Here are the pandas snippets that will make data cleaning easier. These will make the process easier and faster.
#Note: I will gradually update the list
1. To clean numbers and text inside brackets from a column using regex
import pandas as pd
import re
df = pd.DataFrame({"Code":["EE","NP","USA","ES"],"Country":["Estonia{EE}","Nepal123","United States Of America(USA)","Spain"]})
df
df['Country'] = df['Country'].replace(r"[\(\[\{].*?[\)\]\}]|[^a-zA-Z ]", "",regex=True)
df