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$ django-admin startproject <your-api-name>
$ cd <your-api-name>
$ python manage.py runserver

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import matplotlib.pyplot as plt
import pandas as pd

def draw_boxplot_numerical_categorical_cols(df, numerical_col, categorical_col):
    categories = []
    for category in df[categorical_col].unique():
        categories.append({
                'categorical_col': category,
                'numerical_col': df[df[categorical_col] == category][numerical_col]})
        

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# install dependencies by conda
conda install -c conda-forge imageio
conda install scikit-image


from imageio import imread
from skimage.transform import resize

img = imread(file_path)
img_resized = resize(img, (128, 128))

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def load_image_dataset(dir_path='datasets/train/', dataset_size=None,
                size=(300, 300)):
    """
    Resize all the images in the specifed directory to the specified
    (height, width) as X and their corresponding labels as y. Where
    `y = 0` indicate it's a dog image while `y = 1` indicate cat image.
    
    Parameters:
    -----------
    dir_path: relative path to image folder

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<div class="row">
  <div class="col-md-6">
    <div>
      <img src="{{cur_image_path}}" class="img-responsive">
    </div>
  </div>
</div>

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References
- https://stackoverflow.com/questions/24383700/resize-image-in-the-wiki-of-github-using-markdown

<img src="images/cover.png" alt="Cover" width="50%"/>

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git clone https://gist.github.com/<hash>.git
git add your-image.jpg
git commit -m "Add image"
git push origin master

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# References
# https://stackoverflow.com/questions/9166400/convert-rgba-png-to-rgb-with-pil

from PIL import Image

def get_rgb_image(file_path, delete_original_image=True):
    """
    Remove image's alpha channel and return the path of the
    transformed image

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pip install awscli --upgrade
aws configure --profile personal

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brew install heroku/brew/heroku