Greg Reda gjreda

## tmux-cheatsheet.markdown

      
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                MohamedAlaa
                / tmux-cheatsheet.markdown
            
            
              Last active
              July 30, 2024 04:25
            
              
                tmux shortcuts & cheatsheet
              
          
    tmux shortcuts & cheatsheet

start new:
tmux

start new with session name:
tmux new -s myname


## business-models.md

      
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                ndarville
                / business-models.md
            
            
              Last active
              January 13, 2024 17:27
            
              
                Business models based on the compiled list at http://news.ycombinator.com/item?id=4924647. I find the link very hard to browse, so I made a simple version in Markdown instead.
              
          
    Business Models

Advertising


Models
Examples


Display ads
Yahoo!


Search ads
Google


## heatmat.py
import matplotlib.pyplot as plt
import numpy as np
column_labels = list('ABCD')
row_labels = list('WXYZ')
data = np.random.rand(4,4)
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)

# put the major ticks at the middle of each cell
ax.set_xticks(np.arange(data.shape[0])+0.5, minor=False)

## onehot_pandas_scikit.py
# -*- coding: utf-8 -*-
""" Small script that shows hot to do one hot encoding
    of categorical columns in a pandas DataFrame.

    See:
    http://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder
    http://scikit-learn.org/dev/modules/generated/sklearn.feature_extraction.DictVectorizer.html
"""
import pandas
import random

## .block
license: apache-2.0

## letor_metrics.py
# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause

import numpy as np


def ranking_precision_score(y_true, y_score, k=10):
    """Precision at rank k

    Parameters

## threes_simulation.py
# standard library
import sys
import random
import time

# need to pip install selenium
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException

## slopegraphs.py
# Slopegraphs in matplotlib
# Trey Causey (@treycausey)
# Problems arise when equal values occur
# within the same time unit

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

units = ['A', 'B', 'C', 'D']

## redshift.sql
-- Gets all queries for a given date range
select starttime, endtime, trim(querytxt) as query
from stl_query
where starttime between '2014-11-04' and '2014-11-05'
order by starttime desc;

-- Gets all queries that have been aborted for a given date range
select starttime, endtime, trim(querytxt) as query, aborted
from stl_query
where aborted=1

## Lognormref.ipynb

      
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                phobson
                / Lognormref.ipynb
            
            
              Last active
              September 17, 2020 16:35
            
              
                Lognormal python ref
              
          
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	import matplotlib.pyplot as plt
	import numpy as np
	column_labels = list('ABCD')
	row_labels = list('WXYZ')
	data = np.random.rand(4,4)
	fig, ax = plt.subplots()
	heatmap = ax.pcolor(data, cmap=plt.cm.Blues)

	# put the major ticks at the middle of each cell
	ax.set_xticks(np.arange(data.shape[0])+0.5, minor=False)
	# -- coding: utf-8 --
	""" Small script that shows hot to do one hot encoding
	of categorical columns in a pandas DataFrame.

	See:
	http://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder
	http://scikit-learn.org/dev/modules/generated/sklearn.feature_extraction.DictVectorizer.html
	"""
	import pandas
	import random
	# (C) Mathieu Blondel, November 2013
	# License: BSD 3 clause

	import numpy as np


	def ranking_precision_score(y_true, y_score, k=10):
	"""Precision at rank k

	Parameters
	# standard library
	import sys
	import random
	import time

	# need to pip install selenium
	from selenium import webdriver
	from selenium.webdriver.common.keys import Keys
	from selenium.common.exceptions import NoSuchElementException
	# Slopegraphs in matplotlib
	# Trey Causey (@treycausey)
	# Problems arise when equal values occur
	# within the same time unit

	import matplotlib.pyplot as plt
	import numpy as np
	import pandas as pd

	units = ['A', 'B', 'C', 'D']
	-- Gets all queries for a given date range
	select starttime, endtime, trim(querytxt) as query
	from stl_query
	where starttime between '2014-11-04' and '2014-11-05'
	order by starttime desc;

	-- Gets all queries that have been aborted for a given date range
	select starttime, endtime, trim(querytxt) as query, aborted
	from stl_query
	where aborted=1