The Rise of Rust: Why Developers are Flocking to this New Programming Language

The Rise of Rust: Why Developers are Flocking to this New Programming Language

Rust, a relatively new programming language, has been gaining popularity at an unprecedented rate. According to the Popularity of Programming Language Index, Rust has grown the most in the last five years, with a 2.1% increase. But what makes Rust so appealing to developers?

A New Kid on the Block

Rust was created by Graydon Hoare, a programmer working at Mozilla, in 2006. Hoare was inspired to create Rust after a frustrating experience with a lift at his apartment block in Vancouver. He wanted to write small, fast code without memory bugs, and thus Rust was born. The language was named after a group of fungi that are highly specialized plant pathogens, which are “over-engineered for survival.”

AI Driving Adoption

The dramatic rise of AI is partly responsible for Rust’s growing popularity. GitHub’s Octoverse report notes that generative AI is driving a significant and global spike in individual contributors to generative AI projects, with a 148% year-over-year growth. Rust is a good choice for AI applications because it prioritizes performance and memory safety without compromising on speed.

Real-World Applications

Rust is used by huge household names, including Dropbox, Cloudflare, and Meta. Dropbox employs Rust to sync files to users’ computers, Cloudflare uses it to process more than 20% of all internet traffic, and Meta has used it to redesign some software that manages internal source code.

Learning Resources

If you want to become a “rustacean,” as practitioners affectionately call themselves, you can learn the language for free via the Rust Foundation. With the rise of AI, demand for software developers remains high, and those with the right skills will always demand top salaries.

Top Data Science YouTube Channels to Follow

Staying updated with the latest trends, tools, and techniques is crucial in the ever-evolving field of data science. YouTube has become a valuable resource for learning, offering a wealth of tutorials, lectures, and insights from industry experts. Here are the top 10 data science YouTube channels to follow in 2024:

Kaggle: The Kaggle channel on YouTube is a haven for data scientists; it hosts tutorials, competitions, and even focused discussions on data science projects.
StatQuest with Josh Starmer: StatQuest’s content is presented in a simple and animated manner, making it easy for viewers to understand the presented material, which is based on the mathematics of statistics and various machine learning algorithms.
Data School: Data School is founded by Kevin Markham and presents tutorials and practical guidance regarding data science and machine learning.
Krish Naik: As an influencer with a specialization in data science, Krish Naik’s channel features topics such as machine learning, deep learning, AI, and more.
Siraj Raval: Siraj Raval’s channel is quite popular due to the exciting, funny, and informative videos that are shared regarding data science, machine learning, and artificial intelligence.
Simplilearn: Simplilearn offers detailed courses and guidance on the most essential aspects of data science, AI, and big data.
Corey Schafer: Corey Schafer’s channel has a lot of material on programming, Python, data science, and software development.
Brandon Foltz: Brandon Foltz’s channel is devoted to statistics and data analysis and includes rather comprehensive explanations and examples that allow the reader to grasp the topic.
Tech with Tim: Tech with Tim discusses various topics mainly programming with Python, data science, and machine learning.
The Data Professor: The Data Professor provides lessons, guest lectures, and conversations about data science, machine learning, and biostatistics.