transform2020-getting-started-python

Tutorial: Getting Started with Python

DATE: Monday June 8, 2020 08:00 - 11:00 UTC

AUDIENCE: Beginner

INSTRUCTOR: Robert Leckenby, Digital Geoscientist, Agile

Video Stream:

Welcome

Welcome to Transform 2020 and to Getting Started with Python! This session is open to all but is aimed at people who have never coded at all or who don't know Python. Ideally you should have watched the setup videos for Windows or Linux and/or followed the instructions in the Installation guide for the tutorials that contained the information in those videos and more. This session is meant as a demo but if you followed those installation steps, you should be able to follow along.

All session details are available here.

Agenda

START:       08.00 UTC

BREAK:      09.30 UTC

RESUME:   09.40 UTC

END:           11.00 UTC

Content

• Simple math, logic and flow control
• Modelling Darcy's law with a function
• Computing fold wavelengths with the Ramberg-Biot equation
• Geophysical wavelets with bruges
• Mapping DEM's with matplotlib
• Data wrangling and QC well data with welly
• Scanning a seismic cube with segyio

Set up

The anaconda documentation tells us that: "A conda environment [...] contains a specific collection of conda packages that you have installed." We use these environments to isolate different projects.

We will be using an environment called transform2020 (but you can call it whatever you wish) that was created with:

conda create --name transform2020 python=3.7 anaconda

We then also install the welly, segyio and bruges packages to import *.las and *.sgy files and to perform geophysical calculations. First we activated the environment:

conda activate transform2020

and then installed the additional libraries:

pip install welly segyio bruges

You can then access this environment inside a jupyter notebook using one of two methods:

1. By running pip install nb_conda_kernels in base and then running jupyter notebook with base activated.
2. By running python -m ipykernel install --user --name transform2020 after creating the transform2020 environment and then running jupyter notebook with either base or transform2020 activated.

In both cases you then need to select the transform2020 environment by selecting Kernel>Change kernel>kernel name in the jupyter notebook browser window.