lambda_functions.ipynb

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     "source": [
      "# Lambda Functions\n",
      "\n",
      "- **Author:** [Chris Albon](http://www.chrisalbon.com/), [@ChrisAlbon](https://twitter.com/chrisalbon)\n",
      "- **Date:** -\n",
      "- **Repo:** [Python 3 code snippets for data science](https://github.com/chrisalbon/code_py)\n",
      "- **Note:** From: Learning Python"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Lambda functions can ask as mini-functions, allowing you to create small bits of code into things like series."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Create a series, called pipeline, that contains three mini functions"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "pipeline = [lambda x: x **2 - 1 + 5,\n",
      "            lambda x: x **20 - 2 + 3,\n",
      "            lambda x: x **200 - 1 + 4]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### For each item in pipeline, run the lambda function with x = 3"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for f in pipeline:\n",
      "    print(f(3))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
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