This tutorial introduces the Serde crate in Rust, used for serialization and deserialization of data structures. It focuses on JSON, showing how to add Serde and Serde_json as dependencies, derive `Serialize` and `Deserialize` attributes on custom structs, and use functions like `to_string` and `from_string` for converting between Rust structs and JSON. The video also covers handling errors, using attributes for renaming fields and controlling unknown fields, and working with nested structures. Now, what we're going to be talking about in this particular video is a crate for Rust, known as the Surdy crate S--E-R-D-E, and the name Certi actually has two different parts to it. Ser is short for serialization and d E at the end is short for deserialization.00:39Now, when you start building out different types of services, let's say REST APIs for example, or maybe you're building out a CLI tool that's going to interact with a REST API. This segment details Serde's ability to transform text data (like JSON) into Rust structs and vice-versa. It emphasizes Serde's versatility, supporting various file formats such as JSON, YAML, and Apache Arrow, while focusing on JSON's prevalence. This segment explains the necessity of installing both the core Serde crate and format-specific crates (like Serde_json) depending on the file format used. It clarifies the roles of these crates in serialization and deserialization processes, emphasizing the importance of the `derive` feature for using Serde attributes. This segment provides a step-by-step guide on adding Serde and Serde_json as dependencies to a Rust project using Cargo. It explains the importance of including the `derive` feature for using the `Serialize` and `Deserialize` attributes, showcasing the process of managing project dependencies.This segment demonstrates the practical application of Serde for serializing a custom Rust struct (representing a dog) into a JSON string. It shows how to use the `Serialize` attribute, the `to_string` function, and error handling with the `Result` type, providing a clear example of Serde's usage. This segment demonstrates the process of serializing a Rust data structure into a JSON string using the `to_string_pretty` method for improved readability and then deserializing that JSON string back into a Rust data structure using the `from_string` method. The example showcases how to handle JSON data and convert it to a usable format within a Rust application. This segment focuses on error handling during deserialization. It explains how the Rust compiler needs explicit type information for deserialization and introduces the "turbo fish" syntax to specify the data type. The code demonstrates checking for successful deserialization using `.is_ok()` and handling errors using `.err()`, providing robust error management in the deserialization process. This segment illustrates how to induce and handle deserialization errors by intentionally introducing invalid JSON data. It highlights how the `survey` library provides detailed error messages pinpointing the source of the problem (e.g., incorrect data type). The discussion covers how extra fields are handled by default and how to enforce strict validation using the `deny_unknown_fields` attribute.