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fixed links and updated readme
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@ -7,7 +7,9 @@ Useful functions, tutorials, and other Python-related things
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###Links to view the IPython Notebooks
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- [Python benchmarks via `timeit`](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/timeit_tests.ipynb?create=1)
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- [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)
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-
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- Implementing the least squares fit method for linear regression and speeding it up via Cython
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[[IPython Notebook](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/cython_least_squares.ipynb?create=1)] [[HTML]()]
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- [Benchmarks of different palindrome functions](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/palindrome_timeit.ipynb?create=1)
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- [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)
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- [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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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:14c3265ea9accf7a70bb5032b9e2b881a487f6b81b55999ef8578645edf4e3dd"
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"signature": "sha256:07d1097e63ed00fca1ea6848104a030744ac87d11e515ae48e01e53b7425d997"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -442,7 +442,14 @@
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"metadata": {},
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"source": [
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"<br>\n",
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"<br>\n",
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"<br>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"#### Visualization"
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]
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},
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@ -514,7 +521,14 @@
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"metadata": {},
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"source": [
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"<br>\n",
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"<br>\n",
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"<br>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"#### Comparing the results from the different implementations"
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]
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},
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@ -569,7 +583,14 @@
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"metadata": {},
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"source": [
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"<br>\n",
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"<br>\n",
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"<br>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"#### Initial performance comparison"
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]
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},
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4928
benchmarks/cython_least_squares.html
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4928
benchmarks/cython_least_squares.html
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:14c3265ea9accf7a70bb5032b9e2b881a487f6b81b55999ef8578645edf4e3dd"
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"signature": "sha256:07d1097e63ed00fca1ea6848104a030744ac87d11e515ae48e01e53b7425d997"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -442,7 +442,14 @@
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"metadata": {},
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"source": [
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"<br>\n",
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"<br>\n",
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"<br>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"#### Visualization"
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]
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},
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@ -514,7 +521,14 @@
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"metadata": {},
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"source": [
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"<br>\n",
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"<br>\n",
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"<br>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"#### Comparing the results from the different implementations"
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]
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},
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@ -569,7 +583,14 @@
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"metadata": {},
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"source": [
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"<br>\n",
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"<br>\n",
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"<br>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"#### Initial performance comparison"
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]
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},
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