viewpoint, Python is a boon to working effectively with immense benefits. Not only for developers but also for the end-users accessing the product/service developed using Python.
Not only does Google, Inc. annotates the specified features of Python, but most corporates also transform their developing processes to Python.
In this era of automation, human perception transformed into quick outcomes with high accuracy. As you think, we humans cannot deliver and solute lots of huge operations single-handedly. In that case, Python lends a hand to minimize those complex operations with a wide range of key features.
Before delving deeply into its essential features, let’s first examine what Python is. Python was created as an ABC programming language replacement and made initially available as Python 0.9.0 in 1991.
Python is one of the top programming languages of this decade, according to the TIOBE Programming Community Index. Python’s popularity is growing because it is used in booming industries like artificial intelligence, data mining, and numerical computing.
This article will drive you to the crystal view regarding why experts celebrate the code in Python;
- Relish the learning and coding
- Interpreted Language
- Dynamically Typed Language
- Open Source & Free access
- Reliable standard library
- High-Level Programming Language
- Object & Procedure – Oriented language
- Test-Driven Approach
- Platform Independent
- Extensible, Expressive & Embeddable
- Effective GUI support
- Databases Support
- Extensive community assistance
1. Relish the learning and coding:
Developers won’t feel it’s a high-level programming language. Learning Python is easy as pie. A piece of good knowledge of code logic is enough to start as a beginner. Mastering Python with its advanced concepts, packages and modules will take some time.
The syntax is concise. On the other hand, indentation replaced the curly braces, makes easy to read.
2. Interpreted Language:
Python is not the compiler language like most languages, such as C, C++, and Java. It’s the interpreted language in which the instructions are read and then carried out by a different program rather than being directly carried out by the target machine.
There is a package called IDLE (Interactive Development Environment), simply an interpreter with the same structure as Node.js known as REPL (Read Evaluate Print Loop). This IDLE instantly displays the output of one line code at a time. So, when we execute a line of Python code, it reports errors and shows the whole stack trace for the error.
3. Dynamically Typed Language:
Most of the developing experts are familiar with statically typed languages like C and C++, where particularly we have to declare the data type of a variable. Python is a Dynamically Typed Language so that the interpreter will determine the variable’s data type during run-time. For Instance;
In a static language, we need to assign the integer value 5 to the variable called x. The code will be int x=5. In Python, you can simply denote x=5.
4. Open Source & Free access:
It’s an open-source programming language. There are no certain limitations or restrictions to installing it on any system. It can be downloaded from Python’s official website.
5. Reliable standard library:
Python possesses huge standard libraries, allowing developers only to include some fine details via code. Instead, they have libraries to access according to their needs.
For instance, it possesses library functions for image manipulation, databases, unit-testing, and many other functionalities. In addition, Python offers (Python Package Index), which has a wide range of functionalities.
6. High-Level Language:
Python is a high-level programming language. The key feature of high-level programming language enhances the programmers to write the codes primarily independent of the systems. These high-level languages sound like human languages and vary from machine languages. Programmers do not need to worry about remembering the system architecture and managing the memory when it is specifically for Python.
7. Object & Procedure – Oriented language:
Python perfectly adapts to programmers majorly due to its Object-Oriented features. It possesses the concepts of Encapsulation, Polymorphism, Inheritance etc., which maps the objects to entities through this approach.
Developers cherish Python as it’s a Procedure-oriented language. It supports the developers in reusing the codes. So, Python effectively supports both Object-oriented & Procedure-oriented programming.
8. Test-Driven Approach:
The testing team may test-drive the design and development of the application using the test-driven technique, or TDD. Testing experts may easily create tests to comprehend your next move, design, and define what the code will accomplish. Since TDD guarantees 100% test coverage and let’s avoid complications like duplicating , it is thought to be a far better alternative to the conventional testing approach.
By only implementing the TDD technique, experts may now carry out development and testing simultaneously with the aid of Python.
9. Platform Independent:
Python enables programmers to script the standard code that effectively runs on all operating systems.
For Instance, Windows, Mac, Linux etc.,
As in other languages, in Python programmers do not need to script the code separately for each platform.
10. Extensible, Expressive & Embeddable
Python allows coders to write some parts of codes in other languages, such as C and C++, and efficiently compile them. It’s also extensible in terms of we can extend Python code in different languages like C, C++, etc.,
Python is a highly expressive language which just needs a few lines of code to achieve huge complex tasks.
11. Effective GUI support:
Unlike other languages, Python has a wide range of functionalities for GUI. Functions such as , , , or are particularly available for GUI. Python also has specified frameworks which help the programmers easily design GUI.
12. Databases Support:
If we create an application or software, we need databases for it. The main commercial databases may be accessed with the Python Database API (DB-API).
Python supports several databases, including MySQL, PostgreSQL, Microsoft SQL, Oracle, Informix, etc.
To a specific database, we must import the interface for that database. Both relational and non-relational databases may be handled with Python.
13. Extensive community assistance:
A wide range of experts will instantly clarify any kind of queries related to Python code. Many queries are successfully resolved and published on their official site so that users can easily access their requirements.
In addition to the features already mentioned, Python also offers a number of advanced programming capabilities, such as comprehensions, generators, decorators, etc., that further distinguish it. Additionally, Python uses a private heap to manage memory internally. Python does not have the idea of pointers because of this internal memory management.
Python is obviously the future programming language, and given how widely it is used and how well-liked it is, it is likely to be around for a very long time. Python has a wide range of features, functionalities, modules and libraries compared to other languages. This makes the programmers transform from other languages to Python. It enhances all technologies such as AI&ML, Cloud migrations, Blockchain, Cyber Security and Data Science.