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Storing Dictionaries in Python: JSON vs. Pickle
Storing dictionaries in a persistent format allows developers to save and retrieve data beyond a single program instance. Two popular methods for doing so are JSON and pickle.
JSON
To store a dictionary in a JSON file:
<code class="python">import json with open('data.json', 'w') as fp: json.dump(data, fp)</code>
To load the dictionary from the JSON file:
<code class="python">with open('data.json', 'r') as fp: data = json.load(fp)</code>
Pickle
Pickle offers an alternative approach for storing dictionaries:
Store
<code class="python">import pickle with open('data.p', 'wb') as fp: pickle.dump(data, fp, protocol=pickle.HIGHEST_PROTOCOL)</code>
Load
<code class="python">with open('data.p', 'rb') as fp: data = pickle.load(fp)</code>
Comparison
Both JSON and pickle provide means of storing and loading Python dictionaries. However, they differ in their serialization and deserialization mechanisms, and may be suitable for different scenarios based on requirements such as compatibility with other programming languages, file size, and speed. Consider these factors when choosing the appropriate method for your application.
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