Summer 2016 Project 1 - Revision history

Dave: /* Required, Allowed & Prohibited */

2016-05-19T23:13:01Z

Required, Allowed & Prohibited

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Test Cases

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Test Cases

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What to turn in

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What to turn in

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What to turn in

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What to turn in

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Suggestions

2016-05-19T22:43:17Z

Dave moved page Summer 2016 Project1 to Summer 2016 Project 1 without leaving a redirect

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 * Your code may use standard Python libraries (except os).
 * You may use the NumPy, SciPy, matplotlib and Pandas libraries.  Be sure you are using the correct versions.
-* You may reuse sections of code (up to 5 lines) that you collected from other students or the internet.
+* You may use code provided by the instructor, or allowed by the instructor to be shared.
 Prohibited:
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 * Use of any code other than util.py to read in data.
 * Use of Python's os module.
-* Any code you did not write yourself (except for the 5 line rule in the "allowed" section).
+* Any code you did not write yourself.

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 ==Test Cases==
-The test cases used for grading this assignment in Spring 2016 are available below for you to further test your code.  We will test your code with 'different' test cases.
+The test cases used for grading this assignment in Spring 2016 are available below for you to further test your code.  We will test your code with ''different'' test cases.
 * [[MC1-Project-1-Test-Cases-spr2016]]

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 ==Test Cases==
-Here are the test cases we used while grading. These are updated each semester, and released after grading.
+The test cases used for grading this assignment in Spring 2016 are available below for you to further test your code.  We will test your code with 'different' test cases.
 * [[MC1-Project-1-Test-Cases-spr2016]]

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 Submit via T-Square as attachments only (no zip files please):
 * Your code as <tt>analysis.py</tt> (please use this EXACT filename)
-* Your plot of daily portfolio value versus SPY as <tt>plot.png</tt> (use EXACT filename)<br/>The plot should be generated using the following: Start Date: 2010-01-01, End Date: 2010-12-31, Symbols: ['GOOG', 'AAPL', 'GLD', 'XOM'], Allocations: [0.3, 0.3, 0.1, 0.3]
+* Your plot of daily portfolio value versus SPY as <tt>plot.png</tt> (use EXACT filename)<br/>The plot should be generated using the following: Start Date: 2009-01-01, End Date: 2009-12-31, Symbols: ['GOOG', 'AAPL', 'GLD', 'MSFT'], Allocations: [0.3, 0.3, 0.1, 0.3]
 Important: We will test against OTHER symbols and other allocations, so don't hardcode the list of symbols.

@@ Line 165: / Line 165: @@
 Submit via T-Square as attachments only (no zip files please):
 * Your code as <tt>analysis.py</tt> (please use this EXACT filename)
-* Your plot of daily portfolio value versus SPY as <tt>plot.png</tt> (use EXACT filename)<br/>The plot should be generated using the following: Start Date: 2010-01-01, End Date: 2010-12-31, Symbols: ['GOOG', 'AAPL', 'GLD', 'XOM'], Allocations: [0.2, 0.2, 0.4, 0.2]
+* Your plot of daily portfolio value versus SPY as <tt>plot.png</tt> (use EXACT filename)<br/>The plot should be generated using the following: Start Date: 2010-01-01, End Date: 2010-12-31, Symbols: ['GOOG', 'AAPL', 'GLD', 'XOM'], Allocations: [0.3, 0.3, 0.1, 0.3]
 Important: We will test against OTHER symbols and other allocations, so don't hardcode the list of symbols.

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 ''Be sure to follow these instructions diligently!''
-This Project is shown as two assignments on t-square, one for submitting the code, the other for submitting your image.  Be sure to submit to the correct assignments.  Submit via T-Square as attachments only (no zip files please):
+Submit via T-Square as attachments only (no zip files please):
 * Your code as <tt>analysis.py</tt> (please use this EXACT filename)
 * Your plot of daily portfolio value versus SPY as <tt>plot.png</tt> (use EXACT filename)<br/>The plot should be generated using the following:, Start Date: 2010-01-01, End Date: 2010-12-31, Symbols: ['GOOG', 'AAPL', 'GLD', 'XOM'], Allocations: [0.2, 0.2, 0.4, 0.2]

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 *Compute statistics from the total portfolio value.
-You will need to reuse some of your code from this project for the next project.  To make that task easier, we suggest that you create a helper function within your code that has the following prototype.  Note that we will not be testing this part of your code directly, so it isn't essential that you follow the API exactly.
+In future projects, you will also want to compute portfolio statistics.  To make that task easier, we suggest that you create a helper function within your code that has the following prototype.  Note that we will not be testing this part of your code directly, so it isn't essential that you follow the API exactly.
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