Introduction to Python

 

PYTHON

 

What is Python?

Python is a high-level, general-purpose and very popular programming language. Python programming language (latest Python 3) is being used in web development, and Machine Learning applications, along with all cutting-edge technology in Software Industry. Python programming is very well suited for Beginners, and also for experienced programmers with other programming languages like C++ and Java. It is also called general-purpose programming language as it is used in almost every domain we can think of as mentioned below:

• Software Development

• Web Development

• Game Development            

• AI

• Machine Learning

    

    Why Python Programming?

Python is one of the top 10 popular programming languages. Python is a general-purpose and high-level programming language. we can use Python for developing desktop GUI applications, websites and web applications. Also, Python, as a high-level programming language, allows you to focus on the core functionality of the application by taking care of common programming tasks. The simple syntax rules of the programming language further make it easier for you to keep the code base readable and the application maintainable. There are also several reasons why you should prefer Python to other programming languages.

Some reasons why you must consider using python

Readable and Maintainable Code

We must focus on the quality and features of code to simplify Maintainance and updates of the software. The syntax rules of Python are simple and allow you to express concepts without writing additional code. At the same time, unlike other programming languages, emphasizes code readability and allows you to use English keywords instead of punctuations. Hence,  Python can be used to build custom applications without writing additional code. The readable and clean code base will help us maintain and update the software without extra effort.

Multiple Programming Paradigms

Like other modern programming languages, Python also supports several programming paradigms. It supports object-oriented and structured programming fully. Also, its language features to support various concepts in functional and aspect-oriented programming. It also features a dynamic type system and automatic memory management. The programming paradigms and language features help you to use Python for developing large and complex software applications.

Compatible with Major Platforms and Systems

At present, Python supports many operating systems. We can use Python interpreters to run the code on specific platforms and tools. Also, Python is an interpreted programming language. It allows the running of the same code on multiple platforms without recompilation. Hence, it is not required to recompile the code after making any alterations. We can run the modified application code without recompiling and immediately check the impact of changes made to the code. This feature makes it easier for us to make changes to the code without increasing development time.

Robust Standard Library

Python's large and robust standard library makes it score over other programming languages. The standard library allows us to choose from a wide range of modules according to our precise needs. Each module further enables us to add functionality to the Python application without writing additional code. For instance, while writing a web application in Python, you can use specific modules to implement web services, perform string operations, manage operating system interfaces or work with internet protocols. We can even gather information about various modules by browsing through the Python Standard Library documentation.

Many Open Source Frameworks and Tools

As an open-source programming language, Python helps you curtail software development costs significantly. You can even use several open-source Python frameworks, libraries and development tools to curtail development time without increasing development costs. You even have the option to choose from a wide range of open-source Python frameworks and development tools according to your precise needs. Hence we can simplify and speed up web application development by using Python web frameworks like Django, Flask, Pyramid, Bottle and cherrypy. Likewise, we can also improve our features for GUI application development by using Python GUI frameworks and toolkits like PyQT, PyJs, PyGUI, Kivy, PyGTK and WxPython.

Simplify Complex Software Development

Python is a general-purpose programming language. Hence, the programming language for developing both desktop and web applications. Also, we can use Python for developing complex scientific and numeric applications. It is also designed with features to facilitate data analysis and visualization. You can take advantage of the data analysis features of Python to create custom big data solutions without putting in extra time and effort. At the same time, the data visualization libraries and APIs provided by Python help you to visualize and present data more appealingly and effectively. Many Python developers use Python to accomplish artificial intelligence (AI) and natural language processing tasks.

Adopt Test Driven Development

we can use Python to create a prototype of the software application rapidly. Also, we can build the software application directly from the prototype simply by refactoring the code. Python even makes it easier for you to perform coding and testing simultaneously by adopting test driven development (TDD) approach Hence we can easily write the required tests before writing code and use the tests to assess the application code continuously. These tests can also be used for checking if the application meets predefined requirements based on its source code and can be modified to satisfy the requirements