Python Pickle | Serialization & Deserialization Explained
🥒 What is Python Pickle? | Serialization & Deserialization Explained
In this video, we dive into Python's built-in pickle module — the standard way to serialize and deserialize Python objects into a byte stream.
Whether you're saving a trained machine learning model, caching complex data structures, or passing objects between processes, pickle is probably already part of your workflow. By the end of this video, you'll know exactly how it works and when to reach for it.
📌 What You'll Learn:
• What serialization and deserialization mean in Python
• How pickle.dumps() and pickle.loads() work under the hood
• Saving and loading objects with pickle.dump() and pickle.load()
• What kinds of objects pickle can handle (classes, lambdas, nested structures)
• Common real-world use cases: ML models, IPC, caching, and session data
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Code Samples
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import pickle
data = {"channel": "Algorithms & AI", "topic": "Technology", "score": 10}
with open("data.pkl", "wb") as f:
pickle.dump(data, f)
print ("Data file saved successfully")
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import pickle
with open("data.pkl","rb") as f:
data = pickle.load(f)
print (data["channel"])
print (data["topic"])
print (data["score"])
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