(Spatial) Data Science: A Few Thoughts for Students
What do you say when someone asks: “I’m working on a course assignment… to gain insights into the [data science] industry”? Continue reading →
Continue reading »The latest outputs from researchers, alumni and friends at the UCL Centre for Advanced Spatial Analysis (CASA).
What do you say when someone asks: “I’m working on a course assignment… to gain insights into the [data science] industry”? Continue reading →
Continue reading »Posted here because I will inevitably forget this painfully worked-out answer for having legends for two different types of plots in Seaborn… import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt # We ……
Continue reading »Recently, I have been teaching a Full-stack development bootcamp at CodeOp (great experience!). When the students reached project phase, I was very pleased to see a lot of interest in using maps. And that is easy to understand, right? geospatial … Continue reading →
Continue reading »Recently, I have been teaching a Full-stack development bootcamp at CodeOp (great experience!). When the students reached project phase, I was very pleased to see a lot of interest in using maps. And that is easy to understand, right? geospatial … Continue reading →
Continue reading »Recently, I was asked to give talks at both UCL’s CASA and the ETH Future Cities Lab in Singapore for students and staff new to ‘urban data science’ and the sorts of workflows involved in collecting, processing, analysing, and reporting on … Continue reading →
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