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QA Engineering Roles: Skills, Tools, and Responsibilities in a Testing Team

Altexsoft

Depending on team size and structure, QA is viewed and utilized differently, but tailored to specific organization needs. Other variations of QA-related job offerings are QA analyst, QA engineer, automation engineer, test automation developer, etc. Besides that, manual testing is used as an initial step in developing automated tests.

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The Good and the Bad of Docker Containers

Altexsoft

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. million monthly active developers sharing 13.7

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The Good and the Bad of Python Programming Language

Altexsoft

web development, data analysis. Source: Python Developers Survey 2020 Results. Similar to Java , Ruby, C++, and many other popular programming languages, Python supports object-oriented programming (OOP) that concentrates on entities or objects developers will work with. many others. How Python is used. Object-oriented.

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MEAN Stack Development

Existek

What is MEAN stack development? Is it the same as full-stack development? What is the salary of a MEAN stack developer? The IT world changes fast, and it’s crucial for developers to stay up to date with the technologies they choose for the projects. What is MEAN stack development. MEAN stack developer salary.

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Technology Trends for 2022

O'Reilly Media - Ideas

What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers? Software Development. But what other transitions are in progress?

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed. We’re just saying that when you make comparisons, you have to be careful about exactly what you’re comparing.