Hi, I'm Samuel Hinton

I'm an author, data scientist, astrophysicist, software engineer, educator, and pizza lover.

Status Update

Moved into Renewables

Moved career, city, country, and continent. Whilst things settle down and a new rhythm develops I ask your patience. I'll try and keep posting updates as possible.

Books

I'm a various reader of fantasy novels, especially progression based fantasy. So much so that I decided to contribute to the literature.

Latest Blogs

Writing, life, outreach and random things. Many more are available here!

writing

Soul Relic Prologue

A brief snippet teasing much more to come!

writing

The Continent of Rhodus

Detailing the world for my upcoming fantasy novel.

travel

A weekend in Scotland

Visiting the Isle of Skye for some amazing views.

Book Reviews

For those loving progression fantasy and LitRPG, here are my latest reviews. More available here, of course!

How to Defeat a Demon King in Ten Easy Steps

Chris Fox's Shattered Gods Series

Matt Dinninman's 'Dungeon Crawler Carl'

Latest Tutorials

Visualisation, machine learning, modelling, statistics and other code tutorial and math tutorials from over the years. Many more are available here!

statistics

Finding the best Wordle opening

Applying Python data analysis to determine the optimial wordle opening word and follow ups.

snippet

Merging dicts with the union operator

Python 3.9 introduced a new operator to streamline unions.

snippet

Simple Multiprocessing in Python

Comparing inbuilt solutions to a range of external libraries.

Courses

I've partnered with SuperDataScience to produce several high quality Python courses in the area of statistics and data manipulation.

Python for Statistical Analysis

Statistics and hypothesis testing using modern tools and workflows all in Python. For those that want to brush up on their statistics and analytics using modern tools and practical problems.

Learn more

Data Manipulation in Python

Data wranging with Pandas made fast, efficient, and easy. Learn how to manipulate, transform, aggregate, visualise, and summarise data using best practices.