Lion Krischer krischer

## pandas.ipynb

      
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              Created
              March 25, 2013 11:26
            
              
                Simple log analysis with Pandas
              
          
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## embarrassingly_parallel.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Simple script illustrating how to perform embarrassingly parallel computations
in Python using MPI/mpi4py. I like this approach a lot as its very easy to get
right without having to deal with the complications arising from forked
processes which the multiprocessing module uses.

This script can be executed with or without `mpirun`; it will just run on one
core if not executed with it. With some more logic its also possible to make

## anna.ipynb

      
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              May 4, 2023 08:42
            
              
                anna.ipynb
              
          
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## colormaps.ipynb

      
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              Created
              November 23, 2014 22:50
            
              
                Perceptually Uniform Colormaps in Matplotlib
              
          
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## syngine_obspy.ipynb

      
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              Created
              November 26, 2015 14:56
            
              
                Syngine with ObsPy
              
          
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## relative_calibration.ipynb

      
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              March 15, 2019 22:27
            
              
                Synthetic relative calibration example
              
          
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## cSDL.pyx
cdef extern from "i386/types.h" nogil:
    ctypedef signed char int8_t
    ctypedef short int16_t
    ctypedef int int32_t
    ctypedef long long int64_t

cdef extern from "iconv.h" nogil:
    ctypedef void *iconv_t

cdef extern from "stdlib.h" nogil:

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script src="http://d3js.org/topojson.v1.min.js"></script>
<script>

    // The size of the map.
    var width = 960;
    var height = 500;

## get_all_stations.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Requires Python >= 3.5, aiohttp, and pandas.

$ pip install aiohttp pandas

Upon running it will create a file 'networks_stations.json' which contains all
stations it could find across FDSN web service capable data centers. For each
station it contains the epochs and coordinates.

## CPUTempCollector.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Custom collector for

Requires PySensors.

:copyright:
    Lion Krischer, 2017
:license:
	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""
	Simple script illustrating how to perform embarrassingly parallel computations
	in Python using MPI/mpi4py. I like this approach a lot as its very easy to get
	right without having to deal with the complications arising from forked
	processes which the multiprocessing module uses.

	This script can be executed with or without `mpirun`; it will just run on one
	core if not executed with it. With some more logic its also possible to make
	cdef extern from "i386/types.h" nogil:
	ctypedef signed char int8_t
	ctypedef short int16_t
	ctypedef int int32_t
	ctypedef long long int64_t

	cdef extern from "iconv.h" nogil:
	ctypedef void *iconv_t

	cdef extern from "stdlib.h" nogil:
	<!DOCTYPE html>
	<meta charset="utf-8">
	<body>
	<script src="http://d3js.org/d3.v3.min.js"></script>
	<script src="http://d3js.org/topojson.v1.min.js"></script>
	<script>

	// The size of the map.
	var width = 960;
	var height = 500;
	#!/usr/bin/env python3
	# -- coding: utf-8 --
	"""
	Requires Python >= 3.5, aiohttp, and pandas.

	$ pip install aiohttp pandas

	Upon running it will create a file 'networks_stations.json' which contains all
	stations it could find across FDSN web service capable data centers. For each
	station it contains the epochs and coordinates.
	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""
	Custom collector for

	Requires PySensors.

	:copyright:
	Lion Krischer, 2017
	:license: