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Programming: Python, Rust and Mozilla

Submitted by Roy Schestowitz on Wednesday 24th of April 2019 01:12:59 AM Filed under
Development
  • What do companies expect from Python devs in 2019?

    Python is everywhere.

    According to the 2019’s StackOverflow’s Developer Survey, it is the 2nd most loved programming language in the world.

  • Sending Emails With Python
  • PyCoder’s Weekly: Issue #365 (April 23, 2019)
  • Rust's 2019 roadmap

    Each year the Rust community comes together to set out a roadmap. This year, in addition to the survey, we put out a call for blog posts in December, which resulted in 73 blog posts written over the span of a few weeks. The end result is the recently-merged 2019 roadmap RFC. To get all of the details, please give it a read, but this post lays out some of the highlights.

  • Why AI + consumer tech?

    After talking to nearly 100 AI experts and activists, this consumer tech focus feels right for Mozilla. But it also raises a number of questions: what do we mean by consumer tech? What is in scope for this work? And what is not? Are we missing something important with this focus?

    At its simplest, the consumer tech platforms that we are talking about are general purpose internet products and services aimed at a wide audience for personal use. These include things like social networks, search engines, retail e-commerce, home assistants, computers, smartphones, fitness trackers, self-driving cars, etc. — almost all of which are connected to the internet and are fueled by our personal data. The leading players in these areas are companies like Google, Amazon, Facebook, Microsoft and Apple in the US as well as companies like Baidu, TenCent, and AliBaba in China. These companies are also amongst the biggest developers and users of AI, setting trends and shipping technology that shapes the whole of the tech industry. And, as long as we remain in the era of machine learning, these companies have a disproportionate advantage in AI development as they control huge amounts for data and computing power that can be used to train automated systems.

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