What is Pickling and How Pickling is done in Python

What is Pickling in Python

Today we are going to talk about the pickling and unpickling concept in Python. It is a part of our standard library with the basic installation of Python.

What is Pickling in Python?

Pickling is the concept of serializing a python object into a byte stream. The basic concept of pickle is to store the object for a long period of time, with the prevention of any harm to the object. So, basically, Pickling is done to store the object.

Now the question arises as we have pickled the object so is it possible to get the pickled object back?

The answer to that question is Yes, we can unpickle the object.

Unpickling Concept.

Unpickling is the deserializing of the python object. In other words, it is the reverse process of pickling, to get the pickled object back.

During this process of pickling and unpickling, no kind of harm or damage is done to our object. These are the processes of storing the object for a period of time and then getting it back when needed.

Objects can be lists, dictionaries, class objects, and more.

In general, pickling is the most useful with Data Analytic with Python, where you are performing routine tasks on the data, such as pre-processing. Also, it makes a lot of sense when you’re working with Python-specific data types, such as dictionaries.

How Pickling is done?

To do the pickling process, In Python Training, It has a module named Pickle. The Pickle module has a dump() function, which is made to store the object in a bit file. That bit file must have the extension .pickle.

So, the dump() will take our object and dump it inside the .pickle file.

A stepwise description of the process is as below:

First, we will import the pickle module.

Pickle Module in Python

then we will make an object which we want to dump in .pickle file.

dump in pickle file

Now we have to create a .pickle file for the dumping process. Also, we have to tell the mode in which we want to open our file just as something we do in file handling. There are two modes here :

  • ‘Write Binary’ – This is the mode we use to open and write in the file. But the .pickle file only accepts the binary input. That’s why the mode is written binary.
  • ‘Read Binary – This is the mode to read from the .pickle file.

Creating .pickle file using open() function :

data pickle

Now we will use the dump() function to dump the object into the .pickle file.

pickle dump

After this we will close the file we have opened:

Pickle File Close

Read about – How to Working with Text Files in Python: The Basics

Why close the file?

  • If a file is opened to perform any operations then it’s locked to be opened by any other resource until the process itself closes it.
  • Operating System keeps a check on the number of files opened by a program and thus closing files after use allows you to stay within that restriction.

With this, we have done the process of dumping the object in the .pickle file. Now, we have to unpickle the object from the file.

The process of unpickling is as follows:

First, we will open the same file we have closed but this time it will be in reading binary mode.

open data pickle

Now, we will use the load() function of the pickle module to load the object, which we have dumped before. We have to give the variable name as an argument to load()in which we have opened our file.

pickle load

Finally, to get the output after performing unpickling, we will be able to see the object. We just have to put the variable name in the print() function.

pickle Print

Conclusion :

Simply speaking, Python serialization is the act of converting a Python object into a byte stream. In Python Training, we use the module ‘pickle’, which has a binary serializable format. Serialization of classes and functions is possible.

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