# Mathspp Blog

### A blog dedicated to mathematics and programming!

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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##### Zip up | Pydon't π

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 zip?

##### Problem #032 - restaurant roundtable

A waiter at a restaurant gets a group's order completely wrong. Can you turn the table to get two or more orders right?

##### Structural pattern matching anti-patterns | Pydon't π

Structural pattern matching is coming in Python 3.10 and the previous Pydon't explored some interesting use cases for the new match statement. This article explores situations for which match isn't the answer.

##### Neural networks fundamentals with Python β MNIST

In the fourth article of this short series we will apply our neural network framework to recognise handwritten digits.

##### Structural pattern matching tutorial | Pydon't π

Structural pattern matching is coming in Python 3.10 and this article explores how to use it to write Pythonic code, showing the best use cases for the match statement.

##### Problem #031 - piped ants

A bunch of ants are left inside a very, very, tight tube, and they keep colliding with each other and turning around. How long will it take them to escape?

##### Neural networks fundamentals with Python β backpropagation

The third article of this short series concerns itself with the implementation of the backpropagation algorithm, the usual choice of algorithm used to enable a neural network to learn.

##### Neural networks fundamentals with Python β network & loss

In the second article of this short series we will create a class for a generic neural network and we will also see how to assess the quality of the output of a network, essentially preparing ourselves to implement the backpropagation algorithm.

##### Chaining comparison operators | Pydon't π

Learn the ins and outs of comparison operator chaining, and especially the cases you should avoid.

##### Neural networks fundamentals with Python β intro

This is the first article in a series to implement a neural network from scratch. We will set things up in terms of software to install, knowledge we need, and some code to serve as backbone for the remainder of the series.