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+---
+title: Pickling in Python
+---
+
+<!-- ### TODO: More on pickle functions (like `pickle.dumps`). -->
+## Overview
+Pickling refers to the serialization and deserialization of an object in Python. It essentially stores an object to a file so the user can load it later on. During pickling, the Python object is converted to a binary stream.
+
+## Usage Example
+First let's create a class:
+
+```python
+class ExampleClass():
+  def __init__(self, integer, string, number_list):
+    self.integer = integer
+    self.string = string
+    self.number_list = number_list
+  def print_attributes(self):
+    print(self.integer, self.string, self.number_list)
+  def print_sum(self):
+    print(sum(self.number_list))
+
+instance = ExampleClass(10, 'rubberducky', [1, 2, 3, 1, 2])
+instance.print_attributes() # Prints 10 rubberducky [1, 2, 3, 1, 2]
+instance.print_sum() # Prints 9
+````
+    
+Now, let's try pickling it:
+
+```python
+import pickle
+with open('file.pickle', 'wb') as file:
+  pickle.dump(instance, file)
+```
+
+This creates the file `file.pickle`. According to [this StackOverflow thread](https://stackoverflow.com/questions/40433474/preferred-or-most-common-file-extension-for-pickle-files), Python 3's preferred extension is `.pickle`. Now we simply need to lead it:
+
+```python
+import pickle
+with open('file.pickle', 'rb') as file:
+  loaded = pickle.load(file)
+  loaded.print_attributes() # Prints 10 rubberducky [1, 2, 3, 1, 2]
+  loaded.print_sum() # Prints 9
+```
+
+It works! Note that both times, `open()`'s mode was `rb` or `wb`, as opposed to the regular `r` or `w` (which stand for read and write). This is because of how pickle works: it uses binary.
+
+#### More Information
+
+[Python - Pickling](https://docs.python.org/3/library/pickle.html)