Tim Hopper tdhopper

## custom instructions.md

      
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                tdhopper
                / custom instructions.md
            
            
              Created
              January 29, 2024 19:44
            
              
                My current ChatGPT custom instructions
              
          
Call me "Tim"
Be terse. No yapping.
Suggest solutions I didn't think about—anticipate my needs
Treat me as an expert
Be accurate and thorough
Code first, then detailed explanation; restate query if needed
No moral lectures
Discuss safety only when crucial and non-obvious
Cite sources at the end, not inline
Omit knowledge cutoff and AI status


## dataframe to kml
import simplekml
kml = simplekml.Kml()
df.apply(lambda X: kml.newpoint(name=X["name"], coords=[( X["longitude"],X["latitude"])]) ,axis=1)
kml.save(path = "data.kml")

## .editorconfig
# http://editorconfig.org/#file-format-details
root = true

[*]
charset = utf-8
end_of_line = lf
indent_size = 4
indent_style = space
insert_final_newline = true
trim_trailing_whitespace = true

## lda.py
from scipy.stats import dirichlet, poisson
from numpy.random import choice


num_documents = 5
num_topics = 2
topic_dirichlet_parameter = 1 # beta
term_dirichlet_parameter = 1 # alpha
vocabulary = ["see", "spot", "run"]
num_terms = len(vocabulary)

## rasterize.ipynb

      
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                tdhopper
                / rasterize.ipynb
            
            
              Created
              November 6, 2020 16:05
            
          
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## .dockerignore
data/
.env/
__pycache__
.ipynb_checkpoints

## .gistup
gistup

## .gistup
gistup

## .gistup
gistup

## weather.sh
curl http://api.openweathermap.org/data/2.5/weather?q=27560 | /usr/local/bin/jq .main.temp | awk '{print $1 * 9.0 / 5 - 459.67}' OFMT="NC:%2.0f°"
	import simplekml
	kml = simplekml.Kml()
	df.apply(lambda X: kml.newpoint(name=X["name"], coords=[( X["longitude"],X["latitude"])]) ,axis=1)
	kml.save(path = "data.kml")
	# http://editorconfig.org/#file-format-details
	root = true

	[*]
	charset = utf-8
	end_of_line = lf
	indent_size = 4
	indent_style = space
	insert_final_newline = true
	trim_trailing_whitespace = true
	from scipy.stats import dirichlet, poisson
	from numpy.random import choice


	num_documents = 5
	num_topics = 2
	topic_dirichlet_parameter = 1 # beta
	term_dirichlet_parameter = 1 # alpha
	vocabulary = ["see", "spot", "run"]
	num_terms = len(vocabulary)