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{
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"# Getting Financial Data - Google Finance"
]
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"source": [
"### Introduction:\n",
"\n",
"This time you will get data from a website.\n",
"\n",
"\n",
"### Step 1. Import the necessary libraries"
]
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"### Step 2. Create your time range (start and end variables). The start date should be 01/01/2015 and the end should today (whatever your today is)"
]
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"### Step 3. Select the Apple, Tesla, Twitter, IBM, LinkedIn stocks symbols and assign them to a variable called stocks"
]
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"### Step 4. Read the data from google, assign to df and print it"
]
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"### Step 5. What is the type of structure of df ?"
]
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"### Step 6. Print all the Items axis values\n",
"#### To learn more about the Panel structure go to [documentation](http://pandas.pydata.org/pandas-docs/stable/dsintro.html#panel) "
]
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"### Step 7. Good, now we know the data avaiable. Create a dataFrame called vol, with the Volume values."
]
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"### Step 8. Aggregate the data of Volume to weekly\n",
"#### Hint: Be careful to not sum data from the same week of 2015 and other years."
]
},
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"### Step 9. Find all the volume traded in the year of 2015"
]
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"### BONUS: Create your own question and answer it."
]
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