Table of Contents
Introduction:
Python is unarguably one of the most important and convenient programming languages, preferred by any programmers or Data Scientists today. Python is readable, easy to write, and understandable by programmers. It also has a wide area of applications.
Python supports a wide range of data types to work with e.g. Tuples, List, Dictionary, etc which provide developers the flexibility to nurture the data. Python interpreter makes the applications Platform-Independent and can be run on any operating system.
Python is an open-source, interpreted, Object-oriented, and high-level programming language.
Because of its platform independence feature, python can be used to create a variety of applications across different platforms.
Python was first developed by a Netherlands-based computer scientist “Guido Van Rossum” in the year 1989. He was on his vacation when he was playing with creating a new language which he thought should have certain characteristics that other programming languages don’t have.
Introduction To Python Programming
Our “Introduction to Python” Course is designed in such a way, that students can find it easy to learn and understand. Every Topic is explained with Live hands-on example with coding so that students can implement instantly on their system ( laptop )This course is the basic foundation to learn any other advanced courses online related to Python. Upon completion, we will provide you with a course Completion Certificate…..
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The first official version of Python was released in 1992 and since then this language has gone through a series of developments. It got massive popularity and many Programming lovers join to contribute to the development of this language.
There is a huge community of programmers who are associated with the development of this language and constantly building new libraries. The strong support of python libraries is making this language popular amongst programmers. ( A.I. , Data Science, etc ).
5 Application Areas
The following are 10 application areas of Python which has made this language
Python for Artificial Intelligence and Machine Learning
This area is of application needs a stable programming language for the Scientists and developers to work with and python provides that platform. Python is made specifically to work o AI-Ml applications. Python comes with a set of libraries that make programmer’s lives easy to perform certain operations.
E.g. Scipy, Numpy, Pytorch, Tensor-flow, Pandas Seaborn, Keras, etc.
These libraries have features for Data visualization, Advanced Data Analytics, computing, and Machine Learning related Problems Solving.
Python for Software Development
Python has a wide variety of packages and libraries which support software application development e.g. GUI software developments or Web development. Python is a completely Object-oriented Language and it follows the concept of DRY ( Don’t Repeat yourself concept ).
Python is also equally good for software testing and maintenance of its applications.
Python for Game Development
Python is quite handy for game developers. Python comes with libraries like PySoy and PyGame which are used to develop games. Some of the popular games made with python are
Battle field 2, Civilization IV, Diki Doki, Freedom Force, etc.
Python is also preferred by Game designers to develop some supporting libraries which can be used to create shortcuts for the Dialogue tree and also to be used as a Scripting language in the python engine.
Practice Python Here
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Python in Numeric Application for Scientific Research
Python is a powerful language that is used to perform certain scientific and numerical computing operations. Softwares like SAMoCAD, FRee CAD, Python CAD, Abacus are designed with Python and are used to do multiple computing work.
Behavioral Trees in Robotics and AI: The Introduction
A Behavior Way or (BT) is a way to structure the switching between
tasks of an artificial or autonomous agent such as a robot or non-player entity like a robot in a computer game……
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Python comes with the following libraries like NumPy, SciPy, Pandas, Numeric Python, etc to perform certain important scientific Numerical tasks.
Python for Web Development
Python is the perfect choice for web development projects. Python works with frameworks like Pyramid, Flask, Django, Bottle, etc which goes well with web development. Even python also provides advanced CMS ( Content Management Systems ) e.g. Django CMS etc.
These frameworks are built in such a way that they go well with connecting to the Database, Network programming ( FTP, HTTP, Socket, etc ) and also content management systems, etc.