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PYTHON- The beginners language.

Python was introduced in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands. Since then it has captured an important spot in the DATA SCIENCE INDUSTRY. In other words, python programming has become one of the most used coding languages.

What is PYTHON?

Python is an easy programming language with dynamic semantics primarily for web and app development. It is very useful in the fields of Rapid Application Development and Data Science as it offers wide binding options.

Python also shared the use of modules and packages. In other words, it means that programs can be designed in a modular style and code can be used again across a variety of projects.

For example- if you develop a module for a project A, it automatically saves the codes and later you can use the same codes for project B. These codes are very easy to export.

Features of Python

  • Elucidate Python is processed at runtime by the interpreter. You do not have to compile your program before executing it. This is similar to PERL and PHP.

  • CooperativeYou can actually sit at a Python prompt and interact with the interpreter directly to write your programs. This feature makes Python a easy to work with programming language.

  • Aim- oriented Python is programmed in a Object-Oriented style. In other words, a programming technique is installed which encapsulates code within objects.

  • An easy LanguagePython is one of the easiest languages to learn. It can be a great support to a beginner. It not only supports the development of a wide range of applications, it also frameworks simple text processing to WWW browsers to games.

  • A wide standard library It has a portable bulk of library and cross-platform compatible on UNIX, Windows etc.

  • GUI Programming It also supports GUI applications which can be ported to a number of system calls, libraries and windows systems, such as Windows MFC, Macintosh, and the X Window system of Unix.

  • Scalable This programming language has a good structure and supports a larger number of programs than shell scripting.

Python Basics

1. A simple Python function to check whether x is even or odd

def evenOdd( x ):

if (x % 2 == 0):

print "even"

else: print "odd"

# Driver code

evenOdd(2) / evenOdd(3)

2. Python program to demonstrate default arguments

def mF(x, y=50):

print("x: ", x)

print("y: ", y)

# Driver code (We call mF() with only

# argument)


3. Python program to demonstrate Keyword Arguments

def student(firstname, lastname):

print(firstname, lastname)

# Keyword arguments

student(firstname ='Geeks', lastname ='Practice')

student(lastname ='Practice', firstname ='Geeks')

3 reasons why you should learn PYTHON

Ascendancy in Data Science- If you are interested in the field of Analytics, Python will be your best friend. There are several advantages to using Python, especially in the Data Science industry. This coding language makes it easier to form complex algorithms on which huge calculations and Image processing can be performed. It’s finding features (as mentioned) makes it scalable to achieve rapid data analytics and create new insights from existing data. Various complex data sciences projects are developed on Python, owing to its flexibility and scale-oriented approach.

Extended community support- The extended support offered under the open-source platform portrays numerous layers of interjection which are complex to address. Developers can also form ecosystems that work consistently on enhancing the expression for long-term benefits. The overall appeal of language over time had improved due to its extensive support being offered across the board.

A testing panel- One of the most important reasons as to why a beginner should start their coding journey with Python is because it is designed as a testable modern language. It has been created to solve much of the designing challenges faced by coders. From a testing standpoint, it has stand-alone capabilities that goes beyond the regular coding environment. Python helps beginners to create and change the core features of an app in order to test them and analyze different results. Python is very flexible and extendable as a testing panel.

This makes it a more innovative and collaborative language when it comes to developing new apps and features. It also allows for different teams to participate in projects across many platforms. From manual testing to automated tools, Python provides the necessary framework to perform better testing mechanisms.

Jobs related to Python

  • Web Development

Python programming leads to roles like Software Engineers, Web Developers, and Front-End Web Developers. Python can be used to build server-side web applications. While a web framework is not required to build web apps, it's rare that developers would not use existing open source libraries to speed up their progress in getting their application working.

  • Data science

Learn Python for data science’ is a very common phrase that we hear! Data Science is the future of our country and python plays a huge role in the same. Python is counted among the top 5 programming tools. Learning python can help you understand the data science industry in a much better way!

  • Research Analyst

A financial analyst pores over data to identify business opportunities or make investment recommendations. Python helps you to build that data. In other words, it frames the entire work for you. Junior analysts tend to do a lot of data gathering, financial modeling, and spreadsheet maintenance. Economists say that this is a growing industry too!

Learning Python can open many doors in your career. We at Skillenable aim to bridge this gap. Therefore we have curated a 24 weeks online live classes where you get the opportunity to learn 5 such programming languages including python!

To know more visit www.skillenables.com !

Stay tuned to get more updates!

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