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

You can also subscribe to the blog newsletter.

Today I learned that Python 3.5+ supports the operator @ for matrix multiplication.

Today I learned that you can use emojis as variable names in Python if you use pythonji.

Today I learned that Python generators can return a value.

Today I learned about the built-in function vars in Python.

Today I learned that the .join method in Python is a two-pass algorithm, and that's why joining a list comprehension is faster than a generator expression.

Today I learned about the math.nextafter method.

This Pydon't will teach you how to use Python's conditional expressions.

Today I learned that files can also be unpacked in Python.

This Pydon't will teach you how the basics of list comprehensions in Python.

Today I learned strings can also be unpacked in Python.

Today I learned about an algorithm that Python uses to sort out inheritance.

Today I learned about the ICPO rule for attribute lookup in Python.

Today I learned how to do ceiling division in Python just with //.

This Pydon't will teach you how to use the set and frozenset Python built-in types.

In this Pydon't you'll learn how to make the best use possible of the Python REPL.

In this Pydon't you will learn the Python string methods translate and maketrans.

In this Pydon't you'll learn the importance of using good names and I'll give some tips to help you.

In this article of the NNFwP series we'll do the “teacher-student” experiment with two neural networks, where one network will learn directly from the other.

In this Pydon't I talk about Python style and I go over some tools you can use to help you remain within a consistent style.

In this Pydon't I show you why refactoring is important and show you how to do it in little steps, so that it doesn't become too overwhelming.