benchmarking_ways_to_update_counters.ipynb

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   "source": [
    "Let's benchmark operator vs method for Counter updates"
   ]
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   "execution_count": 57,
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   "source": [
    "from collections import Counter\n",
    "import random\n",
    "from string import ascii_letters as letters"
   ]
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    "# Setup\n",
    "old_counts = Counter()\n",
    "\n",
    "new_counts = {''.join(random.choices(letters, k=10)): random.randint(1, 100) for _ in range(1_000_000)}"
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     "text": [
      "463 ms ± 10.6 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit -n 10\n",
    "\n",
    "global old_counts # Must be global for benchmarking\n",
    "old_counts += new_counts  # Operator"
   ]
  },
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   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
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   "source": [
    "# Reset for fair benchmarking\n",
    "old_counts = Counter()"
   ]
  },
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   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
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     "text": [
      "409 ms ± 20.5 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit -n 10\n",
    "\n",
    "old_counts.update(new_counts)  # Method"
   ]
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   "cell_type": "markdown",
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   "source": [
    "We have a winner - method\n",
    "\n",
    "It is clear that the `update` method is a faster way to update Counters."
   ]
  }
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