Pinned Repositories
5minutesofpython
some python notebooks for fun
ai_summit_sf_2019
Notes from AI Summit (San Francisco) in 2019
australia-gravity-data
Compilation of all Geoscience Australia ground gravity data distributed in a netCDF file with CF-compliant metadata
bls_salary
Analyze salary data from Bureau of Labor Statistics
census-parser
Scripts for dealing with U.S. Census data
census-shape-download
census-viz
Data munging and shiny visualization of census bureau data
PyCon2017
Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/
pycon_time_series
PyCon 2017 tutorial on time series analysis
ikding's Repositories
ikding/PyCon2017
Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/
ikding/5minutesofpython
some python notebooks for fun
ikding/ai_summit_sf_2019
Notes from AI Summit (San Francisco) in 2019
ikding/australia-gravity-data
Compilation of all Geoscience Australia ground gravity data distributed in a netCDF file with CF-compliant metadata
ikding/dask-tutorial
Dask tutorial
ikding/data_sci_job_search
ikding/em-notebooks
a collection of jupyter notebooks that use SimPEG.EM
ikding/escape-from-automanual-testing
A three-hour tutorial on property-based testing with https://hypothesis.works
ikding/exchange_website
Website that I set up when I was an exchange student in 2003-2004.
ikding/exoconvection-apj-2020
Code for the paper
ikding/foss2gna_2023
Notes from FOSS4GNA 2023 @ Baltimore
ikding/geo_image_processing_tutorial
Transform 2020 Geologic Image Processing Tutorial
ikding/GeostatsPy_Intro_Course
Introduction to spatial data analytics and machine learning with GeostatsPy Python package
ikding/heagy-2018-AEM
Notebooks and python scripts to reproduce the figures shown in "Open source software for simulations and inversions of airborne electromagnetic data," submitted to the AEM 2018 workshop
ikding/hello_pyqt5
My own attempt at learning and playing with pyqt5
ikding/ikding.github.io
My GitHub user page
ikding/interpretable_machine_learning_with_python
Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.
ikding/kang-2018-spectral-inducedpolarization
Inversions of time-domain spectral induced polarization data using s1retched exponential
ikding/pelican-embed-tweet
Embedding tweets into your Pelican blog posts.
ikding/pokemon.json
Pokemon dataset in JSON.
ikding/pycon_2017
Notes from PyCon 2017 @ Portland
ikding/pycon_2018
Notes from PyCon 2018 @ Cleveland
ikding/pycon_2019
Notes from PyCon 2019 @ Cleveland
ikding/python_code_quality_for_ds
ikding/resume
Building a resume using nothing but YAML files and Python. A prototype.
ikding/reveal.js
The HTML Presentation Framework
ikding/simpeg
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
ikding/transform-2020-simpeg
notebooks for the Transform 2020 tutorial on Simulations and inversions with SimPEG
ikding/workday_print
ikding/xkcd_red_spider_3d
Reenactment of XKCD comic's red spider scenes with PyVista