import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

# to clear the graph before new nodes
tf.reset_default_graph()

with tf.name_scope("march"):
    a = tf.constant(1, name = 'a')
    print(a.name)

    b = tf.Variable(2, name = 'b')
    print(b.name)

march/a:0
march/b:0

a

<tf.Tensor 'march/a:0' shape=() dtype=int32>

print(a.name)

march/a:0

# Note: You can access the variable outside of the scope even after it is assigned.