In this post, I’ll look at Python for Data Analysis and Practical Statistics for Data Scientists, two books that will help deepen your command of the coding and math skills required to master ...

Check out this latest Python programming language book from No Starch Press, to do with 'hacking' maths - Math Adventures with Python. It's written by Peter Farrell with the stated aim of "harnessing ...

Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to ...

Using NumPy for array and matrix math in Python. Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

Sympy doesn't use the default Python int and float, because it provides more control. If you have an expression that contains only numbers, the default Python types are used. If you want to use the ...

Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math ...

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

This work-in-progress (research-to-practice) paper describes our approach to designing a General Education (GE) Math course, aimed at enabling students not majoring in Computer Science (CS) to learn ...