arrays - How to access a column(or row) in a list of lists in python

OK, we have like that list:

ListOfList = [ ['abcd',1], ['efgh',2], ['ijkl',3]]
print(ListOfList)

Let access list in list.

print('row 0', [row[0] for row in ListOfList] )
print('row 1', [row[1] for row in ListOfList] )

Very easy isn't it?
Enjoy~!

python element in list and element no in list, simple example

element in list

if 2 in [1, 2, 3]:
    print('2 in list')
else:
    print('2 in not list')


if 4 in [1, 2, 3]:
    print('4 in list')
else:
    print('4 in not list')


if (1,2) in [(1, 2) , (3, 2)]:
    print('(1,2) in list')
else:
    print('(1,2) in not list')

result



element no in list

if 4 not in [1, 2, 3]:
    print('4 not in list')
else:
    print('4 in list')


if (1,2) not in [(1, 2), (3, 2)]:
    print('(1,2) in not linst')
else:
    print('(1,2) in list')

result

TensorFlow Basic, print tf.Variable, ^^

All things start from the session

import tensorflow as tf

#define a variable to hold normal random values
normal_rv = tf.Variable( tf.truncated_normal([10,10],stddev = 0.1))

#initialize the variable
init_op = tf.initialize_all_variables()

#run the graph
with tf.Session() as sess:
    sess.run(init_op) #execute init_op
    #print the random values that we sample
    print (sess.run(normal_rv)

or

import tensorflow as tf

def create_weights(shape):

    return tf.Variable(tf.truncated_normal(shape, stddev=0.1))

weights = create_weights(shape=[10,10])
init_op = tf.initialize_all_variables()

#run the graph
with tf.Session() as sess:
    sess.run(init_op) #execute init_op
    #print the random values that we sample

    print (sess.run(weights))

reference : https://stackoverflow.com/questions/33633370/how-to-print-the-value-of-a-tensor-object-in-tensorflow