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Commit c30fe4c

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‎30-days-pandas/0595-big-countries.py‎

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"""
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595. Big Countries
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Solved
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Easy
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Topics
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Companies
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SQL Schema
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Pandas Schema
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Table: World
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+-------------+---------+
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| Column Name | Type |
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+-------------+---------+
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| name | varchar |
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| continent | varchar |
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| area | int |
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| population | int |
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| gdp | bigint |
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+-------------+---------+
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name is the primary key (column with unique values) for this table.
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Each row of this table gives information about the name of a country, the continent to which it belongs, its area, the population, and its GDP value.
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A country is big if:
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it has an area of at least three million (i.e., 3000000 km2), or
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it has a population of at least twenty-five million (i.e., 25000000).
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Write a solution to find the name, population, and area of the big countries.
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Return the result table in any order.
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The result format is in the following example.
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Example 1:
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Input:
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World table:
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+-------------+-----------+---------+------------+--------------+
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| name | continent | area | population | gdp |
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+-------------+-----------+---------+------------+--------------+
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| Afghanistan | Asia | 652230 | 25500100 | 20343000000 |
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| Albania | Europe | 28748 | 2831741 | 12960000000 |
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| Algeria | Africa | 2381741 | 37100000 | 188681000000 |
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| Andorra | Europe | 468 | 78115 | 3712000000 |
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| Angola | Africa | 1246700 | 20609294 | 100990000000 |
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+-------------+-----------+---------+------------+--------------+
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Output:
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+-------------+------------+---------+
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| name | population | area |
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+-------------+------------+---------+
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| Afghanistan | 25500100 | 652230 |
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| Algeria | 37100000 | 2381741 |
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+-------------+------------+---------+
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"""
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import pandas as pd
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def big_countries(world: pd.DataFrame) -> pd.DataFrame:

‎introduction-pandas/2879-display-first-rows.py‎

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"""
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2879. Display the First Three Rows
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Solved
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Easy
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Companies
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Hint
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DataFrame: employees
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+-------------+--------+
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| Column Name | Type |
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+-------------+--------+
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| employee_id | int |
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| name | object |
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| department | object |
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| salary | int |
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+-------------+--------+
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Write a solution to display the first 3 rows of this DataFrame.
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Example 1:
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Input:
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DataFrame employees
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+-------------+-----------+-----------------------+--------+
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| employee_id | name | department | salary |
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+-------------+-----------+-----------------------+--------+
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| 3 | Bob | Operations | 48675 |
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| 90 | Alice | Sales | 11096 |
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| 9 | Tatiana | Engineering | 33805 |
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| 60 | Annabelle | InformationTechnology | 37678 |
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| 49 | Jonathan | HumanResources | 23793 |
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| 43 | Khaled | Administration | 40454 |
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+-------------+-----------+-----------------------+--------+
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Output:
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+-------------+---------+-------------+--------+
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| employee_id | name | department | salary |
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+-------------+---------+-------------+--------+
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| 3 | Bob | Operations | 48675 |
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| 90 | Alice | Sales | 11096 |
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| 9 | Tatiana | Engineering | 33805 |
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+-------------+---------+-------------+--------+
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Explanation:
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Only the first 3 rows are displayed.
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"""
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import pandas as pd
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def selectFirstRows(employees: pd.DataFrame) -> pd.DataFrame:

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