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#javascript

Fabrice Bellard's latest creation

Small embeddable JavaScript engine with QuickJS

Programming legend Fabrice Bellard released a new project: the QuickJS JavaScript Engine landed with its first public release. This small, embeddable JS engine consists of just a few simple C files. Check out the benchmarks compared to other JS engines such as JerryScript and see how it performs.

Over 60 international JS experts

International JavaScript Conference 2019: Early bird special

The International JavaScript Conference’s early bird special ended July 11th. The conference features five focused tracks full of workshops, sessions, and over 60 international speakers. Learn about JS frameworks, libraries, machine learning with JS, best practices with Angular, DevOps, web development, and more.

Watch Ingo Rammer's session from the International JavaScript Conference 2018

Blockchain for Developers – What’s behind the hype?

The blockchain is one of the hot topics on the tech scene right now. If some expect it to revolutionize the internet, others see the blockchain as a solution for very specific use cases. What’s behind the hype? Ingo Rammer’s session from the International JavaScript Conference provides answers.

ES modules in Node.js: The status quo

Nearly every programming language provides the ability to split the code that makes up a program into multiple files. The #include directive is used for this purpose in C and C ++, while Java and Python have the import keyword. JavaScript was one of the few exceptions up till now, but the new JavaScript standard (ECMAScript 6) changes this by introducing so-called ECMAScript modules. All major browsers already support this new standard – only Node.js seems to be lagging behind. Why is that?

Dive deeper into your data

Create interactive data-exploration tools and web apps with Python in Panel

Python continues to be the language of choice for all things scientific. Panel is a new open source high-level library for creating ways of showing off scientific data. It supports popular Python plotting libraries such as Bokeh, Matplotlib, and Datashader for data visualization. Create reactive objects with Panel and compose plots, tables, and more.