I found a really neat data source online on unwanted robocalls that the FCC (Federal Communications Commission, a United States government agency) has created and published openly. The data source provides times and dates of unwanted robocalls that consumers have reported to the FCC. We can use this data source to find out all kinds of things, but today we will be content with just finding out the time of the day households are most likely to receive robocalls.
This is a simple s-expression parser written in Python 3. It understands symbols and numbers and uses tuples to represent the data internally.
Creating tuples from generator expression is surprisingly fast.
Today we are going to look at how to filter items in tree data structures using Python 3. We are going to compare a stateful approach and a functional and recursive approach. In the end we will discuss the advantages of a functional implementation.
As you might know, CPython, the most commonly used implementation of Python, uses a stack based virtual machine to run Python scripts.
This is a short evaluation on whether one can perform a series of basic tasks using the APIs that cloud photo services provide.
With the new async syntax in Python 3.5, defining asynchronous functions has become a lot simpler. In this article, I will demonstrate a simple example for this new feature.
Given a list items, that contains ints and None, produce a list that only
contains the int values with their order of appearance preserved.
The other day I received this ominous message on Skype from an infected machine:
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