G.E.McKenzie's repositories

100_Days_of_Code

The idea is to code frequently enough that solutions, design, and integration of the codes listed will become more intuitive. I.e less googling and better workflow ;)

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AstronomicalData

An introduction to working with astronomical data in Python.

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awesome-gee-community-datasets

Community Datasets added by users and made available for use at large

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BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

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cira_ml_short_course

Notebooks for CIRA (Cooperative Institute for Research in the Atmosphere) machine-learning short course.

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climetlab

Python package to easy access to weather and climate data

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CompStats

Code for a workshop on statistical interference using computational methods in Python.

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dask-tutorial

Dask tutorial

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dream_blog

A simple blog built with Django and Bootstrap4

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ecmwf-api-client

Python API to access ECMWF archive

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HelioML

A book about machine learning, statistics, and data mining for heliophysics

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hiring-without-whiteboards

⭐️ Companies that don't have a broken hiring process

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intro_stat_modeling_2017

Introduction to Statistical Modeling with Python (PyCon 2017)

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metview-python

Python interface to Metview meteorological workstation and batch system

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ML-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

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ml-physics-notebooks

Machine Learning for Physics and Astronomy Learning Check-ins

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python-training-1

Notebooks teaching Python for use meteorology and atmospheric and climate sciences.

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scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

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siphon

Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server.

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tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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The-Python-Graph-Gallery

A website displaying hundreds of charts made with Python

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ThinkBayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

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ThinkComplexity2

Book and code for Think Complexity, 2nd edition

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ThinkDSP

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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