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class wordle:
    def __init__(self, input_data_path):
        self.input_data_path = input_data_path
    
    def get_path(self):
        print(self.input_data_path)

    def get_words_by_len(self, word_length):
        """
        filter words of specific length

smrati

Multiple SSH Keys settings for different github account

create different public key

create different ssh key according the article Mac Set-Up Git

$ ssh-keygen -t rsa -C "your_email@youremail.com"

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# -*- coding: utf-8 -*-
import numpy as np
import os
import cv2
import pandas as pd

from sklearn.cross_validation import train_test_split
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D

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import numpy as np
from keras import backend as K
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.preprocessing.image import ImageDataGenerator
from sklearn.metrics import classification_report, confusion_matrix

#Start
train_data_path = 'F://data//Train'

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import mechanicalsoup

user_agent_string = 'Mozilla/5.0 (X11; CrOS x86_64 8172.45.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.64 Safari/537.36'
browser = mechanicalsoup.StatefulBrowser(user_agent=user_agent_string, )
browser.open('https://ebootcamp.dev')
headings_list = browser.get_current_page().find_all('h3')

for heading in headings_list:
    print(heading.text)

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Big O Notation

Let say you have a coding problem in hand and you can think of two different ways to solve (code) that problem. You want to identify which way is better. To do this comparison what we will do is to calculate Big O of both of these methods and compare them.
So in a sense Big O is a way to measure the resource requirements for different methods.
Resource could be

1. Time resource => How much time our code takes to complete
2. Space resource => How much memory our code need to complete

---

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python manage.py collectstatic --no-input

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git branch -d -r origin/mohit

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from django.utils.encoding import smart_str, smart_unicode
a = u'\xa1'
print smart_str(a)

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find . -name '*.java' | xargs git add