The Latest Stories
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Using R for Data Science: Machine Learning R is a system for statistical computing and graphics and is commonly used in data science. R is one of the fastest growing languages based on recent TIOBE rankings. R consists of a language, a runtime environment, and a debugger. R programs stored as scripts may be run on the command line or in an IDE such as RStudio |
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Test, Test, Test Test, test, test. This is a phrase that has caught everyone’s attention this year as we grapple to mitigate COVID-19. The WHO states that testing is the only way out, as we cannot fight the pandemic blindfolded. |
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The Future of Micronaut As many of us in the development community know, Micronaut® is a free and open public-use software development framework that is used to build modular, easily-testable microservice and serverless applications. |
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Test Teams Evaluation to Improve Effectiveness Evaluating a test team member’s abilities is crucial in recognizing deficiencies within the team, and it provides an opportunity to outline a strategy to remedy the weaknesses. Selecting the proper method for evaluating the test team’s abilities is vital. |
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How to Run a Productive and Effective Remote Team With remote work becoming the norm, now is a good time to consider how you can help your team do their best without causing burnout. Fortunately, remote work may actually improve productivity. After all, it's one of the factors that largely contribute to job satisfaction. |
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Comparing PHP and JavaScript PHP and JavaScript are both scripting languages ranked in the top 10 in the TIOBE index. A scripting language is a special-purpose programming language that is used for automating tasks. PHP is designed to be a server-side scripting language, while JavaScript is mainly used for client-side scripting |
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A Physical Metaphor for Quick Fixes and Root Cause Analysis If you deal with legacy code you’ve likely found yourself struggling to debug and fix a mysterious, intermittent problem. Along the way you may have discovered some code that didn’t quite make sense. |
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Schedule Risk Analysis Building schedules for complex projects is challenging. While the results are never perfect, credible schedules are a useful communication and coordination device. Incredible schedules are a dangerous waste of time and energy that damage a project manager’s credibility and cost an enterprise a fortune. |
