Author: drweb

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…

Read More

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…

Read More

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…

Read More

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…

Read More
SQL

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…

Read More

In today’s cloud-native world, the race isn’t just about how fast you ship software — it is about how confidently you do it. For teams in highly regulated industries, speed without control is a liability. Compliance isn’t optional, but traditional approaches — manual reviews, static audits and post-deployment checks — are fundamentally at odds with modern DevOps workflows. Enter continuous compliance: A shift-left, automation-first approach that integrates security and regulatory controls directly into continuous integration and continuous deployment (CI/CD) pipelines. Rather than bolting on compliance after the fact, teams can now build it into every pull request, infrastructure change and deployment…

Read More

Integrating artificial intelligence (AI) onto legacy software is like trying to get an old flip phone to run the latest augmented reality (AR) apps. Yet, enterprises continue to take this approach, in the process encountering compatibility issues, sluggish performance and AI behavior which deviates from expectations.  We live in an AI-centric age, where organizations have AI integrated into at least one business function. Statista reports that global AI adoption soared to 72% in 2024 from 55% in 2023. Hence, it is no secret that AI is quickly becoming a mainstream business tool instead of remaining an emerging trend. However, Boston Consulting…

Read More

Datadog is expanding the scope of its DevOps portfolio following a pair of acquisitions that add feature flagging and data observability capabilities to its portfolio of services.At the same time, the company also launched a pair of open source projects through which Datadog is providing access to an open-weights AI model, dubbed Toto, specifically trained using time-series data in a way that makes it possible to instantly detect anomalies and capacity planning issues and BOOM, a time-series benchmark that provides access to 350 million observations across 2,807 real-world multivariate methods to capture the scale, sparsity, spikes and cold-start issues that…

Read More

DevOps has transformed how developers build, deploy, and manage infrastructure and applications, making automation, scalability and rapid iteration core to modern development workflows. While much of the software delivery process has evolved, authorization has largely remained stuck in legacy approaches. Many organizations still manage homegrown solutions with hardcoded permissions across services, custom policies by different teams, and manual updates as access needs shift. These approaches may work initially, but they do not scale properly. As teams adopt microservices, APIs and multi-cloud architectures, fragmented authorization systems become a liability. Each policy change demands manual effort across teams and services, slowing development, increasing the risk of…

Read More