Rust Programming Tutorial for Beginners - Full Course

Rust Programming Course for Beginners - Tutorial

Learn the Rust programming language in this course for beginners.

⭐️ Course Contents ⭐️
⌨️ (00:00) Course Introduction
⌨️ (01:16) Rust Overview
⌨️ (02:00) Initialising the CLI Calculator
⌨️ (04:25) Handling Environment Arguments
⌨️ (09:00) Understanding the nth Method
⌨️ (16:00) Parsing Strings into Floats
⌨️ (18:05) Declaring a Function
⌨️ (18:30) If Statements
⌨️ (21:20) Implicit Returns
⌨️ (22:25) Parsing String into Char
⌨️ (23:20) Formatting Output
⌨️ (25:20) Match Control Flow
⌨️ (27:05) Panicking!
⌨️ (28:30) Building a Release
⌨️ (29:30) Initialising the Image Combiner
⌨️ (30:00) Creating Args Module
⌨️ (31:08) Structs
⌨️ (32:30) Declaring the New Module
⌨️ (33:20) Private vs Public
⌨️ (34:30) Implementing the New Function
⌨️ (36:40) Deriving the Debug Trait
⌨️ (37:40) Using get_nth_arg in Struct
⌨️ (38:57) External Crates
⌨️ (39:52) Decoding Images
⌨️ (43:15) Destructuring Tuples
⌨️ (43:56) Importing Missing Types
⌨️ (44:35) Handling Format Errors with Result
⌨️ (46:00) Enums
⌨️ (47:20) Resizing Images
⌨️ (55:00) FloatingImage Struct
⌨️ (56:35) Buffers with Vecs
⌨️ (58:15) TryInto Conversions
⌨️ (1:00:05) Deriving Debug for Enums
⌨️ (1:00:40) Running the Code with Images
⌨️ (1:02:25) Combining the Image Pixels
⌨️ (1:11:20) Understanding Borrows and References
⌨️ (1:12:15) Creating Methods
⌨️ (1:15:20) Error Propagation
⌨️ (1:15:53) Saving the New Image
⌨️ (1:17:30) Using the Image Combiner
⌨️ (1:18:20) Better Error Handling

💻 Rust Template used in video: https://replit.com/@Sky020/Rust-Template?v=1

⭐️ Resources ⭐️
🔗 Slides: https://docs.google.com/presentation/d/1k2kPfrLunscHV4n-4IoC3D78dNR6R1Rhdi039PCG-Wk/edit?usp=sharing 
🔗 Article version: https://www.freecodecamp.org/news/rust-in-replit/ 
🔗 Rust in Replit Course: https://replit.com/github/freeCodeCamp/Rust-in-Replit 

#rust #programming #developer 

 

What is GEEK

Buddha Community

SQL Tutorial - Full Database Course for Beginners. DO NOT MISS!!!

In this course, we’ll be looking at database management basics and SQL using the MySQL RDBMS.
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (2:36) What is a Database?
⌨️ (23:10) Tables & Keys
⌨️ (43:31) SQL Basics
⌨️ (52:26) MySQL Windows Installation
⌨️ (1:01:59) MySQL Mac Installation
⌨️ (1:15:49) Creating Tables
⌨️ (1:31:05) Inserting Data
⌨️ (1:38:17) Constraints
⌨️ (1:48:11) Update & Delete
⌨️ (1:56:11) Basic Queries
⌨️ (2:08:37) Company Database Intro
⌨️ (2:14:05) Creating Company Database
⌨️ (2:30:27 ) More Basic Queries
⌨️ (2:26:24) Functions
⌨️ (2:45:13) Wildcards
⌨️ (2:53:53) Union
⌨️ (3:01:36) Joins
⌨️ (3:11:49) Nested Queries
⌨️ (3:21:52) On Delete
⌨️ (3:30:05) Triggers
⌨️ (3:42:12) ER Diagrams Intro
⌨️ (3:55:53) Designing an ER Diagram
⌨️ (4:08:34) Converting ER Diagrams to Schemas
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=HXV3zeQKqGY&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=8
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#sql #sql tutorial #full database course for beginners #database management basics #sql using the mysql rdbms #sql tutorial - full database course for beginners

C++ Tutorial for Beginners - Full Course. DO NOT MISS!!!

This course will give you a full introduction into all of the core concepts in C++.
⭐️ Contents ⭐
⌨️ (0:00:00) Introduction
⌨️ (0:01:38) Windows Installation
⌨️ (0:04:54) Mac Installation
⌨️ (0:08:44) Setup & Hello World
⌨️ (0:12:29) Drawing a Shape
⌨️ (0:19:55) Variables
⌨️ (0:31:43) Data Types
⌨️ (0:39:15) Working With Strings
⌨️ (0:49:00) Working With Numbers
⌨️ (0:59:41) Getting User Input
⌨️ (1:05:32) Building a Calculator
⌨️ (1:09:28) Building a Mad Libs
⌨️ (1:13:45) Arrays
⌨️ (1:20:03) Functions
⌨️ (1:29:47) Return Statement
⌨️ (1:35:22) If Statements
⌨️ (1:47:15) If Statements (con’t)
⌨️ (1:55:58) Building a Better Calculator
⌨️ (2:02:20) Switch Statements
⌨️ (2:10:47) While Loops
⌨️ (2:18:53) Building a Guessing Game
⌨️ (2:29:18) For Loops
⌨️ (2:38:32) Exponent Function
⌨️ (2:45:21) 2d Arrays & Nested Loops
⌨️ (2:54:55) Comments
⌨️ (2:59:11) Pointers
⌨️ (3:13:26) Classes & Objects
⌨️ (3:25:40) Constructor Functions
⌨️ (3:34:41) Object Functions
⌨️ (3:41:43) Getters & Setters
⌨️ (3:54:04) Inheritance

Course developed by Mike Dane. Check out his YouTube channel for more great programming
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=vLnPwxZdW4Y&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=10
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#c++ #c++ tutorial #c++ tutorial for beginners #c++ tutorial for beginners - full course #core concepts in c++.

Python tutorial Full Course from scratch

Go to playlist and learn full Python Course in free. No charges are applied. 100% FREE course.

https://www.youtube.com/playlist?list=PLTUSGW0o2A2EWLA7ePmiz8brEwrR2R3Cq

subscribe for more #interesting tutorials and courses.

#python #full course #free #beginners #python full course #tutorial

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 

Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials