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Showing posts from July, 2019

Give Your Raspberry Pi Desktop a Makeover

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A more sophisticated desktop for Raspberry Pi?

Well, it depends on your point of view and taste. But I was getting a bit fed up with the Raspberry Pi Desktop look, so decided to give it a makeover.
It only takes a few minutes, uses only the resources that already exist, and you can choose other looks, if you don't like my choices.
I have both a Raspberry Pi an an old laptop running the Raspbian Desktop (read why here: Raspberry PC). The screen shots here are from the PC.
The Default
This is what my original setup looked like. It's the standard interface as constructed by the good folk at the Raspberry Pi Foundation with the default 'road' wallpaper. Not too shabby but, as I said, I wanted a change.  

Icons and Taskbar
My first gripe is that the icons are too big. And so is the taskbar.
These are easily changed - just right-click on an empty space on the desktop and choose Desktop Preferences from the menu.

Now, from here, by selecting the appropriate tabs, adjust the ic…

Simple Data Visualization Tools in Python and Pandas

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Almost no programming knowledge is required to use Jupyter Notebooks for Data Visualization with Python and Pandas
Please go to the updated version of this article here


We are going to use Jupyter Notebooks and Python with Pandas to create some great graphs to visualize your data. And you do not need to be a programmer.
But you will need to be able to understand just a little bit of Python.
Before you start you need to reasonably comfortable using Jupyter Notebooks. If you aren’t or don’t have Jupyter installed on your computer, don’t worry. I’ve written a tutorial that will show you how to install Jupyter and get you going. You can find it here:Setting Up Jupyter Notebooks for Data Visualization .
We are going to explore the data visualization capabilities of Pandas, a Data Analysis library for Python used widely in the field of Data Science. We’ll start by introducing the basics — line graphs, bar charts and pie charts — and then we’ll see how we can save those charts so we can util…