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!wget --user=your_username --password=your_password http://cdn1.i3s.up.pt/digitalpathology/ICIAR2018_BACH_Challenge.zip

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#Download required dataset / competition files to a folder of your choice
!kaggle competitions download -c histopathologic-cancer-detection -p /content/gdrive/My\ Drive/kaggle/cancer

#List datasets and competitions
!kaggle datasets list   
!kaggle competitions list

#Search for datasets and competitions by name
!kaggle datasets list -s cancer
!kaggle competitions list -s histopathologic-cancer-detection

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from google.colab import files
files.upload() #this will prompt you to update the json

!pip install -q kaggle
!mkdir -p ~/.kaggle
!cp kaggle.json ~/.kaggle/
!ls ~/.kaggle
!chmod 600 /root/.kaggle/kaggle.json  # set permission

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from google.colab import drive

drive.mount('/content/gdrive')
root_path = 'gdrive/My Drive/your_project_folder/'  #change dir to your project folder

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 29 09:57:55 2018

@author: avsthiago
"""

from keras.preprocessing.image import ImageDataGenerator
import numpy as np

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hashtag_list = ['travelblog', 'travelblogger', 'traveler']

# prev_user_list = [] - if it's the first time you run it, use this line and comment the two below
prev_user_list = pd.read_csv('20181203-224633_users_followed_list.csv', delimiter=',').iloc[:,1:2] # useful to build a user log
prev_user_list = list(prev_user_list['0'])

new_followed = []
tag = -1
followed = 0
likes = 0

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from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from time import sleep, strftime
from random import randint
import pandas as pd

chromedriver_path = 'C:/Users/User/Downloads/chromedriver_win32/chromedriver.exe' # Change this to your own chromedriver path!
webdriver = webdriver.Chrome(executable_path=chromedriver_path)
sleep(2)
webdriver.get('https://www.instagram.com/accounts/login/?source=auth_switcher')