Numpy Python Weather data overview part20 [w/ subs]



00:00:00 – in this chapter we are going to do some
00:00:02 – practical experiments with numpy the
00:00:05 – very important python package that has
00:00:07 – many functions to manage data in a form
00:00:09 – and that provides a foundation for many
00:00:12 – other more specialized python packages
00:00:14 – and tools will experiment with
00:00:16 – historical weather data going back 50
00:00:18 – years and sometimes more
00:00:20 – we're going to do a lot we're going to
00:00:23 – load station and temperature data from
00:00:26 – publicly available text files from the
00:00:28 – National Oceanic and Atmospheric
00:00:29 – Administration we're going to plot
00:00:32 – temperature data and we realize that to
00:00:35 – do so effectively we first need to
00:00:37 – integrate missing data and to smooth
00:00:40 – them we will compute the daily records
00:00:42 – at a given location and finally for your
00:00:45 – challenge i will ask you to compare the
00:00:48 – warmest year of a called location with a
00:00:51 – call this year of a warm


Video Url:
http://youtu.be/vmd1hDu1DE0

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