Added the problem description

Author: ch-garcia

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

@@ -1,3 +1,57 @@
+"""
+595. Big Countries
+Solved
+Easy
+Topics
+Companies
+SQL Schema
+Pandas Schema
+Table: World
+
++-------------+---------+
+| Column Name | Type    |
++-------------+---------+
+| name        | varchar |
+| continent   | varchar |
+| area        | int     |
+| population  | int     |
+| gdp         | bigint  |
++-------------+---------+
+name is the primary key (column with unique values) for this table.
+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.
+
+A country is big if:
+
+it has an area of at least three million (i.e., 3000000 km2), or
+it has a population of at least twenty-five million (i.e., 25000000).
+Write a solution to find the name, population, and area of the big countries.
+
+Return the result table in any order.
+
+The result format is in the following example.
+
+Example 1:
+
+Input: 
+World table:
++-------------+-----------+---------+------------+--------------+
+| name        | continent | area    | population | gdp          |
++-------------+-----------+---------+------------+--------------+
+| Afghanistan | Asia      | 652230  | 25500100   | 20343000000  |
+| Albania     | Europe    | 28748   | 2831741    | 12960000000  |
+| Algeria     | Africa    | 2381741 | 37100000   | 188681000000 |
+| Andorra     | Europe    | 468     | 78115      | 3712000000   |
+| Angola      | Africa    | 1246700 | 20609294   | 100990000000 |
++-------------+-----------+---------+------------+--------------+
+Output: 
++-------------+------------+---------+
+| name        | population | area    |
++-------------+------------+---------+
+| Afghanistan | 25500100   | 652230  |
+| Algeria     | 37100000   | 2381741 |
++-------------+------------+---------+
+"""
+
 import pandas as pd
 
 def big_countries(world: pd.DataFrame) -> pd.DataFrame:

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

@@ -1,3 +1,46 @@
+"""
+2879. Display the First Three Rows
+Solved
+Easy
+Companies
+Hint
+DataFrame: employees
++-------------+--------+
+| Column Name | Type   |
++-------------+--------+
+| employee_id | int    |
+| name        | object |
+| department  | object |
+| salary      | int    |
++-------------+--------+
+Write a solution to display the first 3 rows of this DataFrame.
+
+Example 1:
+
+Input:
+DataFrame employees
++-------------+-----------+-----------------------+--------+
+| employee_id | name      | department            | salary |
++-------------+-----------+-----------------------+--------+
+| 3           | Bob       | Operations            | 48675  |
+| 90          | Alice     | Sales                 | 11096  |
+| 9           | Tatiana   | Engineering           | 33805  |
+| 60          | Annabelle | InformationTechnology | 37678  |
+| 49          | Jonathan  | HumanResources        | 23793  |
+| 43          | Khaled    | Administration        | 40454  |
++-------------+-----------+-----------------------+--------+
+Output:
++-------------+---------+-------------+--------+
+| employee_id | name    | department  | salary |
++-------------+---------+-------------+--------+
+| 3           | Bob     | Operations  | 48675  |
+| 90          | Alice   | Sales       | 11096  |
+| 9           | Tatiana | Engineering | 33805  |
++-------------+---------+-------------+--------+
+Explanation: 
+Only the first 3 rows are displayed.
+"""
+
 import pandas as pd
 
 def selectFirstRows(employees: pd.DataFrame) -> pd.DataFrame: