# Convert the dictionary into DataFrame
df = pd.DataFrame(data)
# select two columns
df[['Name', 'Qualification']]
df1 = df[['a', 'b']]
df['col_3'] = df.apply(lambda x: x.col_1 + x.col_2, axis=1)
#Example, in a df with about 20 columns
#If you want to select columns 1-3, 7, 8, 12-15
# Use numpy's np.r_ to slice the columns and parse it into pandas iloc[] slicer
df.iloc[:, np.r_[1:3, 7, 8, 12:15]]
#This selects all rows "df.iloc[:," and then these selected columns "np.r_[1:3, 7, 8, 12:15]]"
#Remember to import numpy ;)
df1 = df[['a', 'b']]