Ever since the Raspberry Pi first appearance, many people have been hoping to use it as a desktop computer.
When the Raspberry Pi 4B came along, we saw some upgrades that can turn those hopes into reality.
Given that, let’s look at some reasons why you will want to use a Pi 4B as a desktop computer.
If you have a Raspberry Pi 2, 3 or 4, then you can install the official Ubuntu 19.10 server.
Since Ubuntu is a popular Linux distro for servers, you may want to install it on your Raspberry Pi server.
Given that, let’s look at how we can install Ubuntu 19.10 server on your Raspberry Pi.
After implementing some easy and effective ways to make money with my website, I was able to earn some budget for a developer’s machine.
So what is a single board computer that is small and powerful?
After doing some research, I set my eyes on the Odroid H2.
Once I had received all the hardware components, I proceeded with setting up Ubuntu 19.04 Desktop on my Odroid H2.
In case you need a reference, this is how you can setup Ubuntu 19.04 Desktop on an Odroid H2.
When you want to quickly test out your machine learning algorithm, you can create Python 3 notebooks via Jupyter Notebook.
Therefore, Jupyter Notebook is one of the things that you may want to setup after getting started with your Nvidia Jetson TX2 developer kit.
With this in mind, this post shows how to setup Jupyter Notebook on Ubuntu 16.04 of your Nvidia Jetson TX2 developer kit.
Since Ubuntu 16.04 is a very popular operating system, it is one operating system that you will likely come across when you are building software with Python 3. For example, if you want to get a Nvidia Jetson TX2 developer kit today, you will find yourself dabbling with Ubuntu 16.04.
On the other hand, the venv module of Python 3 is one recommended way to create virtual environments for our Python 3 projects.
In case you need it, this post describes how to install python3-venv on Ubuntu 16.04.
When we have the right amount of data, machine learning enables us to use them for building a model that can provide answers for future questions.
Compared to CPUs, a GPU is better suited for us to build that model. This is because a GPU is very good at performing much more computations in parallel.
Although you can build your own GPU rig for machine learning, an Nvidia Jetson TX2 developer kit is easier to setup and more energy efficient. Therefore, I got myself a Nvidia Jetson TX2 developer kit to ride on the machine learning bandwagon.
In case you are wondering what is in the box and how to get started with an Nvidia Jetson TX2 developer kit, read on to find out more.
There are times when I get the urge to work on project source codes that reside on my Raspberry Pi 3 LEMP server while I am on the move. Setting up a web based IDE on my Raspberry Pi 3 is one way to enable me to code while I am on the move, so long as I have a device with a web browser that is connected to the internet. Since I had already setup a LEMP server to run WordPress on my Raspberry Pi 3 and that Codiad is written in PHP, Codiad is an ideal web based IDE that I can set up on my Raspberry Pi 3.
This post documents how I setup Codiad web IDE on my Raspberry Pi 3. To make this post complete, I had taken some of the steps mentioned in my other posts on Raspberry Pi and replicated it in this post.
WordPress constantly evolves to give website owners more features and security improvements to make their website great. After getting over with months of procrastination on updating my WordPress installation, I had finally get my act together to proceed with updating my WordPress installation.
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