massive destruct-ion

_.ipynb

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     "output_type": "stream",
     "text": [
      "(0, 1, 2, 3, 4, 5, 6, 7, 8, 9)\n"
     ]
    }
   ],
   "source": [
    "x = tuple(range(10))\n",
    "print(x)"
   ]
  },
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   "outputs": [
    {
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     "text": [
      "(0, 2, 4, 6, 8)\n",
      "(1, 3, 5, 7, 9)\n"
     ]
    }
   ],
   "source": [
    "evens, odds = x[::2], x[1::2]\n",
    "print(evens)\n",
    "print(odds)"
   ]
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     "text": [
      "3\n",
      "7\n"
     ]
    }
   ],
   "source": [
    "three, _, seven = x[3:8][::2]  # _ = convention for unused vars\n",
    "print(three)\n",
    "print(seven)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
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   "outputs": [
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     "data": {
      "text/plain": [
       "3"
      ]
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     "execution_count": 4,
     "metadata": {},
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   ],
   "source": [
    "_, three, _, seven, _ = x[1::2]  # it can even be on the lhs multiple times\n",
    "three"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 3]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = {'a': 1, 'b': 2, 'c': 3}\n",
    "\n",
    "# me shortly after discovering destructuring in js\n",
    "def destruct(a_dict, keys):\n",
    "    return [a_dict.get(k) for k in keys]\n",
    "\n",
    "destruct(d, ['a', 'c'])"
   ]
  }
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