Example Python program part_3_import_package.py

Modules

• import matplotlib

• import the necessary packages

• from sklearn.preprocessing import LabelBinarizer
• from sklearn.model_selection import train_test_split
• from sklearn.metrics import classification_report
• from keras.preprocessing.image import ImageDataGenerator
• from keras.optimizers import SGD
• from keras.models import Sequential
• from keras.layers.normalization import BatchNormalization
• from keras.layers.convolutional import Conv2D
• from keras.layers.convolutional import MaxPooling2D
• from keras.layers.core import Activation
• from keras.layers.core import Flatten
• from keras.layers.core import Dropout
• from keras.layers.core import Dense
• from keras import backend as K
• from imutils import paths
• import matplotlib.pyplot as plt
• import numpy as np
• import argparse
• import random
• import pickle
• import cv2
• import os

Code

Python example

# set the matplotlib backend so figures can be saved in the background
import matplotlib
matplotlib.use("Agg")

# import the necessary packages

from sklearn.preprocessing import LabelBinarizer
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report
from keras.preprocessing.image import ImageDataGenerator
from keras.optimizers import SGD
from keras.models import Sequential
from keras.layers.normalization import BatchNormalization
from keras.layers.convolutional import Conv2D
from keras.layers.convolutional import MaxPooling2D
from keras.layers.core import Activation
from keras.layers.core import Flatten
from keras.layers.core import Dropout
from keras.layers.core import Dense
from keras import backend as K
from imutils import paths
import matplotlib.pyplot as plt
import numpy as np
import argparse
import random
import pickle
import cv2
import os

Useful Links

• Articles: https://python-commandments.org/
• Python shell: https://bsdnerds.org/learn-python/
• Tutorial: https://pythonprogramminglanguage.com/