sidharthshah

import re
import ssl
from urllib import request

seedlist = ['https://scrapy.org/']

def extract_urls(url):
    """
    this function is used to extract URLs from HTML
    """

sidharthshah

def numeric_encoding(some_string):
    mappings = {"A": "1", "G": "2", "C": "3", "T": "4"}
    results = ""
    for current in some_string:
        results += mappings[current]
    return results

numeric_encoding("AGCTTCA")

sidharthshah

# This is example from https://developers.google.com/sheets/api/quickstart/python

"""
Shows basic usage of the Sheets API. Prints values from a Google Spreadsheet.
"""
from __future__ import print_function
from apiclient.discovery import build
from httplib2 import Http
from oauth2client import file, client, tools

sidharthshah

• GEOFF HILTON {Father of DNN}
• MLP {Multi Layered Perceptron} -> Vanialla Neural Network
• Problem of Vanishing Gradient {This is what RBM Solves}

Unsupervised

RBM {Extract features and reconstruct inputs}

• Forward/Backward Phase

sidharthshah

# Grammar Based Natural Language Query Parser
# Background: I've implemented a better search engine for an eCommerce Site. There was a legacy code which had lot of 
# if-else blocks. By using Grammer based parsing code I was able to reduce Line of Codes for Module and 
# make it more extensible and maintainable

# Ref:
# 1. http://infohost.nmt.edu/tcc/help/pubs/pyparsing/pyparsing.pdf
# 2. http://q3k.org/gentoomen/Programming/Python/Getting%20Started%20with%20Pyparsing%20(2007).pdf
from pyparsing import Word, alphas, oneOf

sidharthshah

# This is Readable
>>> nums = []
>>> for i in range(1000):
...     nums.append(random.randint(1, 1000))
...

# This is not readable
num_1 = [random.randint(1, 1000) for i in range(1000)]

# Traditional way of doing things

sidharthshah

from string import strip
def format_name(name):
    #Step 1: Split by ,
    #Step 2: Remove any extrac white space in tokens using Map
    #Step 3: Reverse List using ::-1
    #Step 4: Join with White Space
    return " ".join(map(strip, name.split(","))[::-1])

>>> format_name("Shah, Saheb")
'Saheb Shah'

sidharthshah

# -*- coding: utf-8 -*-
import os
import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from hashlib import md5

from pymongo import MongoClient
client = MongoClient('localhost', 27017)
db = client.skoovbot

sidharthshah

environmental change
resistor ladder
effects of high altitude on humans
mendelian inheritance
pellucidar
ryōji noyori
aphthous stomatitis
holonomic brain theory
umbilicus (mollusc)
destroy all humans!

sidharthshah

parser.add_argument('-v', '--verbose', action='count', default=0)
parser.add_argument('-q', '--quiet', action='count', default=0)

logging_level = logging.WARN + 10*args.quiet - 10*args.verbose

# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL