Projects

Hacking, explorations, stuff.

Learning: neither Deep nor Machine, just Human

My (wish) list of things to learn.

Machine Learning

On one side I am intrigued by Data Analysis and Visualization (see some of my D3 [et al.] blocks, Observable notebooks or my R project)…

Maps and map projections

The impossible flattening of the Earth

GIS

Maps

D3

The following are some maps I coded and of which I am very proud of.

PyCalCal

Calendrical Algorithms in Python

Calendrica

Python

PyCalCal is a Python implementation of the algorithms from the reference Common Lisp of the book Calendrical Calculation (Dershowitz and Reingold 2008). You can read more at https://github.com/espinielli/pycalca…

Data science and R

Data science using the R programming language and all of its fantastic ecosystem.

Data Analysis is big part of my daily job and I am promoting the use of R for reproducibility, exploratory data analysis and for visualization too (using for example Hadl…

nvctr

An R data package for geographical position calculations using an ellipsoidal model of Earth

R

The nvctr R package implements the n-vector approach to geographical position calculations using an ellipsoidal model of Earth as described in (Gade 2010) (see also the n…