From a182edc1d5f5a60394f874e3ca74ac95cc9f1c87 Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Sat, 25 Apr 2015 13:57:38 -0400 Subject: [PATCH] Added python logging and pdb notebooks. Tweaked k nearest neighbors hyperlinked text. --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 43b0ef0..fea4c1e 100644 --- a/README.md +++ b/README.md @@ -75,7 +75,7 @@ IPython Notebook(s) demonstrating scikit-learn functionality. | Notebook | Description | |--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | [scikit-learn-intro](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-intro.ipynb) | Intro notebook to scikit-learn. Scikit-learn adds Python support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays. | -| [scikit-learn-knn](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-intro.ipynb#K-Nearest-Neighbors-Classifier) | K-Nearest Neighbors. | +| [scikit-learn-intro](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-intro.ipynb#K-Nearest-Neighbors-Classifier) | K-Nearest Neighbors. | | [scikit-learn-linear-reg](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-linear-reg.ipynb) | Linear regression. | | [scikit-learn-svm](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/scikit-learn/scikit-learn-svm.ipynb) | Support vector machine classifier, with and without kernels. | @@ -144,6 +144,8 @@ IPython Notebook(s) demonstrating Python functionality geared towards data analy | [data structure utilities](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-data/structs_utils.ipynb) | Slice, range, xrange, bisect, sort, sorted, reversed, enumerate, zip, list comprehensions. | | [functions](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-data/functions.ipynb) | Functions as objects, lambda functions, closures, *args, **kwargs currying, generators, generator expressions, itertools. | | [datetime](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-data/datetime.ipynb) | Datetime, strftime, strptime, timedelta. | +| [logging](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-data/logs.ipynb) | Logging with RotatingFileHandler and TimedRotatingFileHandler. | +| [pdb](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-data/pdb.ipynb) | Interactive source code debugger. | | [unit tests](http://nbviewer.ipython.org/github/donnemartin/ipython-data-notebooks/blob/master/python-data/unit_tests.ipynb) | Nose unit tests. |