Mahdisadjadi

In Pyspark, you can use:

persisted_RDDs = spark.sparkContext._jsc.getPersistentRDDs()
for (i, rdd_) in persisted_RDDs.items():
    rdd_.unpersist()

spark is of type pyspark.sql.session.SparkSession.

Mahdisadjadi

Github can render LaTeX equations in jupyter notebooks but directly embedding equations in markdown files don't work. Solution is to embed URL correspondingto LaTeX equation. The page below shows how to convert LaTeX to URL. All the credit goes to this gist and its comments.

How it works:

https://jsfiddle.net/8ndx694g/

Example:

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Mahdisadjadi

# Create a triangle + label of vertices


import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

fig, ax = plt.subplots(1,1,figsize=(5,5))
ax.plot(*coordinates[bonds].T, '-o', lw=3);
for i, p in enumerate(coordinates):

Mahdisadjadi

def isFlipped(sites1, sites2, bonds):
    """
    Check if neighbors of a vertex 
    have changed the cyclic order.
    """
    
    def sortClockwiseAroundVertex(coordinates, root, neighbors):
        '''
        Sort the neighbors of a vertex, 
        such that the one with lowest index 

Mahdisadjadi

"""
Mahd Sadjadi (2018)
This is a set of functions to compute the 
energy barrier between two spring networks. 
The morphing is done using the linear interpolation.

Example:
-------
s1 = np.random.rand(10,2)
s2 = np.random.rand(10,2)

Mahdisadjadi

def pointAlignment(ref, move):
    """
    Mahd Sadjadi (2017)
    This is a function which takes two sets of
    points each with N points (both inputs are assumd to be
    numpy arrays of N*2 shape). The first input is 
    the reference grid and the second is the point set to 
    be aligned with the reference.
    This function shifts and rotate points to
    make the two sets aligned and returns the 

Mahdisadjadi

# A simple implementation of Stack data structure in python
# LIFO: last (item) in, first (item) out
# Insert at the end, pop the front of the list

class Stack():
    
    def __init__(self):
        self.items = []
        
    def isEmpty(self):

Mahdisadjadi

# A simple implementation of Queue data structure in python
# FIFO: first (item) in, first (item) out
# Insert at the front, pop at the end of the list

class Queue():
    
    def __init__(self):
        self.items = []
        
    def isEmpty(self):

Mahdisadjadi

'''
This code generates a picture of the specific
heat of a two-level system. It also shows
the limits in low- and high-temperatures
regions, in addition to the location of
the maximum specific heat.
Mahdi Sadjadi, 2017.
'''

import numpy as np 

Mahdisadjadi

'''
This code generates a picture of a symmetric 
one-dimensional double-well pontetial.
Mahdi Sadjadi, 2017.
'''

import numpy as np 
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter, MaxNLocator
for param in ['axes.labelsize','xtick.labelsize','ytick.labelsize']: