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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.

A platform independent way to set your Python Path for your Python applications

In a software development house where desktop computers run Microsoft Windows while servers run Linux, software developers will have to ensure that the Python code that they wrote on their Windows machine can run on the deployment servers which are running Linux.

One unavoidable task for Python application developers is the importing of functionalities that are contained in other Python scripts. In order for the Python interpreter to find the Python scripts that are referenced by Python import statements, the Python Path will need to contain the URLs of the directories that contain the Python scripts to be imported.

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How to sort a python dictionary by keys

I am a fan of hash tables when I need to implement logic that augments computation results to a common data structure that need to be used across several function bodies. The ability of the hash table in providing constant access by key helps me in keeping my logic from taking too much time to complete.

Python’s version of hash tables are known as a dictionaries or associative arrays. Apart from augmenting computation results to values of my Python dictionaries, one common task that I often perform is sorting the results by the dictionary keys. In this post, I document how I can sort my Python dictionary by its keys.

How to generate n-grams in Python without using any external libraries

There are many text analysis applications that utilize n-grams as a basis for building prediction models. The term “n-grams” refers to individual or group of words that appear consecutively in text documents.

In this post, I document the Python codes that I typically use to generate n-grams without depending on external python libraries.

Ensuring that your Supervisor subprocesses can run your Python applications properly behind your http proxy on Ubuntu Server 14.0.4

I had been using Supervisor to run my Python application for quite a while on a Ubuntu Server 14.0.4 box.

There was this OAuth feature that I had implemented on my Python Flask application to allow my users to sign in with their social account.

After completing the OAuth feature and ensuring that it worked fine on my development environment, I deployed the feature on my Ubuntu Server 14.0.4 instance.

However, my Python application encountered a HTTP request timeout error when it attempted to contact the OAuth server to authenticate my user login.

It turned out that there was no HTTP and HTTPS proxy settings available for my Python application to use when it tried to contact the OAuth server which is sitting somewhere in the Internet.

This post documents three ways which I had considered for propagating HTTP and HTTPS proxy settings to my Python application via the http_proxy and https_proxy environment variables.