Showing entries tagged [metpymonday]

MetPy Mondays #4 - Units in MetPy

I remember the first class I took in which the professor required that we include units by every quantity in every step of every calculation we did… or it was wrong. I thought this policy was a bit harsh, but after one or two assignments, I was getting the hang of it. By the end of the semester I realized that it was insane to work any other way. In science, we are dealing with physical quantities that represent things in the real world – and things in the real world have units. Keeping track of units throughout a calculation caught many errors I made while solving and rearranging equations. If keeping track of units on paper is a good idea, why is computing any different? In this MetPy Monday, we'll look at how MetPy uses units and how to convert between different units.

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MetPy Mondays #3 - Conda Environments

Have you ever had to manually change your path to switch between Python 2.7 and Python 3? Have you broken your research environment by installing a new package to try? Have you ever wanted to take a snapshot and backup your current Python environment? If so, you'll love Conda environments! This week we show you how to setup your own Python environments and switch between them. We also cover how to create a file defining your environment so others can recreate it. It's another video MetPy Monday!

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MetPy Mondays #1 - Conda Installation

Welcome to MetPy Mondays! This week we're going to start off by getting your Python environment up and running. We will install Miniconda, a product of Continuum Analytics. Conda is a Python environment and package manager that makes managing various versions of Python and packages a breeze.

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