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@@ -1,5 +1,12 @@
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{
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"cells": [
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {},
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+ "source": [
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+ "# Guided Project Solution: Building Fast Queries on a CSV"
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+ ]
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+ },
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{
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"cell_type": "markdown",
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"metadata": {},
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@@ -217,41 +224,41 @@
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},
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{
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"cell_type": "code",
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- "execution_count": 6,
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+ "execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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- "0.5884554386138916\n",
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- "0.0024595260620117188\n"
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+ "0.5494911670684814\n",
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+ "0.002789735794067383\n"
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]
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}
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],
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"source": [
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- "import time # step 1\n",
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- "import random # step 2\n",
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+ "import time # step 1\n",
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+ "import random # step 2\n",
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"\n",
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- "ids = [random.randint(1000000, 9999999) for _ in range(10000)] # step 3\n",
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+ "ids = [str(random.randint(1000000, 9999999)) for _ in range(10000)] # step 3\n",
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"\n",
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- "inventory = Inventory('laptops.csv') # step 4\n",
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+ "inventory = Inventory('laptops.csv') # step 4\n",
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"\n",
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- "total_time_no_dict = 0 # step 5\n",
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- "for id in ids: # step 6\n",
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- " start = time.time() # step 6.1\n",
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- " inventory.get_laptop_from_id(id) # step 6.2\n",
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- " end = time.time() # step 6.3\n",
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- " total_time_no_dict += end - start # step 6.4\n",
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+ "total_time_no_dict = 0 # step 5\n",
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+ "for identifier in ids: # step 6\n",
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+ " start = time.time() # step 6.1\n",
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+ " inventory.get_laptop_from_id(identifier) # step 6.2\n",
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+ " end = time.time() # step 6.3\n",
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+ " total_time_no_dict += end - start # step 6.4\n",
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" \n",
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- "total_time_dict = 0 # step 7\n",
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- "for id in ids: # step 8\n",
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- " start = time.time() # step 8.1\n",
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- " inventory.get_laptop_from_id_fast(id) # step 8.2\n",
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- " end = time.time() # step 8.3\n",
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- " total_time_dict += end - start # step 8.4\n",
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+ "total_time_dict = 0 # step 7\n",
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+ "for identifier in ids: # step 8\n",
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+ " start = time.time() # step 8.1\n",
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+ " inventory.get_laptop_from_id_fast(identifier) # step 8.2\n",
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+ " end = time.time() # step 8.3\n",
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+ " total_time_dict += end - start # step 8.4\n",
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" \n",
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- "print(total_time_no_dict) # step 9\n",
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+ "print(total_time_no_dict) # step 9\n",
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"print(total_time_dict)"
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]
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},
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yunoac