In my recently published blog, How to Learn Machine Learning, I mentioned that one of the prerequisites in learning machine learning is the knowledge in programming. I also made mention about Python as the most popular programming language in the Querlo C-Blog from the same post.
Did you know that there are a lot of programming languages in the world? According to Dzone, there are 256 programming languages available in the world. According to Wikipedia, there are more than 700 programming languages. Why there are such a huge number of programming language? Well, one of the reasons is that these programming languages were invented in order to solve different problems. Another reason is that programmers are trying to build programming languages that they believe to solve a certain problem more effectively than the one already available.
Python has made a remarkable increase in users from 2011 to present based on Stack Overflow review. Please watch this video to learn more about the progress.
PYTHON, HISTORY, FEATURES, AND PHILOSOPHY
Image Credits: TrytoProgram.com
Python, a programming language conceived in the late 1980s by a Dutch programmer, Guido Van Rossum as a multi-paradigm programming language. Initially, it was designed as a response to the ABC programming language that was also foregrounded in the Netherlands.
Python is the current world's most popular and widely used programming language, not just amongst software engineers but also amongst mathematicians, data analyst, network engineers and even among those who are just starting to learn to program. Python's growing popularity is attributed to its beginner-friendly programming language.
BEHIND THE NAME
At first glance, anybody would assume that the name of the program was taken from the name of a snake. But the reality was different. Van Rossum was a big fan of a popular BBC Comedy show back in the 1970s called Monty Python's Fly Circus. So when he started developing the project, he named it 'python'.
ZEN OF PYTHON
The Zen of Python is the collection of 19 "guiding principles" for writing computer programs that influence the design of Python programming language. American software Engineer, Time Peters wrote this set of principles and posted it in Python mailing list in 1999.
Here is the list of some of the principles:
- Beautiful is better than ugly.
- Explicit is better than implicit.
- Simple is better than complex.
- Complex is better than complicated.
- Flat is better than nested.
- Sparse is better than dense
>Find the complete list of the principles HERE.
Image Credits: Python.org
Among the quite huge number of programming languages in the world, there is one that stands out from the rest, and that is Python. whether you are a seasoned programmer or a beginner in this field, this programming language is something worth considering.
Python has a simple syntax that makes it appropriate for first-time programmers to learn. It is easy to learn as a first language and a valuable skill-set to have in any programmers stack because of its diverse usage. Moreover, the learning curve is smoother than other programming languages.
Python is used across diverse fields from web and game development to machine learning, AI, scientific computing and academic research. A versatile tool that can be useful in various field or career.
So much so, Python provides a well-furnished standard library and many external libraries are available. This allows to quickly develop concrete applications.
Let's talk about more about the advantages of using Python. I hope you find this Querlo C-Blog useful. In this C-Blog we will discuss more of the reasons why we need to learn how to use Python. This will be part of the preparation in learning machine learning.
Join me in this C-Blog and learn more about Python.
Thank you for your time and I hope that through this post, you acquired new skill and knowledge that you could use in future plans and projects. Don't hesitate to share your ideas, ask questions or anything that you may want to know about in the comment section below.
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Querlo Chat's featured Image Credits: Python.org (Blog graphics Edited via Canva)
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Written for Bitlanders
by ★Sharon Lopez
Date: August 18, 2019
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