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Pickle

Pickle is a Python module that is used for serializing and deserializing Python objects. Serialization is the process of converting a Python object into a binary format, which can then be saved to a file or transmitted over a network. Deserialization is the reverse process, where the binary data is converted back into a Python object.

One of the primary use cases for Pickle is in machine learning projects. When working with feature engineering, for example, it can be time-consuming to redo the process every time you start a new session. By using Pickle, you can save the feature-engineered data in a binary format and load it back later, thus saving time and increasing productivity 1.

Additionally, Pickle allows you to store multiple objects in a single file. This means you can save various data objects together, and when reloading, you can choose to load only the specific objects you need, rather than all of them at once 3.

Why turn into a Pickle?

 Towards Data Science

Save machine learning model using Pickle - Python Dump feature engineering data and learn how doing this will save you time and increase your productivity.

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But Where Does the Pickle Go?

 Towards Data Science

Lesson 5 of “Practical Deep Learning for Coders” by fast.ai

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Lesser-known feature of Pickle Files

 Daily Dose of Data Science

Pickles are widely used to dump data objects to disk. But folks often dump just a single object into a pickle file. Moreover, one creates multiple pickles to store multiple objects. However, did you k...

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— Tools for pickle developers

 The Python Standard Library

pickletools — Tools for pickle developers Source code: Lib/pickletools.py This module contains various constants relating to the intimate details of the pickle module, some lengthy comments about the...

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Don’t Fear the Pickle: Using Pickle.dump and Pickle.load

 Better Programming

Make your multi-Jupyter_notebook code workflow both readable and fast with this pair of python code snippets

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Pickling Perils in Python

 The Pythoneers

In this article we will examine in detail what pickling or serialization is in Python. And build on that understanding to bring to light how it can lead to RCE or Remote Code Execution when it is perf...

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Pickling and Unpickling in python Explained

 Analytics Vidhya

Pickling allows you to serialize and de-serializing Python object structures. In short, Pickling is a way to convert a python object into a character stream so that this character stream contains all…...

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3 Commands to Secure Your ML Models from Malicious Pickles

 Towards AI

A computer from the 90s in the style of vaporwave created by DALL・E First of all, what is a pickle Basically, it is a Python object. I don’t know much about pickle, so it’s hard for me to explain what...

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Pickle in Python? Data Serialization

 Python in Plain English

Transform how you store and share Python objects Image generated by me, connect with me on LinkedIn and X When working on Python projects, there’s often a need to save data for later use, share it be...

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Pickling and Un-pickling in Python: A Comprehensive Tutorial

 Python in Plain English

Img src: cppsecrets Python’s pickling and un-pickling capabilities provide a powerful mechanism for serializing and deserializing Python objects. In this tutorial, we will explore the concepts of pick...

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Pickling in Python: A Guide to Serializing and Saving Objects

 Python in Plain English

In Python, pickling refers to the process of serializing and deserializing objects. Serialization, also known as pickling, converts Python objects into a byte stream so they can be saved to a file or ...

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jsonpickle: Turning Python pickles into JSON

 Mouse Vs Python

The other day, I saw an interesting question on StackOverflow where the author asked if there was a way to serialize a Python dictionary into a human-readable format. The answer that was given was to ...

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