Every rising trend has a fall impending; that is what they say. Python has just shot up to the top of the list of most wanted languages composed by Stack Overflow. And quite habitually there are speculations about how Python might just be in its last breaths. If you are already a Python user and are aware of its worldwide popularity then you can quite easily dispose these speculations off into the Indian Ocean or whichever ocean is closer to you. But for you who are still in a fix about what language to learn or whether it is a good idea to get into Python Data science, some help is in offer right here.
Python offers more flexibility than anyone ever could –
Easy and User-friendly
Data Science and Machine Learning
Machine Learning is the new driving force in the technological milieu. We have only started to figure out what can be achieved with ML and it is already taking the market by storm. Python is a tailor-made tool for writing machine learning algorithms. And Machine Learning aside the other segments of data science programming can also be done well with Python. The popularity of Python among the data science and data analytics professionals has taken off like never before. Lisp another language which is often recommended for data science has been there for 40 years but it never really took off. Although there are tons of well organised learning material for Python when it comes to web development, you will find it incessantly difficult to be on your own in the case if Python data science. It is always suggestible that you undergo a course and get ready for the market full of opportunities.
Open Source and regularly improved
The community of Python developers who contribute regularly to the development of the libraries is large and dedicated. You will hardly ever see so much passion for a programming language among the coders. Whenever you are stuck, there would be someone who can help you out. This vibrant community of people is what keeps Python as flexible and user friendly as it is. Git Hub has made it easy to add new patches. So, it just keeps growing.
Being open-source makes it far less expensive than something like SAS. This also serves to make it so famous among startups. One does not need to spend money with every new development or update. This leads us to the final point.
This is probably obvious that if a language is so popular among coders the employers too will feel confident about using it. The number of popular web sites which are made off of Python will surprise you. YouTube, Instagram, Spotify are running on Python. The demand for Python developers all over the world, both in the large enterprises and startups is on a steady rise.