When it comes to Python development, PyCharm is my favourite IDE.
Before working on a new Python project, I like to create a virtual environment and associate it with the corresponding PyCharm project. In case you like this mode of operation, this is how you can associate a virtual environment with a Python project in PyCharm.
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.
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.
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.
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.
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.
Most of the customers who wanted to try out my minimal viable products (MVP) would provide me with an instance of Ubuntu Classic Server 16.0x these days. As such, it makes sense for me to trial my MVPs on the Ubuntu Classic Server 16.0x to ensure that I spend minimal time in deploying my MVPs to validate my customers’ needs. Since I have a few Raspberry Pi 3s lying around in the house, I can install a version of Ubuntu Classic Server 16.0x to serve as the development server for me to trial my MVPs.
Fortunately, the good folks at ubuntu-pi-flavour-maker.org had put up an optimised Ubuntu Classic Server 16.04 image for Raspberry Pi 3.
This post documents the steps that I took to run Ubuntu Classic Server 16.04 on my Raspberry Pi 3 for running Python 3 applications.
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