Using pickle.dump - TypeError: must be str, not bytes
To resolve the TypeError: must be str, not bytes with pickle.dump, open the file in binary mode with 'wb'. Here's the corrected code:
Replace 'output.pkl' with your filename and data_to_save with the object you're pickling.
Before we pickle
Python's pickle module serializes (pickles) and deserializes (unpickles) Python objects. You've likely run into the "must be str, not bytes" problem, because you were trying to pickle an object into a file opened in text (not binary) mode.
Essentially: you served pickle in a bakery bag, not a pickle jar.
What's in a byte?
Binary mode is important. It keeps everyone happy by making sure data reads and writes are exact. It's the peacekeeper in a land where line ending conversions can ruin the day.
If you're reading from a pickle file, use 'rb' mode:
Bytes're for serial...ization
If you want to serialize your object into a bytes object before writing it to a file:
From bytes back to edible pickles
And if you need to deserialize:
Tips and tricks
1. Data type matters
Pickling needs bytes. Writing bytes as if they were text... well, it's kind of like giving your cat dog food. They might eat it, but they won't be happy!
2. Protocol can almost rhyme with profit
Protocols - the higher the number, the newer the protocol. Think of it as software years - bigger is younger. But remember your audience—if you're sharing pickled objects with Python 2 users, don't go overboard!
3. Sharing is caring
When sharing pickles across Python versions, consider the diversity. Protocols from Python 3 can seem like gibberish to Python 2.
4. Safety first!
Unpickling = potential code execution. Remember to only unpickle what you trust.
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