diff_df = pd.merge(df1, df2, how='outer', indicator='Exist')

​

diff_df = diff_df.loc[diff_df['Exist'] != 'both']

source_df.merge(target_df,how='left',indicator=True).loc[lambda x:x['_merged']!='both']

df1.merge(df2,indicator = True, how='left').loc[lambda x : x['_merge']!='both']

Out[421]: 

   A  B     _merge

1  2  3  left_only

2  3  4  left_only

3  3  4  left_only

​

# by doing outer, you will get records from both the sides.

f = df1.merge(df2,indicator = True, how='outer').loc[lambda x : x['_merge']!='both']

Out[421]: 

   A  B     _merge

1  2  3  left_only

2  3  4  left_only

3  3  4  left_only

​

left_unique_result = f.loc[lambda x: x['_merge'] == 'left_only']

right_unique_result = f.loc[lambda x: x['_merge'] == 'right_only']

TOML (Tom's Obvious, Minimal Language) is a lightweight configuration file format that is easy to read and write. Python's built-in tomllib (Python 3.11+) or toml package (for earlier versions) can be used to parse TOML files.

​

Reading a TOML File in Pythonimport tomllib  # Python 3.11+ (For older versions, use 'import toml' after installing `toml` package)

​

# Read TOML file

with open("config.toml", "rb") as file:

    config = tomllib.load(file)

​

# Access values

print(config["database"]["host"])  # Output: localhost

print(config["database"]["port"])  # Output: 5432

Example config.toml File[database]

host = "localhost"

port = 5432

user = "admin"

password = "securepass"

​

[server]

debug = true

port = 8080