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fixed links and updated readme

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rasbt 2014-05-04 19:21:25 -04:00
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commit b9786dd75e
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4
README.md
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@ -7,7 +7,9 @@ Useful functions, tutorials, and other Python-related things
###Links to view the IPython Notebooks
- [Python benchmarks via `timeit`](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/timeit_tests.ipynb?create=1)
- [Implementing the least squares fit method for linear regression and speeding it up via Cython](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/cython_least_squares.ipynb?create=1)
-
- Implementing the least squares fit method for linear regression and speeding it up via Cython
[[IPython Notebook](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/cython_least_squares.ipynb?create=1)] [[HTML]()]
- [Benchmarks of different palindrome functions](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/palindrome_timeit.ipynb?create=1)
- [A collection of not so obvious Python stuff you should know!](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/not_so_obvious_python_stuff.ipynb?create=1)
- [Python's scope resolution for variable names and the LEGB rule](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/scope_resolution_legb_rule.ipynb?create=1)

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benchmarks/.ipynb_checkpoints/cython_least_squares-checkpoint.ipynb
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@ -1,7 +1,7 @@
{
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"signature": "sha256:14c3265ea9accf7a70bb5032b9e2b881a487f6b81b55999ef8578645edf4e3dd"
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@ -442,7 +442,14 @@
"metadata": {},
"source": [
"<br>\n",
"<br>\n",
"<br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"#### Visualization"
]
},
@ -514,7 +521,14 @@
"metadata": {},
"source": [
"<br>\n",
"<br>\n",
"<br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"#### Comparing the results from the different implementations"
]
},
@ -569,7 +583,14 @@
"metadata": {},
"source": [
"<br>\n",
"<br>\n",
"<br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"#### Initial performance comparison"
]
},

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benchmarks/cython_least_squares.ipynb
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@ -1,7 +1,7 @@
{
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"signature": "sha256:14c3265ea9accf7a70bb5032b9e2b881a487f6b81b55999ef8578645edf4e3dd"
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@ -442,7 +442,14 @@
"metadata": {},
"source": [
"<br>\n",
"<br>\n",
"<br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"#### Visualization"
]
},
@ -514,7 +521,14 @@
"metadata": {},
"source": [
"<br>\n",
"<br>\n",
"<br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"#### Comparing the results from the different implementations"
]
},
@ -569,7 +583,14 @@
"metadata": {},
"source": [
"<br>\n",
"<br>\n",
"<br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"#### Initial performance comparison"
]
},