sethbunke

export FLASK_DEBUG=1
export FLASK_APP=name-of-your-python-file-here.py
flask run

sethbunke

#import pandas and numpy
import pandas as pd
import numpy as np

#create dataframe with some random data
df = pd.DataFrame(np.random.rand(10, 2) * 10, columns=['Price', 'Qty'])

#add a column with random string values that would need to have dummy variables created for them
df['City'] = [np.random.choice(('Chicago', 'Boston', 'New York')) for i in range(df.shape[0])]

sethbunke

//Mac OS or Linux
conda create -n tensorflow python=3.5
source activate tensorflow
pip install widgetsnbextension
conda install pandas matplotlib jupyter notebook scipy scikit-learn
conda install -c conda-forge tensorflow

//Windows
conda create -n tensorflow python=3.5
activate tensorflow

sethbunke

#Concise implementation
def softmax(inputs):
    return np.exp(inputs) / np.sum(np.exp(inputs))
   
#Verbose implementation (for clarification/understanding)
def softmax_verbose(inputs):
    results = [np.exp(x) for x in inputs]
    summation = sum(results)    
    probabilities = [(x / summation) for x in results]
    return probabilities

sethbunke

from collections import Counter

def bag_of_words(text):
    return Counter(text.split())
    
test_text = 'the quick brown fox jumps over the lazy dog'

print(bag_of_words(test_text))
#Output will be: Counter({'the': 2, 'jumps': 1, 'dog': 1, 'brown': 1, 'over': 1, 'quick': 1, 'fox': 1, 'lazy': 1})

sethbunke

To save your work and exit press Esc and then :wq (w for write and q for quit).

Alternatively, you could both save and exit by pressing Esc and then :x

sethbunke

create_text_lookup_tables = lambda text: ({c: i for i, c in enumerate(set(text))}, dict(enumerate(set(text))))

vocab_to_int, int_to_vocab = create_text_lookup_tables(['this','is','my','test'])

print(vocab_to_int)
#{'is': 0, 'my': 1, 'this': 2, 'test': 3}

print(int_to_vocab)
#{0: 'is', 1: 'my', 2: 'this', 3: 'test'}

sethbunke

min_length = 1 #as long or longer than this
max_length = 4 #no longer than this

data = ['', 'a', 'bb', 'cc', '', 'ddd', 'eee', 'ffff', 'ggggg', 'hhhhhh']
results = [item[:max_length] for item in data if len(item) >= min_length] 

print(results)

#['a', 'bb', 'cc', 'ddd', 'eee', 'ffff', 'gggg', 'hhhh']

sethbunke

def tanh(x):         
  return (1.0 - numpy.exp(-2*x))/(1.0 + numpy.exp(-2*x))

def tanh_derivative(x):         
  return (1 + tanh(x))*(1 - tanh(x))

sethbunke

import collections

input = [1,2,3,2,1,5,6,5,5,5]
result = [item for item, count in collections.Counter(input).items() if count > 1]
print(result)
#[1, 2, 5]