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Pushing the docs to dev/ for branch: master, commit 8fa7771d139765002b78bc3853955c6ad06dde5d
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dev/_downloads/plot_stock_market.ipynb

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dev/_downloads/plot_stock_market.py

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@@ -149,62 +149,63 @@ def quotes_historical_google(symbol, date1, date2):
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d2 = datetime(2007, 12, 31)
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symbol_dict = {
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'TOT': 'Total',
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'XOM': 'Exxon',
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'CVX': 'Chevron',
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'COP': 'ConocoPhillips',
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'VLO': 'Valero Energy',
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'MSFT': 'Microsoft',
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'IBM': 'IBM',
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'TWX': 'Time Warner',
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'CMCSA': 'Comcast',
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'CVC': 'Cablevision',
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'YHOO': 'Yahoo',
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'DELL': 'Dell',
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'HPQ': 'HP',
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'AMZN': 'Amazon',
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'TM': 'Toyota',
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'CAJ': 'Canon',
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'SNE': 'Sony',
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'F': 'Ford',
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'HMC': 'Honda',
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'NAV': 'Navistar',
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'NOC': 'Northrop Grumman',
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'BA': 'Boeing',
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'KO': 'Coca Cola',
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'MMM': '3M',
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'MCD': 'McDonald\'s',
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'PEP': 'Pepsi',
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'K': 'Kellogg',
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'UN': 'Unilever',
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'MAR': 'Marriott',
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'PG': 'Procter Gamble',
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'CL': 'Colgate-Palmolive',
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'GE': 'General Electrics',
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'WFC': 'Wells Fargo',
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'JPM': 'JPMorgan Chase',
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'AIG': 'AIG',
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'AXP': 'American express',
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'BAC': 'Bank of America',
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'GS': 'Goldman Sachs',
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'AAPL': 'Apple',
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'NYSE:TOT': 'Total',
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'NYSE:XOM': 'Exxon',
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'NYSE:CVX': 'Chevron',
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'NYSE:COP': 'ConocoPhillips',
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'NYSE:VLO': 'Valero Energy',
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'NASDAQ:MSFT': 'Microsoft',
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'NYSE:IBM': 'IBM',
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'NYSE:TWX': 'Time Warner',
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'NASDAQ:CMCSA': 'Comcast',
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'NYSE:CVC': 'Cablevision',
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'NASDAQ:YHOO': 'Yahoo',
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'NASDAQ:DELL': 'Dell',
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'NYSE:HPQ': 'HP',
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'NASDAQ:AMZN': 'Amazon',
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'NYSE:TM': 'Toyota',
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'NYSE:CAJ': 'Canon',
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'NYSE:SNE': 'Sony',
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'NYSE:F': 'Ford',
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'NYSE:HMC': 'Honda',
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'NYSE:NAV': 'Navistar',
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'NYSE:NOC': 'Northrop Grumman',
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'NYSE:BA': 'Boeing',
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'NYSE:KO': 'Coca Cola',
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'NYSE:MMM': '3M',
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'NYSE:MCD': 'McDonald\'s',
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'NYSE:PEP': 'Pepsi',
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'NYSE:K': 'Kellogg',
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'NYSE:UN': 'Unilever',
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'NASDAQ:MAR': 'Marriott',
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'NYSE:PG': 'Procter Gamble',
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'NYSE:CL': 'Colgate-Palmolive',
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'NYSE:GE': 'General Electrics',
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'NYSE:WFC': 'Wells Fargo',
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'NYSE:JPM': 'JPMorgan Chase',
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'NYSE:AIG': 'AIG',
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'NYSE:AXP': 'American express',
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'NYSE:BAC': 'Bank of America',
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'NYSE:GS': 'Goldman Sachs',
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'NASDAQ:AAPL': 'Apple',
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'NYSE:SAP': 'SAP',
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'CSCO': 'Cisco',
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'TXN': 'Texas Instruments',
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'XRX': 'Xerox',
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'WMT': 'Wal-Mart',
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'HD': 'Home Depot',
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'GSK': 'GlaxoSmithKline',
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'PFE': 'Pfizer',
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'SNY': 'Sanofi-Aventis',
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'NVS': 'Novartis',
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'KMB': 'Kimberly-Clark',
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'R': 'Ryder',
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'GD': 'General Dynamics',
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'RTN': 'Raytheon',
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'CVS': 'CVS',
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'CAT': 'Caterpillar',
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'DD': 'DuPont de Nemours'}
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'NASDAQ:CSCO': 'Cisco',
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'NASDAQ:TXN': 'Texas Instruments',
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'NYSE:XRX': 'Xerox',
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'NYSE:WMT': 'Wal-Mart',
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'NYSE:HD': 'Home Depot',
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'NYSE:GSK': 'GlaxoSmithKline',
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'NYSE:PFE': 'Pfizer',
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'NYSE:SNY': 'Sanofi-Aventis',
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'NYSE:NVS': 'Novartis',
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'NYSE:KMB': 'Kimberly-Clark',
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'NYSE:R': 'Ryder',
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'NYSE:GD': 'General Dynamics',
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'NYSE:RTN': 'Raytheon',
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'NYSE:CVS': 'CVS',
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'NYSE:CAT': 'Caterpillar',
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'NYSE:DD': 'DuPont de Nemours'}
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symbols, names = np.array(sorted(symbol_dict.items())).T
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dev/_downloads/scikit-learn-docs.pdf

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