Rich Lysakowski richlysakowski

## index.html
<canvas id="canvas1"></canvas>
<canvas id="canvas1"></canvas>
<p>This is an advanced flow field example. Step-by-step process explained for beginners here: <a href='https://www.youtube.com/frankslaboratory' target='_blank'>youtube.com/frankslaboratory</a></p>

## conda_compare.py
#!/usr/bin/env python2

"""
quicky script that compares two conda environments

can be handy for debugging differences between two environments

This could be made much cleaner and more flexible -- but it does the job.

Please let me know if you extend or improve it.

## apache-superset-on-windows10.md

      
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                richlysakowski
                / apache-superset-on-windows10.md
            
            
              Created
              April 8, 2021 05:25
                — forked from mark05e/apache-superset-on-windows10.md
            
              
                Installing Apache Superset on Windows 10
              
          
    Installing Apache Superset on Windows 10

⚠️ WARN: This doc might be outdated. Use with caution. Only tested with Python v3.7
🙋‍♂️ INFO: If you have fixes/suggestions to for this doc, please comment below.
🌟 STAR: This doc if you found this document helpful.


## days_in_month-and-leap_functions.py

# Number of days per month. First value placeholder for indexing purposes.
month_days = [0, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]


def is_leap(year):
    """Return True for leap years, False for non-leap years."""

    return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)

## my_first_chart.py
# coding: utf-8
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.pyplot import figure

zt = np.arange(0,2.5,0.1)
y1 = np.sin(math.pi*t)
y2 = np.sin(math.pi*t+math.pi/2)
y3 = np.sin(math.pi*t-math.pi/2)
plt.plot(zt, y1, 'b*',  zt, y2,'g^',  zt, y3, 'rs')
	<canvas id="canvas1"></canvas>
	<canvas id="canvas1"></canvas>
	<p>This is an advanced flow field example. Step-by-step process explained for beginners here: <a href='https://www.youtube.com/frankslaboratory' target='_blank'>youtube.com/frankslaboratory</a></p>
	#!/usr/bin/env python2

	"""
	quicky script that compares two conda environments

	can be handy for debugging differences between two environments

	This could be made much cleaner and more flexible -- but it does the job.

	Please let me know if you extend or improve it.

	# Number of days per month. First value placeholder for indexing purposes.
	month_days = [0, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]


	def is_leap(year):
	"""Return True for leap years, False for non-leap years."""

	return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)
	# coding: utf-8
	import matplotlib.pyplot as plt
	import numpy as np
	from matplotlib.pyplot import figure

	zt = np.arange(0,2.5,0.1)
	y1 = np.sin(math.pi*t)
	y2 = np.sin(math.pi*t+math.pi/2)
	y3 = np.sin(math.pi*t-math.pi/2)
	plt.plot(zt, y1, 'b*', zt, y2,'g^', zt, y3, 'rs')