date_rangeMay 02, 2020
In this modern era where technology is taking its toll over everything and in every way possible, now there’s not much left that we can wish for. The basic purpose of machines was to reduce human effort and make life a bit easier but considering the advancement in technology; we think it’s apt to say that we have achieved way beyond our expectations.
When it comes to advancement, why shall it be bounded just to the machinery and not us? Isn't matching up to the technology's level equally important? A word of wisdom - keeping balance in life is very important no matter what! So to level up to the technology shouldn't everybody, or at least those who are willing, should try to acquire the necessary skills?
What we mean is programming is the core of the technology. In other words, programming is something one should be exposed to. Initially what looks difficult, when unfolded, is full of fun and knowledge. Programming is not restricted. One can add their pinch of artistry and do wonders with it provided that the use of it is for the betterment and is harmless in any way whatsoever.
Coming to the more technical part as we say, the best programming language according to the current scenario is Python. It is a high-level programming language that is simple, has clean syntax, object encapsulation, good library support, and optional named parameters.
We think it’s safe to say that Python has become the unsurpassable programming language globally right now. You know it's never late to learn a skill! Learning a new skill is not difficult anymore. Gone are those days where people had to face a hard time learning anything new or to even think of it.
Top reasons why to learn Python:
Moving on from the reasons as to why you should learn Python to the benefits of learning Python because let’s be real that’s the big fish we are all after.
Now throwing some light on the terms associated with Python, i.e. Data Science and Machine Learning. For the not so techy people, Machine Learning is a fragment of artificial intelligence which focuses on learning by machines from its own experiences and hence based on its experiences, making predictions. This provides the potential to the machines to make data-driven decisions instead of being programmed explicitly for carrying out certain tasks. These algorithms (programs) are designed in such a way that they not only learn but also improve over time, on being exposed to new data.
Data Science on the other hand, as the name suggests, is the study of data that involves flourishing methods of recording, storing as well as analyzing data to productively wrench out useful information. The main goal is to obtain intellectual acuity from any type of data - structured or unstructured.
By now we feel we did a fair job of explaining what stage Python has reached and that, soon, it would be touching even greater heights. So if you don't want to feel old even if you are nowhere close to being old, learn the skill because knowledge never goes to waste!
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