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Hello, GitHub

About Me

My name is Darrell Carvalho. I am a broadly trained Geographer completing my graduate studies. I have a deep passion for all things geospatial, with a special focus on urban transportation, geodemographics, and open data.

My favorite change to Python is the introduction of f"strings" in Python 3.6+; for the uninitiated, it created a much simpler and syntax for inserting values stored in variables into string literals:

w = "World!" # we store an item in a variable
print(f"Hello, {w}") # returns "Hello, World!" by inserting the w variable into the string

Professional and Community Service

šŸ”­ Iā€™m currently working on:

Self-Directed Learning

šŸ“š Iā€™m currently reading:

I'm currently watching: Geographic Software Design

Intellectual Interests

šŸ’­ Topics that fascinate me:

  1. Urban Transporation
  2. Urban Data Science
  3. History of Emotions
  4. World History
  5. R/RStudio
  6. Python
  7. PostgreSQL/PostGIS
  8. History of Urbanism and Anti-Urbanism
  9. Mobilities
  10. Open Source Intellience

Darrell Carvalho's Projects

census_tidy icon census_tidy

My readthrough of Kyle Walker's "Analyzing US Census Data"

colabnotebooks icon colabnotebooks

Created for Geog 501, Spring 2024, but may contain further notebooks in future.

comberbrunsdonread icon comberbrunsdonread

My readthrough of "Geographical Data Science & Spatial Data Analysis: An Introduction in R"

ebt_restaurants icon ebt_restaurants

Personal project mapping restaurants listed as accepting EBT's hot meals program in Los Angeles County

geocompr icon geocompr

Open source book: Geocomputation with R

geocompr2e_workthrough icon geocompr2e_workthrough

This acts as a repository of my personal study of the in-progress "Geocomputation in R" 2nd Edition by Lovelace et al.

practmachlearnr icon practmachlearnr

My scripts/exercises from working through "Practical Machine Learning in R" by Nwanganga and Chapple

rineasysteps icon rineasysteps

A repository of my exercises working through Mike McGrath's "R for Data Analysis in easy steps"

umich-workshop-2024 icon umich-workshop-2024

Slides and code for workshops given with the University of Michigan's SSDAN in 2024

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