Set Up Python Environment For Data Science

Introduction

 

You can use any IDE as per your convenience, but I prefer Anaconda. You install Python and use any IDE, like Visual Studio Code or Sublime.

 

Visit here and select any operating system you want to install. I am using Windows 10 so I clicked on the Windows tab and downloaded Python 3.7 version for 64-bit.

 

 

Right-click on the downloaded file and run as administrator.

 

 

Click next and go with the default settings. There's no need to modify any options.

 

 

If you are installing in your local system then select the "Just me" option or else you can select "All users" if you want to share this with any other user and click next.

 

 

Click next and select the location where you want to install and then again click next.

 

Select both checkboxes. As you can see when users select “Add Anaconda to my path environment variable” it says that it's not recommended because if you have different versions of Python installed on your system that will make a mess. So to avoid that just select the first option and click on install.

 

 

After installation clicks on the start button and searches Anaconda.

 

 

And click on Anaconda Navigator.

 

 

Click on Ok or Ok and don’t show again. You will get the following screen.

 

 

Now you can use Anaconda. You can see that as of now I have JupyterLab, Jupyter, Qt Console, and Spyder. I am going to use Jupyter for this tutorial.

 

Now click on Jupyter notebook launch.

 

 

I am choosing Google Chrome. After selecting Chrome you will get one tab open in your browser.

 

 

As of now, I am writing “Hello World” in Python using Jupyter notebook. In the next article, we will discuss data types and much more.

 

Code

 

print("Hello World")

 

Output

 

 

I hope this will be helpful.

 

Thanks.