This blog has a really interesting assortment of articles on mathematics and programming. You can use the tags to your right to find topics that interest you, or you may want to have a look at
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The purpose of this Pydon't is to show you what underscores are used for in Python, and to show you how to write more idiomatic code with them.
You are on vacation and must find the most efficient way to cross all bridges. How will you do that?
In this Pydon't we will take a look at the
which used to be a built-in function and is currently
This article will twist and bend your mind a little bit, as we go over some interesting self-referential concepts and objects.
In this Pydon't we explore what Boolean short-circuiting
or operators is, and how to use this
functionality to write more expressive code.
Alice and Bob sit across each other, ready for their game of coins. Who will emerge victorious?
Can you find a really large triangle that is also really tiny?
In this Pydon't we conclude the slicing trilogy and
take a look at the inner workings of Python slicing,
from the built-in
slice type to the dunder method
__getitem__ and its siblings.
In this Pydon't we cover advanced topics related to sequence slicing, like (negative) steps, more idiomatic sequence slicing, slice assignment, and slice deletion.
This is an algorithmic puzzle where you just have to turn some coins.
In the fifth article of this short series we will be handling some subtleties that we overlooked in our experiment to classify handwritten digits from the MNIST dataset.
This article covers the basics of sequence slicing in Python and teaches you some idiomatic slicing patterns to write more elegant code.
In this article we use (finite state) automatons to count 698,438,863,898,480,640 passwords in a couple milliseconds.
A short article with all you need to know about sequence indexing in Python – and a bit more.
Two doors, one gives you eternal happiness and the other eternal sadness. How can you pick the correct one?
If you need to access the items of an iterable but also keep
track of their indices, have you considered using
Let's talk about another of Python's amazing tools to work
Syncro is a beautiful game where you have to unite all the petals in a single flower. In how many moves can you do it?
In part 4 of this series we add some unit testing,
improve our tokenizer and implement the primitives
for loops are the bread and butter of imperative programming
and Python has some really nice tools to work with them.
If you want to traverse several structures in parallel,
have you considered using
A waiter at a restaurant gets a group's order completely wrong. Can you turn the table to get two or more orders right?