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@jqtrde
jqtrde / archinstall.md
Created June 4, 2017 19:43 — forked from miguelfrde/archinstall.md
Preinstalled Windows 8.1 and Arch Linux dual boot

Arch Linux installation (preinstalled Windows 8.1 dual boot)

Before

  1. Disable Windows Fast-Startup
  2. Disable Secure Boot

Partitioning

@jqtrde
jqtrde / WORKSHOP.md
Created August 22, 2017 15:15 — forked from aman-tiwari/WORKSHOP.md
Document containing install instructions and cool links for the Making Maps with ML workshop!

Messing with Maps and ML quickstart

This document: https://goo.gl/AqGoE8

Installation instructions

By far the most annoying part of getting started with messing with ML is installing researcher-made code and turning it into something fun to play with.

Before doing any of these, please install Miniconda. If you don't have it installed already, here's how:

For OSX, this is:

@jqtrde
jqtrde / .Xresources
Created September 3, 2017 14:07 — forked from VovanR/.Xresources
Atom One Light color theme for xterm and urxvt
! Atom One Light theme
xterm*background: #f9f9f9
xterm*foreground: #383a42
xterm*cursorColor: #d0d0d0
xterm*color0: #000000
xterm*color1: #E45649
xterm*color2: #50A14F
xterm*color3: #986801
xterm*color4: #4078F2
xterm*color5: #A626A4
@jqtrde
jqtrde / syllabus.md
Created November 13, 2017 02:32
Stanford's Stats 385 - Theories of Deep Learning
@jqtrde
jqtrde / maptime.md
Last active July 31, 2020 15:09
Maptime Presentation

Hi, and welcome!

We love pixels. We build our tools such that they allow us to work with pixels at a wide range of scales, from individual landsat scenes, to global mosaics, via command line programs or as python libraries we can integrate into large processing pipelines.

Today we'll walk through:

  • processing an individual Landsat scene using rasterio, a tool which serves as the foundation for most of our work
  • uploading the outputs of ^ to Mapbox, where we can visualize it on top of mapbox.satellite, and serve it globally at crazy speed
@jqtrde
jqtrde / README.md
Created January 25, 2018 05:35
A nice little geojson renderer for Jupyter Lab.
$ pip install jupyterlab
$ jupyter labextension install @jupyterlab/geojson-extension