Learn Rust Together: Chapter 13 (Closures and Iterators) - Part 18

Eighteenth episode in a series where we dive into The Rust Programming language! In this session we covered Chapter 13 of “The Rust Programming Language” where we learn about the more functional concepts in Rust such as Closure and Iterators!

https://doc.rust-lang.org/book/ch13-00-functional-features.html

– Watch live on Tuesday nights from 9pm - 11pm Eastern at https://twitch.tv/tommcgurl

#rust #rust programming

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Learn Rust Together: Chapter 13 (Closures and Iterators) - Part 18

Eighteenth episode in a series where we dive into The Rust Programming language! In this session we covered Chapter 13 of “The Rust Programming Language” where we learn about the more functional concepts in Rust such as Closure and Iterators!

https://doc.rust-lang.org/book/ch13-00-functional-features.html

– Watch live on Tuesday nights from 9pm - 11pm Eastern at https://twitch.tv/tommcgurl

#rust #rust programming

Serde Rust: Serialization Framework for Rust

Serde

*Serde is a framework for serializing and deserializing Rust data structures efficiently and generically.*

You may be looking for:

• An overview of Serde
• Data formats supported by Serde
• Setting up #[derive(Serialize, Deserialize)]
• Examples
• API documentation
• Release notes

Serde in action

Click to show Cargo.toml. Run this code in the playground.

[dependencies]

# The core APIs, including the Serialize and Deserialize traits. Always
# required when using Serde. The "derive" feature is only required when
# using #[derive(Serialize, Deserialize)] to make Serde work with structs
# and enums defined in your crate.
serde = { version = "1.0", features = ["derive"] }

# Each data format lives in its own crate; the sample code below uses JSON
# but you may be using a different one.
serde_json = "1.0"

 

use serde::{Serialize, Deserialize};

#[derive(Serialize, Deserialize, Debug)]
struct Point {
    x: i32,
    y: i32,
}

fn main() {
    let point = Point { x: 1, y: 2 };

    // Convert the Point to a JSON string.
    let serialized = serde_json::to_string(&point).unwrap();

    // Prints serialized = {"x":1,"y":2}
    println!("serialized = {}", serialized);

    // Convert the JSON string back to a Point.
    let deserialized: Point = serde_json::from_str(&serialized).unwrap();

    // Prints deserialized = Point { x: 1, y: 2 }
    println!("deserialized = {:?}", deserialized);
}

Getting help

Serde is one of the most widely used Rust libraries so any place that Rustaceans congregate will be able to help you out. For chat, consider trying the #rust-questions or #rust-beginners channels of the unofficial community Discord (invite: https://discord.gg/rust-lang-community), the #rust-usage or #beginners channels of the official Rust Project Discord (invite: https://discord.gg/rust-lang), or the #general stream in Zulip. For asynchronous, consider the [rust] tag on StackOverflow, the /r/rust subreddit which has a pinned weekly easy questions post, or the Rust Discourse forum. It's acceptable to file a support issue in this repo but they tend not to get as many eyes as any of the above and may get closed without a response after some time.

Download Details:
Author: serde-rs
Source Code: https://github.com/serde-rs/serde
License: View license

#rust  #rustlang 

Learn Rust Together: Chapter 15 #2, Chapter 16 #1 - Part 21

Twenty first episode in a series where we dive into The Rust Programming language! In this session we finish Chapter 15 of “The Rust Programming Language” on smart pointers and start Chapter 16 on Concurrency with Threads!

https://doc.rust-lang.org/book/ch15-00-smart-pointers.html

– Watch live on Tuesday nights from 9pm - 11pm Eastern at https://twitch.tv/tommcgurl

#rust #rust programming

Google Reveals "What is being Transferred” in Transfer Learning

Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.

The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.

#developers corner #learn transfer learning #machine learning #transfer learning #transfer learning methods #transfer learning resources

Learn Rust Together: Chapter 14 (Cargo and Crates) - Part 19

Nineteenth episode in a series where we dive into The Rust Programming language! In this session we covered Chapter 14 of “The Rust Programming Language” where we learn more about Cargo, Crates and writing documentation and doc tests!

https://doc.rust-lang.org/book/ch14-00-more-about-cargo.html

– Watch live on Tuesday nights from 9pm - 11pm Eastern at https://twitch.tv/tommcgurl

#rust #rust programming