Unlock the power of efficient JSON encoding in Python using json.make_encoder. Explore advanced techniques for optimizing data serialization, handling complex data types, and boosting performance in web applications and APIs. Master JSON encoding for seamless data exchange.
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Enhance JSON decoding in Python with custom object decoding by extending the JSONDecoder class. Learn how to go beyond default decoding of JSON strings into primitive Python data types to handle more complex scenarios, such as converting date strings or instantiating complex objects. Gain greater control over the decoding process.
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Discover how to use json.loads to parse JSON data from a string effortlessly. JSON, a universal data format, is crucial for transmitting and storing data. In Python, JSON data corresponds to dictionaries and lists, easily converted using the built-in json module. Mastering JSON processing is essential for developers.
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Understanding json.dumps for converting Python objects to JSON strings. Learn about the lightweight data-interchange format this is easy for humans and machines to use. JSON is language-independent and ideal for web applications, APIs, and storing configuration data.
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Enhance JSON serialization in Python by subclassing the JSONEncoder class. Override the default method to implement custom serialization behavior for complex objects. This approach allows smooth conversion of non-serializable objects, like datetime, into a JSON-friendly format, ensuring seamless data interchange between systems and applications.
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Learn how to effectively import RSS, XML, JSON, CSV and HTML into WooCommerce using the CyberSEO Pro plugin. Optimize your product descriptions with GPT technology for enhanced SEO.
In this article, we will create a simple GraphQL application, a message board, by combining many recent open-source technologies. This article aims to be a showcase of technologies that work well together rather than a complete tutorial on project setup. It's however a long read, so we decided to