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Python Pickle Tutorial: Object Serialization | DataCamp

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Are you tired of rerunning your Python code every time you need to access a previously created data frame, variable, or machine learning model? Object serialization may be the solution you’re looking for. It is the process of storing a data structure in memory so that you can load or transmit it when required without losing its current state. Here is a simple diagram explaining how serialization works: Image by author In Python, we work with high-level data structures such as lists, tuples, and sets. However, when we want to store these objects in memory, they need to be converted into a sequence of bytes that the computer can understand. This process is called serialization. The next time we want to access the same data structure, this sequence of bytes must be converted back into the high-level object in a process known as deserialization. We can use formats such as JSON, XML, HDF5, and Pickle for serialization. In this tutorial, we will learn about the Python Pickle library for seri

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