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fix links in readme

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rasbt 2016-04-10 18:53:57 -04:00
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@ -36,7 +36,6 @@
- Installing Scientific Packages for Python3 on MacOS 10.9 Mavericks [[Markdown](./tutorials/installing_scientific_packages.md)]
- Sorting CSV files using the Python csv module [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/sorting_csvs.ipynb)]
- Using Cython with and without IPython magic [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/running_cython.ipynb)]
@ -65,7 +64,7 @@
- Creating internal links in IPython Notebooks and Markdown docs [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/table_of_contents_ipython.ipynb)]
- Converting Markdown to HTML and adding Python syntax highlighting [[Markdown](./tutorials/markdown_syntax_highlighting/README.md)]
- Converting Markdown to HTML and adding Python syntax highlighting [[Markdown](./tutorials/markdown_syntax_highlighting/README.md)]
<br>
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- Vectorizing a classic for-loop in NumPy [[IPython nb](http://nbviewer.ipython.org/github/rasbt/One-Python-benchmark-per-day/blob/master/ipython_nbs/day16_numpy_vectorization.ipynb)]
<br>
<br>
###// Python and "Data Science"
###// Python and "Data Science"
[[back to top](#a-collection-of-useful-scripts-tutorials-and-other-python-related-things)]
*The "data science"-related posts have been moved to a separate GitHub repository [pattern_classification](https://github.com/rasbt/pattern_classification)*
@ -162,6 +161,12 @@
<br>
###// Other
- [Python book reviews](./other/python_book_reviews.md)
- [Happy Mother's Day Plot](./other/happy_mothers_day.ipynb)
<br>
###// Links
[[back to top](#a-collection-of-useful-scripts-tutorials-and-other-python-related-things)]
@ -220,5 +225,3 @@
- [Numba](http://numba.pydata.org) - A just-in-time specializing compiler which compiles annotated Python and NumPy code to LLVM (through decorators)
- [scikit-learn](http://scikit-learn.org/stable/) - A powerful machine learning library for Python and tools for efficient data mining and analysis.