Pinned Repositories
cartopy
Cartopy - a cartographic python library with matplotlib support
cf_units
Units of measure as required by the Climate and Forecast (CF) metadata conventions.
CO528_Assessment2
My coursework for CO528 Assessment 2 where I must solve a neural networks problem.
conda-execute-feedstock
A conda-smithy repository for conda-execute.
courses
Python courses for the scientific researcher
ez-lidar-python
iris
A powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.
LIDAR
first commit of LIDAR IDL code
LIDAR_Project
A Python package for viewing of LIDAR Data while in the air in collaboration with @MetOffice .
scitools.org.uk
The contents of the www.scitools.org.uk website.
LukeC92's Repositories
LukeC92/ez-lidar-python
LukeC92/cartopy
Cartopy - a cartographic python library with matplotlib support
LukeC92/cf_units
Units of measure as required by the Climate and Forecast (CF) metadata conventions.
LukeC92/CO528_Assessment2
My coursework for CO528 Assessment 2 where I must solve a neural networks problem.
LukeC92/conda-execute-feedstock
A conda-smithy repository for conda-execute.
LukeC92/courses
Python courses for the scientific researcher
LukeC92/iris
A powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.
LukeC92/LIDAR
first commit of LIDAR IDL code
LukeC92/LIDAR_Project
A Python package for viewing of LIDAR Data while in the air in collaboration with @MetOffice .
LukeC92/scitools.org.uk
The contents of the www.scitools.org.uk website.
LukeC92/dask-pydata-dc-2016
Dask tutorial for PyData DC 2016
LukeC92/env_pages
LukeC92/GOL_LC
Trying to get my Game of Life on here
LukeC92/iris-grib
GRIB interface for Iris.
LukeC92/iris-sample-data
LukeC92/iris-test-data
LukeC92/my-first-heroku-tornado-app
An example of a hello world app that uses tornado as a webservice, and Heroku for hosting
LukeC92/nc-time-axis
Support for netcdftime axis in matplotlib.
LukeC92/pandas_tutorial
Pandas tutorial for SciPy2015 and SciPy2016 conference
LukeC92/pete_dask
LukeC92/puzzle11
The 11 piece puzzle from intelligent systems, hope I can change this description because I'm not initializing with a README
LukeC92/requests
Python HTTP Requests for Humans™ ✨🍰✨