O'Reilly Media - Ideas

SEPTEMBER 15, 2021

The results are biased by the survey’s recipients (subscribers to O’Reilly’s Data & AI Newsletter ). Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. See Figure 4 for the full list. Salary vs. programming language.

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O'Reilly Media - Ideas

JANUARY 25, 2024

Companies aren’t going to throw out 20 years’ investment in PHP so they can adopt the latest popular React framework, which will probably be displaced by another popular framework next year. Those gains only look small in comparison to the triple- and quadruple-digit gains we’re seeing in natural language processing.

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Altexsoft

DECEMBER 14, 2022

Gone are the days of a web app being developed using a common LAMP (Linux, Apache, MySQL, and PHP ) stack. What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. Hardware isn’t virtualized. How to get started with Docker.

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Weak Development Team Linux Operating System Virtualization 52

Altexsoft

SEPTEMBER 28, 2021

This compact, low-level language runs on a Python virtual machine (PVM), which is software that mimics the work of the real hardware. By contrast, a low-level language offers little to no human-readable elements, as it sits close to hardware and is often optimized for a specific CPU (central processing unit.). Dynamic semantics.

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O'Reilly Media - Ideas

JANUARY 25, 2022

We used data from the first nine months (January through September) of 2021. When doing year-over-year comparisons, we used the first nine months of 2020. Data analysis” and “data engineering” are far down in the list—possibly indicating that, while pundits are making much of the distinction, our platform users aren’t.

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Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

We’re just saying that when you make comparisons, you have to be careful about exactly what you’re comparing. The biggest challenge facing operations teams in the coming year, and the biggest challenge facing data engineers, will be learning how to deploy AI systems effectively. The horse race? That’s just what it is.

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