Articles about software development operations

In this page, you will find articles that are related to computer infrastructure operations that are performed in the course of software development.

Examples include how to setup the server infrastructure to run Python applications, WordPress applications and etc.

How to use NSSM to setup Jupyter Notebook as a Windows Service running its own Python 3 virtual environment

When you take Andrew Ng’s Deep Learning Coursera course, you can get a better understanding of deep learning. In addition, you will get many Jupyter Notebook documents that you can reference while building models that can solve interesting problems.

When you want to readily access those documents, you can setup Jupyter Notebook as a Windows Service on your Windows machine.

As I had mentioned in how to use NSSM to run a Python 3 application as a Windows Service in its own Python 3 virtual environment, NSSM is a very helpful tool for us to create Windows Services.

Since we can install Jupyter Notebook via pip, we can run Jupyter Notebook from its own virtual environment. In addition to that, since we can create a Python 3 virtual environment in Windows 10, we can setup Jupyter Notebook as a Windows Service running its own Python 3 virtual environment.

Given these points, let us look at how we can use NSSM to setup Jupyter Notebook as a Windows Service running its own Python 3 virtual environment.

How to prepare a virtual environment to run a gpiozero based project on Raspbian Stretch

When you use a virtual environment to run your application, you isolate the dependencies in its own container.

In such a situation, you can ensure that your application can run alongside other applications with incompatible dependencies.

Therefore, I always favour the use of virtual environment for running my Python applications.

With this in mind, this is a story about preparing a virtual environment to run a gpiozero based project on Raspbian Stretch.

How to setup a Raspberry Pi web server with Raspbian Stretch Lite, Nginx, MariaDB and PHP as the LEMP stack

Raspberry Pi LEMP Linux Nginx MariaDB PHP

When you want to deploy a PHP application that you wrote, you can first deploy it on a Raspberry Pi. Once your PHP application gets enough traction, you can then port it over to a computer with more horsepower.

When your PHP application employs MySQL or MariaDB as the backing database, we can put it up on a LEMP stack. In this situation, HTTP requests will first be directed to the Nginx reverse proxy server. Whenever the request is made to a php application, Nginx will then pass it on to the PHP7 Fast CGI Process Manager (PHP FPM) for generating the HTTP response.

Given these points, this post provides the steps to setup a Raspberry Pi web server with Raspbian Stretch Lite, Nginx, MariaDB and PHP as the LEMP stack.

How to setup Raspbian Stretch on Raspberry Pi 3 for developing Python 3 applications

Previously, I had shared:

Although Raspbian Stretch Lite is ideal for running Python 3 applications on Raspberry Pis, it is not so handy for developing Python 3 applications.

For example, if you are building a Python application that interfaces with the GPIO ports and CSI camera of your Raspberry Pi 3, it is hard to test it out on Raspbian Stretch Lite.

Since Raspbian Stretch includes a desktop environment, it is more convenient for developing Python 3 applications for Raspberry Pi. With this purpose in mind, this is how to setup Raspbian Stretch on Raspberry Pi 3 for developing Python 3 applications.

How to create a virtual environment for your Python 3 application with python3-venv in Linux or Unix

The python3-venv module allows us to create lightweight “virtual environments” with their own site directories, optionally isolated from system site directories. Given that, we will be able to run multiple Python 3 environments with varying dependencies on the same computer.

This post shows how to create a virtual environment for your Python 3 application with python3-venv in Linux or Unix.

How to setup Jupyter Notebook on Ubuntu 16.04 of your Nvidia Jetson TX2 developer kit

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.

How to create a Python 3 virtual environment in Windows 10

When you need each Python 3 application that you are building to run in its own isolated environment, you can turn to virtual environments.

Since Python 3 is a versatile language, you can run it on Windows 10 as well.

In case you need to run your Python 3 application in its own virtual environment in Windows 10, this post is for you.

How to install python3-venv on Ubuntu 16.04

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.