Double rounding
The previous post started by saying that rounding has a surprising amount of detail. An example of this is double rounding: if you round a number twice, you might not get the same result as if you rounded directly to the final precision. For example, let’s say we’ll round numbers
Read moreA magical land where rounding equals truncation
Rounding numbers has a surprising amount of detail. It may seem trivial but, as with most things, there is a lot more to consider than is immediately obvious. I expect there have been hundreds if not thousands of pages devoted to rounding in IEEE journals. An example of the complexity
Read moreZEISS Demonstrates the Power of Scalable Workflows with Ampere Altra and SpinKube
Read ZEISS Demonstrates the Power of Scalable Workflows with Ampere Altra and SpinKube and learn Web with SitePoint. Our web development and design tutorials, courses, and books will teach you HTML, CSS, JavaScript, PHP, Python, and more. Continue reading ZEISS Demonstrates the Power of Scalable Workflows with Ampere Altra and
Read moreDuplicating Hankel plot from A&S
Abramowitz and Stegun has quite a few intriguing plots. The post will focus on the follow plot, Figure 9.4, available here. We will explain what the plot is and approximately reproduce it. The plot comes from the chapter on Bessel functions, but the caption says it is a plot of
Read moreWhy all developers should adopt a safety-critical mindset
Is anyone designing software where failures don't have consequences?
Read moreSQL Commands: The List of Basic SQL Language Commands
This article provides a comprehensive guide to master SQL Commands. Explore DDL, DML, DCL, and TCL commands along with examples, SQL dialects and best security practices for efficient database management. Continue reading SQL Commands: The List of Basic SQL Language Commands on SitePoint.
Read moreWBIT#3: Can good team dynamics make Agile obsolete?
Kyle welcomes Wes Copeland, a senior frontend engineer at Apartment Advisor, to the interview. They talk about how good test coverage helps you develop software faster, the benefits of low-fidelity prototypes, and why he prefers to avoid vibes-driven development.
Read moreHow to analyze large datasets with Python: Key principles & tips
Data analysis with Python becomes a lot more challenging when dealing with large datasets. Unlike smaller datasets, which can be handled with basic tools and workflows, large datasets bring about unique problems like memory limitations, performance bottlenecks, and slower processing times. These challenges require data analysts, data engineers, and software
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