Python and Its applications

Original article was published on Artificial Intelligence on Medium

Python and Its applications

Python is a programming language which was developed by Guido van Rossum. It was later released in 1991. It has a simple, easy to learn syntax as it is a general purpose language which is used for web development, software development and mathematics, scripting. It helps to create web applications, workflows, connect to databases, read and modify files, handle big data, achieve rapid prototyping, production ready software development and it is also interpreted.

When a code is written in any language such as C or C++, it has to be converted from the source language to the binary language so that the code could be understood by the system. But python does not require any conversion. It runs the program directly from the source code. Later, the source code is converted to bytecodes by python and further translates to the native language of the computer to run it. It supports both procedure oriented programming and object oriented programming.

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Python is available in two versions — Python 2 and Python 3. Python 3 has an efficient interpreter and concurrency control when compared to python 2.

Python has various applications as it acts as a foundation for various technologies. Here are listed few of its applications.

Web Development:

Python has a set of ‘frameworks’ which can be defined as a bundle of packages and modules which provides an abstract or a generic function. It can be selectively changed to create the application specific software. For web development, python provides few frameworks such as ‘django’, ‘pyramid’ and ‘flask’. Django is defined as the web framework for perfectionists, with deadlines. It has few built in features which allow for a wide range of web applications, GPS solutions, database management, etc. Pyramid is a framework that is finishing-focused, which has the ability to start with a small code which has a strong foundation for the required solution. Later, the rest of the code is scaled-upon based on the need of the solution. Flask is a framework that usually focuses on small-scale solutions where the priority is given to the lean functionality. When a working application is being built from the basic to a high level it takes the priority over the management of that respective application.

  1. Artificial Intelligence:

Python provides library packages which help in developing and decoding the Artificial intelligence project. It is preferred when compared to the other languages in AI and machine learning due to its flexibility, pre-built library and small code. Python provides the primary support for all the AI frameworks and the code is good and fast for prototyping. Hence, it is majorly preferred in AI. Here are few in-built libraries of python that are used in AI.

It helps to act as a container for the generic data which comprises n-dimensional array objects and integrates the tools for C, C++ codes and other functions.

It is an open library and provides easy-to-use data structures along with analytical tools.

It is a 2D-plotting library which is used to create images that are of publication quality.

Its full form is ‘Artificial Intelligence — a Modern Approach’. It helps to implement the algorithms for general Artificial Intelligence.

In this, a simple python engine is created along with AI for a two player game.

  1. Data Science:

Python is a high-level language which focuses on readability and hence, it is preferred for Data Science. Here are few applications of python in data science:

  • In case of huge data, to search for a particular data may be a huge computational and time consuming task for anyone to perform. Here, the libraries of python which are ‘Numpy’ and ‘Pandas’ are useful as they help to find the required data.
  • To acquire data, the web is to be used at times and here, ‘scrapy’ and ‘beautifulsoup’ which are python libraries help to extract data from the internet.
  • To display the data in the form of figures like bar graphs, pie charts and histograms, ‘Matplotlib’ and ‘Seaborn’ are used which are the python libraries.
  • Data science requires huge mathematical calculations to be done and a machine learning library of python naming ‘scikit-learn’ makes the process to take place in a simple and efficient way.
  • When images are to be operated upon, python gets that done with the help of an open source library ‘opencv’, which is also a python library. It has been specifically dedicated for image processing.

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  1. Desktop GUI Applications:

Python has few extremely useful ‘Graphical User Interface’ frameworks which help to generate GUI framework. Here are a few listed.

It is free python software that is used for cross platform application development framework.

This provides various widgets and textboxes such as labels, buttons and text boxes used in GUI. The advantage of using this is that it has a vast number of resources which includes books and code samples.

This helps in writing the code once and being able to run on different platforms or OS. The usage of Kivy also makes it easy to segregate and slot all the classes and functions in the application.

  1. Embedded Systems:

During the embedded software development process, the need to control the bus analyzer and send messages can be done through user friendly interfaces with python. These control the tool and also provide a way to develop scripts that can be used to control the tool as well. Python can also be used to create automated tests such as regression tests which can be developed constantly which tests and exercises the system. The python scripts that are developed can set the embedded systems in different configurations, which tests all the possible perturbations and interactions which the system might have with the external world. Developers also python to develop real time visualizations which show critical parameters and they can be saved later on for analysis. The critical embedded system data can be received and stored in database or locally with the use of python.

Few advantages of python are :

• presence of third party modules

• extensive support libraries

• open source and community development

• user friendly data structures

• productivity and speed

• learning ease and support availability

Python has proven itself to be extremely powerful and easy to learn. It can be used across multiple platforms worldwide and is also easy to be understood by students and non-programming students. It is being used in almost every technology available now and hence is called jack of all traits. That explains how useful it would be to pursue this course. Know about more information on Python and its applications from live experts at Python Online Training.