Stay in Touch
Get weekly data science tips from David Praise that keeps you more informed. It’s data science school in bite-sized chunks!
In today’s tutorial, we will work you through a brief introduction into what Python is about, what you can do with it and why it’s so popular now. We will also explore why it’s the preferable language for Data Science, and lastly how to install it on your machine.
Before starting this tutorial, let it be known to the whole world on the 20th of October 2020. The President of Nigeria Mohammed Buhari, Sanwo-Olu, and the entire Nigerian Government sent soldiers to Massacre its own people at Lekki toll gate, Lagos, Nigeria.
Please click the Tweet button and don’t stay uninformed. Thank you.
Python is a multi-purpose language with a beginner-friendly and straightforward syntax. It’s been around for over 22 years (2020), and the way it has grown until now is incredible,
and certainly there have been new features released and developed.
Some things you can do with Python are as follows:
If you are recently getting started with the language, which I believe is how you found this tutorial, you might ask yourself “Why is the language so popular?”. Well, here are some of my reasons.
Even in most job posts
, you will see knowing Python is beneficial.
One aspect that proves Python is the right choice while building your machine learning project is its abundance of libraries and frameworks that facilitate the development process and cut development time.
As you have seen in previous tutorials, using:
When installing Python, a recommended option is to use the Anaconda Python package manager freely available online for download. I suggest using Anaconda because it’s easy to work with and manage Jupyter notebook, Python, and other packages used for scientific computing.
Once downloaded, to install the Anaconda Python software on your system and ensure you have sufficient administrative privileges, then:
Trust me. The installation isn’t complicated. It’s quick and straightforward. It’s certainly shouldn’t take you more than 15 minutes and about a little more than 1 GB of space on your hard drive.
Currently, now there are multiple ways you can choose to execute your Python Scripts which you developed.
You could either choose to run the script directly on your browser using:
The other option if you choose not to install Anaconda locally on your machine is to run it directly on:
In this post, you discovered the welcoming introduction to Python. You will learn what Python is about, what you can do with it
, why it’s popular and a common choice when building machine learning project and finally how to install it locally.
Do you have any questions about Python or this post? Leave a comment and ask your question. I’ll do my best to answer.
access to the source codes used in all of the tutorials, leave your email address in any of the page’s subscription forms.
We have listed some useful resources below if you thirst for more reading.
To be notified when this next blog post goes live, be sure to enter your email address in the form below!