Skip to main content

9 Reasons to Learn Python


Why should you learn Python or any other language is totally your call? You may be learning it for fun, job, or skill honing and so on. But if you ask me, I would say that if I will not learn Python today, I may lag behind in the near future.


Java is considered as the king of programming language. However, the trend is changing. All because of data we consume and generate every day i.e. big data. Since the advent of Internet penetration, data has been generated like anything. There is data all around you: your communication, browsing history, IoT, surveys, logs, bank transactions and all. Thus, it is very clear whosoever can remain abreast with the data demands/challenges will remain ahead in the market. Python is one such magic that can help you sustain in the market for long run, because we all know that when it comes to playing with big data, you need Python, like your uncle, at your side.

Not only this, there are other reasons as well that nudge you to learn Python as fast as possible.

  1. Python is easy to learn, thanks to less syntax and almost clutter-free coding.
  2. You have excellent libraries and frameworks to collaborate with it. For example, Django for web development.
  3. Python is great for ML and AI algorithms.
  4. Python can be used for classification and cleansing big data. Imagine all big companies cannot survive without big data utilization.
  5. Python is going to overtake the throne from Java and other complicated languages.
  6. Python makes programmers and data scientists life easy.
  7. Great websites like Quora, Netflix, Google, Dropbox and YouTube are using Python.
  8. Automation and monitoring becomes a cakewalk with Python.
  9. It is free and open-source.
The reasons I have provided may fit well to your rationality, however you can browse the internet for almost an endless reasons to learn Python.

Comments

Popular posts from this blog

Why is Python becoming a Trend among Data Scientists?

Internet technology has set the world on fire. New revolutions are always around the corner. But did you ever notice that nowadays new revolutions are mostly based on technology and driven by data. It is data that is being generated everywhere via the internet. So what’s big deal about it? Well, the data we get from Internet is big data. Websites, social media, servers and so on...all contribute for data. It is data that is driving the demand-supply chain that serves the human race. Since we have been generating humongous amount of data every day, we have data scientists who drive value from it, so that humans can lead life of meaning and purpose and of convenient.


We now got hunch that Python has something to do with big data and work profile of data scientists. Now let’s get back to the point and seek answers as why data scientists are loving languages like Python and R over the traditional programming languages.
Let the pictures below speak for them, as a picture speaks a thousan…

What Topics in Python Should You learn for Data Analysis?

First off, understand there is difference between developing full-fledged software and doing data analysis using Python as a programming language. Clearly, here your aim is to do data analysis using Python, so learning Python becomes imperative for you. Right? Well, most of the people new to ‘big data’ and ‘data science’ go pell-mell, as they do not know where the correct essence of learning lies. They think that learning Python from A to Z will make them smarter, may be it can, but that's too much time consuming. As a new aspirant, you should be able to make out as what you should exactly learn for doing data analysis using Python.

In this post, we will go through the most-likely path which will make you self-confident in Python and subsequently in data analysis.

Step 1 - Basics:
Your learning process starts with rudimentary knowledge. Learning resources for general are different than selected learning. So, be it anything, you must learn the basics involved in Python. To learn…

What is Apache Cassandra?