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README.md

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@@ -16,22 +16,34 @@ A collection of useful scripts, tutorials, and other Python-related things
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###// Python tips and tutorials
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- A collection of not so obvious Python stuff you should know! [[IPython nb]](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 [[IPython nb]](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/scope_resolution_legb_rule.ipynb?create=1)
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- A thorough guide to SQLite database operations in Python [[Markdown]](./sqlite3_howto/README.md)
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- Unit testing in Python - Why we want to make it a habit [[Markdown]](./tutorials/unit_testing.md)
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- Installing Scientific Packages for Python3 on MacOS 10.9 Mavericks [[Markdown]](./tutorials/installing_scientific_packages.md)
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- A collection of not so obvious Python stuff you should know! [[IPython nb](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 [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/scope_resolution_legb_rule.ipynb?create=1)]
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- A thorough guide to SQLite database operations in Python [[Markdown](./sqlite3_howto/README.md)]
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- Unit testing in Python - Why we want to make it a habit [[Markdown](./tutorials/unit_testing.md)]
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- Installing Scientific Packages for Python3 on MacOS 10.9 Mavericks [[Markdown](./tutorials/installing_scientific_packages.md)]
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- Sorting CSV files using the Python csv module [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/sorting_csvs.ipynb)]
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<br>
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###// benchmarks
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*For more recent benchmarks, please also see my separate GitHub repository [One-Python-benchmark-per-day](https://github.com/rasbt/One-Python-benchmark-per-day)*
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*For more recent benchmarks, please also see my separate
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GitHub repository [One-Python-benchmark-per-day](https://github.com/rasbt/One-Python-benchmark-per-day)*
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- Python benchmarks via `timeit` [[IPython nb]](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 [[IPython nb]](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/cython_least_squares.ipynb?create=1)
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- Benchmarks of different palindrome functions [[IPython nb]](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/palindrome_timeit.ipynb?create=1)
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- Python benchmarks via `timeit` [[IPython nb](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 [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/cython_least_squares.ipynb?create=1)]
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- Benchmarks of different palindrome functions [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/palindrome_timeit.ipynb?create=1)]
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<br>
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###// other
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- Creating a table of contents with internal links in IPython Notebooks and Markdown documents [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/tutorials/table_of_contents_ipython.ipynb)]
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- Happy Mother's Day [[IPython nb]](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/funstuff/happy_mothers_day.ipynb?create=1)
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- Happy Mother's Day [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/funstuff/happy_mothers_day.ipynb?create=1)]
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<br>
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###// useful scripts and snippets
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- [Shell script](./useful_scripts/prepend_python_shebang.sh) for prepending Python-shebangs to all .py files in a current directory.
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- convert 'tab-delimited' to 'comma-separated' CSV files [[IPython nb]](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/useful_scripts/fix_tab_csv.ipynb?create=1)
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- convert 'tab-delimited' to 'comma-separated' CSV files [[IPython nb](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/useful_scripts/fix_tab_csv.ipynb?create=1)]

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