But we’re here to guide you on the path of coding enlightenment, and we say you start with Python, a.k.a. the fastest-growing major programming language.
Still not sure how to answer, “Should I learn Python?” Here are five reasons why we think Python is the second coming of Mitnick and why you need to add it to your coding toolbox.
Should I Learn Python?: The Complete Works and Reasons
The short answer is yes. Yes, you should.
In our present time, Python is one of the most in-demand programming languages in the industry. With 31.6% of developers planning on learning Python as their next order of business, and33.0% of employers across industries looking for Python skills in their potential employees’ resumes, Python’s hotness in the market is aiming for the skies.
But if you’re still not convinced, we present to you five reasons why you should change your mind.
1. Big Data Is Here to Stay
There are a lot of theories about why Python is overtaking the market, but most seem to agree that the main reason for Python’s rise in the ranks is the dawn of Big Data.
Imagine, you are in a field of a billion information strands and you’re trying to make sense of all of it. Oh, and you’re also trying to establish patterns of movements, causes, and correlations. Preferably without taking a million years.
What you need is a python (or rather, a Python) in the grass.
Something that will spring, swerve, hunt that one piece of information you are looking for, and come back to you with the mouse in as little time as possible. Other languages would need to copy every single strand of grass on their way to the mouse and back. This whole adventure is called a Buffer Protocol.
2. Flexibility Galore
Python is as flexible as its namesake. It’s composed of highly adaptable and straightforward yet elegant syntax, making it a high commodity in the coding market. Its syntax allows Python programs to run much faster than Java programs.
Basically, a Python program will make a Java program eat its dust.
This is why Python is used in almost anything you can think of, from web development to data science to scientific computation and cloud infrastructure.
Why? Because Python provides a smooth interface for integration with other languages and tools. Oh, and it’s easy to learn and comes with awe-inspiring standard libraries.
Even better, you can learn Python in a few days. Even if you don’t know anything about coding.
3. Object-Oriented Programming
While there are many object-oriented languages out there, in Python everything is an object.
Before you can start groaning in defeat, this is actually a good thing. Objects are delightful things that you can edit, move and maintain with relative ease.
Imagine you’re dealing with a complex program that has around a billion lines of code (give or take a million), and you found an error in a single line of code that is screwing everything up. Instead of screaming internally, you can just zoom in on that object and edit that line without having to rewrite the whole program and question your life choices.
Disaster averted, eh?
From the “primitive” types to the functions, to code blocks, all are objects. It presents smoother sailing to elegant code than say Java, with all its rule exceptions.
4. That Sweet, Sweet Syntax
For the newbies in the room wondering what the heck a syntax is, syntax is defined as the rules that specify the correct combined sequence of symbols that can be used to form a correctly structured program using a given programming language.
So…what does that mean for normal humans?
It’s a lot like structuring a sentence. In English, sentences are created using the subject-verb-object order. Similarly, you have to put your code in a certain order for the program to understand what you want.
Python has a simple, straightforward syntax. With few keywords and a logical progression with the aid of white space to highlight code blocks, you got yourself a functioning little program.
5. Dat Library Tho…
Python’s library takes inclusivity to a whole new level. It contains almost everything you need to write almost any type of application your coding heart desires.
Before you start packing your bags for a trip to the Library of Alexandria, coding libraries are a bit different. A coding library, like Python’s, is a collection of precompiled routines that a program can use.
For example, you are writing a program that would help you automate the calculation of a circle’s area. Instead of writing the value of pi over and over again until you die (because the number goes on forever), Python’s library has a math library that stores the pi value and all you need is to import it to your program.
So you think you can Python? Not sure?