Should I buy a Chromebook or a Windows laptop? It's a common question, whether asked by parents weighing the best computer option for back-to-school or by people who just want an inexpensive computer for themselves. We'll help you choose the right one. Our latest update includes more answers to questions you might have: such as, how slow (and inexpensive) can a Chromebook be before it stops being usable? What does Windows 11 and Windows 11 SE mean for laptops? Read on for the answers, plus our up-to-date buying guide for November 2021 and Black Friday, plus more details and what to buy. A notebook PC or laptop powered by Microsoft Windows offers several advantages. Windows offers the most flexibility to run just about any app, your choice of any browser, and configure antivirus options, utilities, and more. You can tweak and configure your PC as you choose. That convenience demands more computing horsepower, and often a higher price compared to most Chromebooks. Prices can soar into the thousands of dollars, and if you need a powerful PC for gaming or video editing, Chromebooks can't compete, and they don't try to. But you'll find some great deals among our more affordably priced, top Windows picks. See our buying guide to the best laptops for even more options.
IBM announced on Tuesday that Saaf Water, a water quality platform from India, was named winner of the Call for Code Global Challenge. The startup will now get $200,000, access to a slate of IBM tools to build out their platform further. The developers behind the project will also get help from the Linux Foundation to open source their application so developers around the world can improve, scale, and use the technology as well. Saaf Water -- the first tool from India to win the global challenge -- is a hardware-software platform that uses IBM's IoT features to monitor a number of water quality parameters and provide users with accurate data about their local water sources, particularly those in rural communities. Hrishikesh Bhandari, project lead at Saaf Water, told ZDNet that he was inspired to create the platform when his mother fell severely ill after unknowingly consuming contaminated water from her village's public groundwater source.
Become a modern and complete Python developer! Join a live online community of over 400,000 developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. This is a brand new Python course just launched this year (updated this month)! Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python).
Google Translate is an amazing feat of engineering, which uses artificial intelligence to translate speech and text from a chosen language into another. In most cases, Google Translate's own interface embedded in Google Search or on translate.google.com Again, as in other Case Studies presented here, Google Sheets comes to the rescue! Other than formatting the file to your liking, you can create some drop-down lists for the Source and Target languages. This will help you being more productive as you do not need to search for the language codes every time you want to change them. In my case, I used the Data Validation feature using as a criterion a List from a Range.
Microsoft has announced it's adding even more security features to the protection it offers to open-source operating systems. Defender for Endpoint on Linux server gained endpoint detection and response (EDR) abilities a few months ago and now has extra capabilities for Azure Defender customers. It makes sense for Microsoft to develop security products for Linux, given that Linux distributions dominate virtual machine OSes on its Azure cloud. One key change is that Linux EDR detection and live response is now in public preview. Live response allows for in-depth investigations and quick threat containment by giving security teams forensic data, the ability to run scripts, share suspicious entities, and hunt for possible threats.
Programming is a vast field, and starting to learn it without a plan can be a waste of time. You may end up learning something that you will never use. Let's take a step by step and clarify. Step 1. Decide on a goal First of all, find out what exactly you need to learn for the desired job by answering some of the following questions. Once you've answered the questions, start researching the area you want to work in to get the skills you need.
Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don't yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. While there isn't an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: By adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.
The Solarwinds software supply chain attack is the one everyone knows about. But supply chain attacks are becoming commonplace, and that's bad news. There are efforts afoot, such as the Linux Foundation's Software Package Data Exchange (SPDX) project, which ensures transparency and improves compliance for software bill of materials (SBOM). But, we need SBOMs now. As President Joseph Biden's Executive Order on Improving the Nation's Cybersecurity says, we must provide "a purchaser with an SBOM for each application."
Python is one of the most widely used programming languages in the world, and for good reason. Because of its vast libraries and flexible structure, it's simple to learn, has consistent and easy-to-parse syntax, and is utilized for artificial intelligence applications. The platform's spectacular ascent has sparked a devoted community, fueled in no little part by its adoption by big companies such as DropBox, Reddit, and Instagram, to name a few. Check out this list of Python developers to follow if you're seeking Python programmers who are leading the charge. The people on this list have solid technical credentials, are constantly adding new and interesting features to the platform, and have a strong social media presence.