A survey of 110 security leaders finds all are investing in software supply chain security, with application security posture management (ASPM) and DevSecOps automation and orchestration topping the priority list, followed closely by security composition analysis (SCA) tools, application programming interface (API) security and dynamic application security testing (DAST) tools.In addition, 30% of respondents expect to be piloting a software bill of materials (SBOM) initiative in the next 24 months, the survey finds.However, the source of the funding for these initiatives is becoming more of a shared responsibility, with only 21% of respondents reporting that security budgets are the sole…
Author: drweb
Why does DevOps appear to be the last priority for a team when it looks glaringly like something that only the larger tech enterprises can afford to maintain? If this question has crossed your mind at least once, you are not alone. Many development teams avoid DevOps like the plague, thinking it is too complicated, multidimensional or expensive, since the perception is that it’s not tailored for them. Contrary to popular belief. Small teams can adopt DevOps without the restrictiveness or requirements of a maintained engineer if they focus on the backbone principle of collaboration, automation and continuous improvement. Lastly, expect…
scipy.special felt like something I could skip. Turns out, if you are doing any work in physics, engineering, or advanced math, this subpackage is a lifesaver. Special functions are not “special” because they are rare—they are essential because they show up everywhere in scientific formulas, from signal processing to statistical distributions.The scipy.special module gives you fast, accurate implementations of mathematical functions that go far beyond standard NumPy operations. Things like the gamma function, error function, Bessel functions, and orthogonal polynomials are all here—implemented in C under the hood but easily accessible from Python.What Are Special Functions in SciPy?In SciPy, special…
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience.Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers.Of course, the pool of available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role, it tends to create opportunities for others.The five job postings shared this week are selected based on the company looking to hire, the vertical industry segment and naturally, the pay…
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If you’re working with physics equations or scientific simulations in Python, you don’t need to manually define constants like the speed of light or Avogadro’s number. The scipy.constants module gives you immediate access to hundreds of predefined physical and mathematical constants—all with correct units and precision. You’ll also find unit conversion factors, allowing you to convert between metric, imperial, and other systems cleanly in code.Why Use scipy.constants?Avoid hardcoding physical constants.Get correct values with units (e.g., ‘c’ for speed of light in m/s).Built-in unit conversions (e.g., Celsius to Kelvin, joules to calories).Enables readable, reliable scientific code.How to Acess SciPy Constants?Start by…
When you build a server according to your plan and requirements, you want it to run quickly and efficiently, right? But did you know that modern Linux systems, especially those using systemd, often install and run many services by default, even if you don’t need them? These unwanted services consume precious system resources and can even become security risks. In this article, we’ll walk through how to identify and disable unnecessary services on systemd-based Linux distributions like Fedora, CentOS, Ubuntu, Debian, and others. Why Should You Care About Unwanted Services? When you install Linux, the OS typically enables several services…
The SciPy library is organized into focused subpackages, each built on NumPy, and each covering a specific domain like linear algebra, integration, optimization, and statistics. These modules are accessed via scipy., and they’re all interoperable with NumPy arrays. Knowing which module to use and when is essential for clean, efficient scientific computing.Core Structure of SciPyAt the top level, scipy is a namespace. All functionality lives in submodules under it. You rarely work with scipy directly. Instead, you import what you need from the relevant subpackage. Each subpackage is designed around a well-defined purpose and wraps low-level compiled libraries for performance.For…
FTP stands for File Transfer Protocol and is one of the most widely used and standard protocols over the Internet, which works on a client-server model and is used to transfer files between a client and a server. Originally, FTP clients were command-line based, but now most platforms come with FTP clients and servers built-in, and many third-party FTP client/server programs are available. Here we present 15 Interview Questions based on VsFTP (Very Secure File Transfer Protocol) running on Linux servers, explained in a simple and beginner-friendly way. 1. What is the difference between TFTP and FTP Server? TFTP (Trivial…
Tired of inventory headaches? Stock shortages and gluts don’t just cause stress; they cost you. Good news: an SQL-powered product inventory dashboard puts you firmly in control of stock levels, sales patterns, and those critical reorder points. Forget guesswork about restocking or the fear of over-ordering. Data, extracted through smart SQL, lets you make informed choices. You’ll nail trend monitoring, sales tracking, and overall inventory management like a seasoned pro.I’m going to lay out exactly how to build an SQL inventory dashboard, step-by-step, so you won’t feel lost. If SQL feels a bit rusty, or you’re newer to it, I…