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Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!

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Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

Base URL: https://www.google.com/speech-api/v1/recognize
It accepts POST requests with voice file encoded in FLAC format, and query parameters for control.

client
The client's name you're connecting from. For spoofing purposes, let's use chromium

lang
Speech language, for example, ar-QA for Qatari Arabic, or en-US for U.S. English

	import logging

	from scrapy import Spider
	from sqlalchemy.orm import sessionmaker

	from example.items import ProductItem
	from example.models import Price, Product, create_table, db_connect

	logger = logging.getLogger(__name__)

	import json

	from scrapy.crawler import Crawler
	from scrapy.contrib.loader import ItemLoader
	from scrapy.contrib.loader.processor import Join, MapCompose, TakeFirst
	from scrapy import log, signals, Spider, Item, Field
	from scrapy.settings import Settings
	from twisted.internet import reactor

	#! /usr/bin/env python
	"""
	Author: Jeremy M. Stober
	Program: SOFTMAX.PY
	Date: Wednesday, February 29 2012
	Description: Simple softmax function.
	"""

	import numpy as np
	npa = np.array