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Author: drweb
After four highly appreciated and successful articles in our series on Lesser-Known Linux Commands, we’re excited to bring you the final part – but of course, it’s definitely not the least! If you’ve missed any of the previous parts, here’s a quick recap: Now, let’s move on to Part 5, where we explore 10 more practical Linux commands that don’t always get the spotlight but can quickly level up your terminal game. 42. lsb_release – Check Your Distro Info The lsb_release command displays Linux distribution-specific information such as version, ID, release, and codename. lsb_release -a If lsb_release is not installed,…
The Log4j exploit was discovered in December 2021, and by now, it should have been resolved. However, it persists. According to IBM, Log4j vulnerabilities are actively tracked and exploited by attackers. A recent Forbes article highlighted that many organizations remain exposed. The reasons range from patching delays to unknown dependencies and, most commonly, a lack of visibility into what is actually running across their environments. This ongoing risk points to a deeper issue — one that goes beyond a single vulnerability. It underscores the persistent challenge organizations face in identifying, prioritizing and eliminating deeply embedded threats, particularly those hidden within legacy systems…
Detecting peaks in signals is a must-have technique for anyone working with sensor data, biomedical signals, vibration analysis, or any periodic measurement.Peaks often correspond to important events – heartbeats, local maxima, machinery faults, or cycles in experimental data. In Python, you can detect and analyze peaks quickly and flexibly with scipy.signal.find_peaks. Here’s how to do it right and get results you can trust.How to Find Peaks in PythonUse scipy.signal.find_peaks to identify all local maxima in a 1D array. You can filter out noise and irrelevant peaks by setting parameters like minimum height, minimum distance between peaks, and more. This function…
Image processing is a core skill for anyone working in scientific computing, computer vision, biology, engineering, or even basic data analysis.With Python’s scipy.ndimage, you get direct, high-performance access to essential image processing tools—no complex setup, no need for heavy libraries.Here’s how to smooth, enhance, analyze, and transform images with just a few lines of Python.Essential Image Processing Tasks in PythonThe typical pipeline for basic image processing includes:Loading an image as a NumPy arraySmoothing or denoising (blurring, Gaussian filters)Detecting edges or features (Sobel, Prewitt, Laplace)Applying geometric transformations (rotate, zoom, shift)Extracting features or measuring properties (labeling, object analysis)All of these are easy…
The newest Grok is expected to feature advanced coding assistance, a sign that owner Elon Musk is re-evaluating the chatbot’s strategy after Microsoft Corp. and OpenAI released powerful new models that set higher benchmarks for language model performance.Musk’s artificial intelligence (AI) company xAI is skipping Grok 3.5 and moving straight to Grok 4. The latest iteration, expected to launch sometime after July 4, will likely focus on enhanced coding assistance and seamless integration with native code editors, making it a more powerful tool for developers.Clues in the codebase of the Generative AI chatbot suggest xAI is building a native code…
AI is deemed to be the new superpower. Adoption of AI in various capacities is at 72% across industries, world wide, according to one study, and it does not show signs of slowing down. Meanwhile, concerns around ethical issues surrounding AI are also high – according to a PEW research report published in April 2025, more than 60% of the general public polled voiced concerns around misinformation, security of their data, and bias/discrimination. We, as database technologists and software developers, are an important part of this evolution – A github research survey from 2024 indicated that more than 97% of…
Sphinx is a Python-based documentation builder. The Python documentation is written using Sphinx. The Sphinx project supports using ReStructuredText and Markdown, or a mixture of the two. Each page of your documentation or website must be written using one of those two formats. The original Python 101 website uses an old version of Sphinx, for example. In this tutorial, you will learn how to use Sphinx to create a documentation site. Here is an overview of what you’ll learn: Getting the dependencies Setting up the site Making Markdown work in Sphinx Building your Sphinx site Adding content to your site…
The Model Context Protocol (MCP) ecosystem is exploding. In just weeks, our Docker MCP Catalog has surpassed 1 million pulls, validating that developers are hungry for a secure way to run MCP servers. Today, we’re excited to share major updates to the Docker MCP Catalog, including enhanced discovery features and our new open submission process. With hundreds of developers already requesting to publish their MCP servers through Docker, we’re accelerating our mission to make containerized MCP servers the standard for secure AI tool distribution. The rapid adoption of MCP servers also highlights a critical problem — the current practice of…
Signal processing in Python often starts with the scipy.signal module. If you need to filter, analyze, or extract features from signals – like cleaning up sensor data, audio, or biomedical measurements – scipy.signal delivers powerful, efficient tools you can use right away. With this guide, you’ll see practical steps to get started, process real data, and avoid common pitfalls, all with tight, copy-paste-ready code.What Does scipy.signal Offer?scipy.signal handles everything from simple smoothing to advanced digital filter design, spectral analysis, convolution, peak detection, and feature extraction. You don’t have to be a DSP expert to use it. Typical workflows include:Filtering noisy…