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            "title": "Product Price at a Given Date",
            "titleSlug": "product-price-at-a-given-date",
            "content": "<p>Table: <code>Products</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name   | Type    |\n+---------------+---------+\n| product_id    | int     |\n| new_price     | int     |\n| change_date   | date    |\n+---------------+---------+\n(product_id, change_date) is the primary key (combination of columns with unique values) of this table.\nEach row of this table indicates that the price of some product was changed to a new price at some date.</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find the prices of all products on <code>2019-08-16</code>. Assume the price of all products before any change is <code>10</code>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The&nbsp;result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nProducts table:\n+------------+-----------+-------------+\n| product_id | new_price | change_date |\n+------------+-----------+-------------+\n| 1          | 20        | 2019-08-14  |\n| 2          | 50        | 2019-08-14  |\n| 1          | 30        | 2019-08-15  |\n| 1          | 35        | 2019-08-16  |\n| 2          | 65        | 2019-08-17  |\n| 3          | 20        | 2019-08-18  |\n+------------+-----------+-------------+\n<strong>Output:</strong> \n+------------+-------+\n| product_id | price |\n+------------+-------+\n| 2          | 50    |\n| 1          | 35    |\n| 3          | 10    |\n+------------+-------+\n</pre>\n",
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            "exampleTestcases": "{\"headers\":{\"Products\":[\"product_id\",\"new_price\",\"change_date\"]},\"rows\":{\"Products\":[[1,20,\"2019-08-14\"],[2,50,\"2019-08-14\"],[1,30,\"2019-08-15\"],[1,35,\"2019-08-16\"],[2,65,\"2019-08-17\"],[3,20,\"2019-08-18\"]]}}",
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                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef price_at_given_date(products: pd.DataFrame) -> pd.DataFrame:\n    ",
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                    "lang": "PostgreSQL",
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            "sampleTestCase": "{\"headers\":{\"Products\":[\"product_id\",\"new_price\",\"change_date\"]},\"rows\":{\"Products\":[[1,20,\"2019-08-14\"],[2,50,\"2019-08-14\"],[1,30,\"2019-08-15\"],[1,35,\"2019-08-16\"],[2,65,\"2019-08-17\"],[3,20,\"2019-08-18\"]]}}",
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                "Create table If Not Exists Products (product_id int, new_price int, change_date date)",
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                "insert into Products (product_id, new_price, change_date) values ('1', '20', '2019-08-14')",
                "insert into Products (product_id, new_price, change_date) values ('2', '50', '2019-08-14')",
                "insert into Products (product_id, new_price, change_date) values ('1', '30', '2019-08-15')",
                "insert into Products (product_id, new_price, change_date) values ('1', '35', '2019-08-16')",
                "insert into Products (product_id, new_price, change_date) values ('2', '65', '2019-08-17')",
                "insert into Products (product_id, new_price, change_date) values ('3', '20', '2019-08-18')"
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