Articles about Python

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Python is one of the most versatile programming languages in the world. With Python, you can control electronics, build web applications and perform machine learning.

In this page, you can find articles on Python references, coding and application setup.

How to create an API endpoint that generates a QR Code image, with Python 3 Flask-RESTPlus and python-qrcode

When you have an API endpoint that generates a QR Code image, another device with a QR Code scanner will be able to get the encoded value to perform some action. For example, WhatsApp web generates a QR Code image that encodes a code for WhatsApp app to sign in the user.

So how can you create an API endpoint that generates a QR Code image? With this in mind, let’s look at how we can do so with Python 3 Flask-RESTPlus and python-qrcode.

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.

Getting the environment variables supplied to your Cloud Foundry application with Python 3 Flask

When I was trying to build a Python 3 Flask application on Cloud Foundry, I wanted to quickly check the environment variables that Cloud Foundry will supply to my application.

As a result of that, I created a Python 3 Flask application that will probe the environment variables that it receives from Cloud Foundry.

This post lists the files that constitute that Python 3 Flask application.

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 send an HTTP request to a HTTP Basic Authentication endpoint in Python 3 with requests library

When you are building a Python 3 application for the Internet, you could encounter API endpoints that use HTTP Basic Authentication as the authentication mechanism.

In such a situation, using the requests library in your Python 3 code makes it easier to communicate with those endpoints.

In case you need to build a Python 3 application that sends HTTP request to a HTTP Basic Authentication endpoint, this is how you can do so with the requests library.

How to use 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 is available on Windows 10, you can also use virtual environments on Windows 10.

Typically, using a Python 3 virtual environment in Windows 10 involves the following steps:

  1. Installing Python 3 with pip and several features.
  2. Creating a Python 3 virtual environment with Python 3 venv module.
  3. Activating the Python 3 virtual environment.
  4. Installing Python 3 packages that your Python application is using into the virtual environment.
  5. Running your Python 3 application within the Python 3 virtual environment.
  6. Deactivating the Python 3 virtual environment.