reorganized Readme

Sebastian Raschka · Sebastian Raschka · commit 061975b72aa4 · 2014-05-12T15:25:31.000-04:00
diff --git a/README.md b/README.md
@@ -4,16 +4,33 @@ Python Tutorials and References
 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)  
-- [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)
-- [Happy Mother's Day](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/funstuff/happy_mothers_day.ipynb?create=1)
-
-### Links to Markdown files
-- [A thorough guide to SQLite database operations in Python](./sqlite3_howto/README.md)
-- [Unit testing in Python - Why we want to make it a habit](./tutorials/unit_testing.md)
-- [Installing Scientific Packages for Python3 on MacOS 10.9 Mavericks](./tutorials/installing_scientific_packages.md)
+###Links to view the IPython Notebooks and Markdown files
+
+<br>
+<br>
+<br>
+
+**// Python tips and tutorials**  
+
+- 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)  
+- 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)
+- A thorough guide to SQLite database operations in Python [[Markdown]](./sqlite3_howto/README.md)
+- Unit testing in Python - Why we want to make it a habit [[Markdown]](./tutorials/unit_testing.md)
+- Installing Scientific Packages for Python3 on MacOS 10.9 Mavericks [[Markdown]](./tutorials/installing_scientific_packages.md)
+
+**// benchmarks**
+
+- Python benchmarks via `timeit` [[IPython nb]](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 [[IPython nb]](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/cython_least_squares.ipynb?create=1)  
+- Benchmarks of different palindrome functions [[IPython nb]](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/palindrome_timeit.ipynb?create=1)  
+
+
+
+**// other**
+
+- Happy Mother's Day [[IPython nb]](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/funstuff/happy_mothers_day.ipynb?create=1)
+
+
+**// useful snippets**
+
+- 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)
diff --git a/useful_scripts/fix_tab_csv.ipynb b/useful_scripts/fix_tab_csv.ipynb
@@ -0,0 +1,94 @@
+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:996358a25da6fc77c66d183e79209307af06bd2f9abb0656d3bb70cfc2fe597a"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Sebastian Raschka 05/09/2014"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "# Fixing CSV files"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "We have a directory `../CSV_files_raw/` with CSV files where some of them have 'tab-separated' and some of them 'comma-separated' columns.  \n",
+      "Here, we will 'fix' them, i.e., have them all comma-separated, and save them to a new directory `../CSV_fixed`."
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "First, we create a dictionary with the file basenames as keys. The values are lists of the file paths to the raw and new fixed CSV files. e.g., \n",
+      "\n",
+      "    {\n",
+      "    'abc.csv': ['../CSV_files_raw/abc.csv', '../CSV_fixed/abc.csv'], \n",
+      "    'def.csv': ['../CSV_files_raw/def.csv', '../CSV_fixed/def.csv'], \n",
+      "    ...\n",
+      "    }"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import sys\n",
+      "import os\n",
+      "\n",
+      "raw_dir = '../CSV_files_raw/'\n",
+      "fixed_dir = '../CSV_fixed'\n",
+      "\n",
+      "if not os.path.exists(fixed_dir):\n",
+      "    os.mkdir(fixed_dir)\n",
+      "\n",
+      "f_dict = {os.path.basename(f):[os.path.join(raw_dir, f),\n",
+      "                                  os.path.join(fixed_dir, f)]\n",
+      "             for f in os.listdir(raw_dir) if f.endswith('.csv')} "
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 8
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Now, we can replace the tabs with commas for the new files very easily:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "for f in f_dict.keys():\n",
+      "    with open(f_dict[f][0], 'r') as raw, open(f_dict[f][1], 'w') as fixed:\n",
+      "        for line in raw:\n",
+      "            line = line.strip().split('\\t')\n",
+      "            fixed.write(','.join(line) + '\\n')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 11
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
