Tag archive for: Python 3

How to setup Jupyter Notebook on Raspberry Pi 3 with Raspbian Stretch Lite, Supervisor and Virtualenv to run Python 3 codes

By taking Andrew Ng’s Deep Learning Coursera course, you can get a better understanding of deep learning. In addition, you will also get many Jupyter Notebook documents that you can reference to build models that can solve interesting problems.

In order to readily access these documents, you may want to setup Jupyter Notebook on a single board computer like the Raspberry Pi 3. With this in mind, this post shows how you can setup Jupyter Notebook on Raspberry Pi 3 with Raspbian Stretch Lite, Supervisor and Virtualenv to run Python 3 codes.

How to setup Taiga project management platform on Raspberry Pi 3 with Raspbian Stretch Lite

Taiga and Raspbian icon

A project management platform is useful for us to keep tabs on what we want to build. Taiga is a popular open source project management platform that is highly recommended by opensource.com to be the top open source alternative to Trello.

Taiga runs well on a Raspberry Pi 3. If you want to setup something at home to help you manage the projects that you are working on, you can consider setting up the Taiga project management platform on a Raspberry Pi 3 with Raspbian Stretch Lite as the base operating system.

This post is adapted from Taiga’s installation guide to serve as a guide to setting up Taiga project management platform on Raspberry Pi 3 with Raspbian Stretch Lite.

How to paginate MongoEngine records in your Python 3 Flask application

Flask and MongoEngine help makes development work easier.

One common task in the development of backend applications is the pagination of database records. Without pagination, the application server can run out of memory while generating a response from the database records.

This post discusses a way to paginate MongoEngine records in your Python 3 Flask application using the facilities provided by the Flask-MongoEngine extension.

How to deploy Python 3 Flask application on Raspberry Pi 3 with Raspbian Stretch Lite, Nginx, Supervisor, Virtualenv and Gunicorn

Raspberry Pi 3 Model B boards make good gifts for programmers and if someone had gifted you with one, you may want to use it as a control center for interacting with various IoT sensors and devices at home.

In such a situation, you may want to build a Python 3 Flask application to present the web interface for accessing the control center.

After you had built that Python 3 Flask application, the next step will be to deploy it on your Raspberry Pi 3 for serving HTTP requests.

This post discusses how you can deploy a Python 3 Flask application on Raspberry Pi 3 with Raspbian Stretch Lite, Nginx, Virtualenv and Gunicorn.

How to setup Raspbian Stretch Lite on Raspberry Pi 3 to run Python 3 applications

Raspbian Stretch Lite operating system is the Raspberry Pi Foundation’s official supported operating system for running headless software. It is a good operating system for different Raspberry Pi 3 use cases. Some examples include:

If you are planning to use Raspberry Pi 3 GPIO to interface with the real world, it is recommended that you setup Raspbian Stretch Lite to run Python 3 applications.

This post provides the steps to setup Raspbian Stretch Lite on Raspberry Pi 3 for running Python 3 applications.

How to enable authenticated MongoDB access for Flask-MongoEngine applications

After having a first look at MongoDB more than 5 years back, I told myself that I will use MongoDB to realise the next functionality of Techcoil.

With exposure to Python 3, Flask and MongoEngine in 2017, I had acquired the skills to build a microsite to recommend gift ideas. This microsite uses MongoDB to store the gift recommendation data.

With Flask and MongoEngine, development of this microsite did not take too much leisure time. With MongoDB not enforcing authentication, there were not much hindrance in setting up the development environment for this microsite.

However, this free-for-all mode of accessing MongoDB is not recommended for production environments. Without authentication, it is easier for ill-intentioned people to mess up the backend database.

To ensure that I have a go-to post for implementing authenticated access to MongoDB backed projects in the future, I document the steps needed for Flask-MongoEngine applications to access MongoDB instances with access control turned on.

How to setup Raspbian Stretch Lite on Raspberry Pi Zero W to run Python 3 applications

With Wi-Fi included, the Raspberry Pi Zero W is very useful for implementing embedded projects that require Internet connection.

Apart from using the Raspberry Pi Zero W for CCTV surveillance, we can run customized Python 3 applications on a Raspberry Pi Zero W for various use cases.

Pairing the official operating system for Raspberry Pi with Python 3, we will be able to get a versatile computer to do our bidding.

Anticipating the need to setup a version of Raspbian Lite on Raspberry Pi Zero W for future Python 3 projects, I created this post to document the steps of how to do so with Raspbian Stretch Lite.

How to setup Raspbian Jessie Lite on Raspberry Pi 3 to run Python 3 applications

The Raspbian operating system is the Raspberry Pi Foundation’s official supported operating system. As of this writing, Raspbian comes in two flavours – one with a graphical user interface for us to build a low cost desktop computer and the other without the graphical user interface.

If you intend to use your Raspberry Pi 3 with sensors and build a web interface for you to manage those sensors, Raspbian Jessie Lite is one operating system which you may want to install on your Raspberry Pi 3.

And with the versatility of Python 3, setting up Raspbian Jessie Lite on Raspberry Pi 3 to run Python 3 applications will be one of the first task that you will perform before you embark on your next sensor based project with the Raspberry Pi 3.

This post documents the steps that I took to setup Raspbian Jessie Lite on Raspberry Pi 3 to run Python 3 applications.

How to host your Python 3 Flask MVP with Supervisor on Ubuntu Server 16.04

Due to its minimalistic design, the Python Flask framework is ideal for building the web server layer of minimal viable products (MVP) to validate customers’ needs. However, development work is just one part of the user validation efforts. To ensure that our customer can access our Flask MVP and provide feedback as and when they are available, we will need to get it running with as a server daemon.

Supervisor is a convenient tool for running applications as a server daemon.

This post documents the steps that I took to host a Python 3 Flask MVP with Supervisor on an Ubuntu Server 16.04 instance.