Alphabetical

Alphabetical

Important

52 Things organised Alphabetically

  1. In Praise of Small Tools, or a short Ode to the CommandLine - Martin Bentley

  2. Best Practices are not (always) the best approach - Martin Bentley

  3. Domain-Driven Design in Geocomputing - Austin Bingham

  4. Turn data into colours - Bert Bril

  5. Is Geology Cartesian? - Caumon & Levy

  6. General purpose GPU programming - Jesper Dramsch

  7. Software, software, everywhere, but which ones should I choose? - Chris Ennen

  8. Reproducible Research - Sergey Fomel

  9. Seismic Data Encryption - Gram Gansle

  10. Standing on the Shoulders of the Guy in the UK Office - Justin Gosses

  11. My favourite 10-line program - Dave Hale

  12. What’s so special about geoscience? - Matt Hall

  13. Crossplots on the boardroom table - Eirik Larsen

  14. Hardware is hard: teaching geotech - John Leeman

  15. ‘Digitalization,’ from Harry Nyquist to the ‘edge’ of the internet - Neil McNaughton

  16. The Steady Advance of Linux - Bill Menger

  17. Software Challenges in Oil and Gas - Bill Menger

  18. Prototype colourmaps for fault interpretation - Matteo Niccoli

  19. How to teach geoscience students to code - Jan Niederau

  20. Simple Machine Learning: A Mini Tutorial - Didi Ooi

  21. Learn Javascript - Steve Purves

  22. Open source geostatistical geomodelling - Michael Pyrcz

  23. Machine Learning for Geological Modeling - Michael Pyrcz

  24. Use standard, not specialized, file and problem formats - Alan Richardson

  25. I hate computers - Alberto Rusic

  26. Quality Checking your Spatial Data - Hassan Sabirin

  27. Serverless computing - James Selvage

  28. How to teach geoscience students to code - Andrew D. Steen

  29. De profundis: of well depth - Martin Storey

  30. Overcoming the tyranny of formats - John Thurmond

  31. GemPy: 3D Structural Geomodeling in Python - Miguel de la Varga & Alexander Schaaf

  32. A Geological Model is a Single Hypothesis - of Many Possible Ones - Florian Wellmann

  33. Why use virtual outcrops? - Adam Cawood et al.

  34. R, RStudio, and the tidyverse for Geocomputing - Dewey Dunnington

  35. The obsolete geoscientist - Andrew Pethick

  36. What is scientific computing? - Matt Hall

  37. Keep on improving your geocomputing projects - Matteo Niccoli

  38. Some advice on reproducing figures - Matteo Nicoli

  39. Arm-wavers Anonymous - Jesse Pisel

  40. My name is bot, geobot - Robert Leckenby

  41. The grammar of graphics - Dewey Dunnington

  42. 5 Minute Intro to HPC - George Bisbas

  43. Speeding things up - Evan Saltman

  44. Getting started in Geocomputing can seem daunting but it doesn’t need to be! - Darren Kondrat

  45. The Pheonix - Ágoston Sasvári

  46. The Virtual Geoscience Revolution: From William Smith to Lidar - John Howell & Brian Burnham

  47. The Virtual Geoscience Revolution: Beyond Lidar – the democratization of Virtual Outcrops - John Howell & Brian Burnham

  48. Human neural networks in geocomputing - Tyler Newton

  49. Building Technical Communication Tools - Rowan Cocket

  50. Some advice from a fractured reservoir modeler to his younger self - Steve Rogers

  51. SEG-Y: Judging books by their covers - Chris Dinneen

  52. Why use virtual outcrops? - Clare Bond