Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Here’s why Python is worth learning in 2017 and the years ahead:
LANGUAGE OF CHOICE
Currently, Python is the most popular language in IT. It is general- purpose, interactive, interpreted and high-level programming language. Python was adopted as a language of choice for almost all the domains in IT including Software Testing, Web Development, Big Data Hadoop, Cloud Computing, Data Science, AWS, VMware, OpenStack, and Google Cloud.
FLEXIBLE AND EASY TO UNDERSTAND
Python was designed to be easy to understand and fun to use. You can build prototypes and tools quickly with Python. Thus, Python has gained popularity for being a beginner-friendly language. Also, being a very high level language, Python reads like English, this takes a lot of syntax-learning stress off coding beginners. Python handles a lot of complexity for you, so it is very beginner-friendly in that it allows beginners to focus on learning programming concepts and not have to worry about too many details.
LARGE FIRMS PREFER PYTHON
Many big corporates such as IBM, Yahoo, Google, Nokia, Disney, Mozilla, NASA, and much more depends heavily on Python. In fact, Python is one of Google’s favorite languages, they are always hiring experts in it and they have created many of their popular products with it.
Because these companies use Python they are always in search of talented professionals who have worked on Python. You can also become expert on Python by joining Python Course. There is always a demand for Python web developers and they are offered some decent packages as well.
PYTHON IS FLEXIBLE
There are several robust Python implementations integrated with other programming languages.
CPython, a version with C
Jython, or Python integrated with Java
IronPython, which is designed for compatibility with .NET and C#
PyObjc, or Python written with ObjectiveC toolkits
RubyPython, or Python combined with Ruby.
PYTHON IS A USUALLY USED IN DATA SCIENCE
Whatever job you’re reaching for, data will be a part of it including IT Ops, software development, marketing, etc. Shortly, data analytics skills will be as crucial as coding skills, and Python has a strong presence in both areas. Next to the language R, Python is the most used language in modern data science; in fact, Python job postings outnumber R postings in the data science arena. The skills you will acquire while learning Python will transfer directly to building these analytics skills.
UNLIMITED RESOURCES AND TESTING FRAMEWORK
A python developer, when in need, can access a large number of resources like reference manuals, books, tutorials, videos, forums, etc. If a developer has any doubt or some technical issue, he can seek help from thousands of Python community members on forums, Twitter, Facebook, Q&A sites, pretty much everywhere.
Because of Python is an open source language there are always people trying to improve it, keeping it fresh and up to date with current trends, bringing out newer versions of the language.
PREFERRED FOR WEB DEVELOPMENT
Web programming with python offers a lot of choices as python have an array of frameworks for developing websites.Web frameworks offered by python are Pylons, Django, Zope2, TurboGears, web.py, Grok, web2py etc. .
Coding a program that takes hours in PHP can be done in minutes using Python. Moreover, the Python code is a lot faster and stable. Then there comes Flask, another Python web framework, but tiny and built for customizability
While the majority of websites still run on PHP, many new web applications are being built using Python.Python is flexible; it can be used for small, large, online as well as offline projects. It is the only scripting language you’ll need to begin designing your own applications and websites.
Rahul Tripathi has been writing custom content for over 3 years. He provides writing, coaching and editing services. MCA graduated from University of Delhi with bachelor’s degree in English Literature. Currently, Rahul is focusing on writing content about Python Programming