Please note that enabling disappearing messages will not have any effect on messages that were sent before the setting was enabled. You will also see a clock icon displayed on the contact’s profile image. When you enable disappearing messages, you will see a notification in the chat. If prompted, tap Continue to confirm the selection. Scroll down and select Disappearing Messages. To enable disappearing messages in an individual WhatsApp chat, open the chat and tap the contact’s name. Unfortunately, the seven-day option is the only one that WhatsApp currently provides. If you enable this setting, WhatsApp will securely delete chats from your phone and that of the recipient seven days after they are sent. You can set messages in an individual chat to disappear after seven days. You can further protect your conversations and the files you share on the app by setting messages to disappear automatically and by sharing photos and videos that vanish as soon as they are seen by the recipient. If you choose to stay on WhatsApp despite these risks, the app offers a very reliable and secure messaging platform protected by end-to-end encryption. In the event of data breach, all of this sensitive data could be compromised. Facebook then uses this information for commercial purposes and shares it with partners. WhatsApp shares this information with its parent company Facebook. Although WhatsApp cannot access your encrypted messages, it collects a lot of metadata (the who, when and where information about your messaging) on you, as well as your contacts and information about your device. However, it is less focused on user privacy than messengers like Signal or Wire. WhatsApp is generally a very secure messaging app that offers end-to-end encryption by default.
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Noise reduction is one of the exceptions, at least in a 4K timeline at full resolution, but still, that kind of performance from a $699 Mac is incredibly impressive. DaVinci Resolve runs happily on an M1 Mac Mini with only 8GB of unified memory and plays 4K media on a 4K timeline with most operations on the Resolve Color Page processed in real time. However, Apple Silicon has changed everything in terms of the minimum hardware requirements and cost of entry to professional post production for creators and filmmakers. For many such systems, the general points you’ll find here are just as valid as they were years ago, even with the latest hardware choices. I first published this article in 2015, and as you read on, what I present here applies to conventional x86 based PC’s and Intel Macs. However, just as million dollar proprietary systems serving Hollywood blockbusters gave way to software running on off the shelf computer hardware, I believe we are again at a major turning point where an entry level Apple Silicon Mac can easily run this software with sufficient performance for the majority of visual creators. If you want the ultimate performance, this is still true. Up until very recently, high end video post production tools such as Resolve required high end workstation class computer hardware, with multiple dedicated GPU’s and ideally, hundreds of GB RAM. Those days of million dollar suites that only large commercial post facilities could afford are long gone, and computer technology has raced ahead in performance to the point where almost anybody with the desire to learn, can now have access to these tools. Through the latter half of the 1980’s to early 2000’s DaVinci was a specialized color corrector tied to telecine and film scanners, it required dedicated hardware costing many hundreds of thousands of dollars. DaVinci Resolve has a long history in high-end film and video finishing, starting long before it was acquired by Blackmagic Design, and long before it was a software solution. I originally started compiling this guide in 2015 with Resolve 11, and as of my latest update to this post, Resolve 17 has been with us for over a year already. As with all things tech, change comes quickly. No permanent hardware modifications are needed as print cores and materials can be simply replaced like any other print core or filament. Especially for this Kit, Ultimaker developed a new Print Core DD 0.4, a highly wear-resistant core to print the abrasive support material. – All required items for metal parts preparation from printing to accessing post-processing services, including materials and a set of dedicated print cores to support both the metal filament (Ultrafuse® 17-4PH) and the Ultrafuse Support Layer, allowing full design freedom. Thanks to the low total cost of ownership and savings up to 90% over small series of not-standard auxiliary components and tools, our early adopters are already realizing return-on-investment (ROI) in less than a year.” 3D print metal with Ultimaker The Kit provides access to a complete and validated 3D printing workflow on an open platform that offers competitive quality and lead times normally only accessible with full in-house metal fused filament fabrication (MFFF) solutions at a much higher total cost of ownership. “The Ultimaker Metal Expansion Kit is especially suitable for printing non-of-the-shelf parts such as tools, jigs and fixtures, replacement parts, functional prototypes and auxiliary components. Andrea Gasperini, Product Manager at Ultimaker explains a little more about the new kit provides an easy-to-use solution for metal parts preparation on the Ultimaker platform. Ultimaker has this week introduced its first dedicated solution for 3D printing metal parts in the form of the Ultimaker Metal Expansion Kit designed in collaboration with industry partners to be compatible with the Ultimaker S5 printer. The main difference of this application from similar programs with a free license, is the ability to create an image of the Windows OS while it is running without having to reboot the PC, as well as loading of the Linux OS or one of the simplified versions of Windows OS in order to complete the image. It has a few paid tiers that empower the app even further, but the free version offers sufficient features for the casual user looking to protect their data.Macrium Reflect Free Edition is a free and fast program designed to create data backup and work with the images of the hard drives. This facilitates transferring your data to a new storage unit to a great extent - the fact that you can clone an entire drive, which you can boot up and view in File Explorer, is great to have when you’re looking to backup your stuff. Doing so will make Macrium Reflect create a new partition of that particular image, fully accessible through File Explorer and/or the app itself.Īn option to clone a specific disk is also available. Restore and create bootable imagesĪside from the features mentioned prior, users can also restore their drive image through the app. There is also a backup solution for files and folders, but that can only be accessed via the Home edition. By way of using the menu on the left, users have the option to clone a drive or more on their machine, along with the capability of creating an image file for Windows’ back-up and restore function. Upon booting the app, the thing you first notice is probably the drive section, which shows your disks and their available storage. Macrium Reflect’s interface is not the most minimalistic, but it does the job insofar as it clearly shows you what can be done and how it can be achieved. The design of backup apps has always seemed a bit cryptic to understand. Macrium Reflect Free Edition is supposed to do just that by giving you the ability to back up your drives in several forms. The ability to back stuff up internally is also an option, but there are also more advanced methods to safeguard your data against corruption or various failures. Whether it is on the cloud, on a portable USB stick, or to some external hard drive, methods exist for users who are proactive enough to put a fail-safe in place. Backing up your data has become a fact of life in the 21st century. It has everything you need to get started using Python for data science including a lot of the packages that we’ll be covering in the article. The best way to install Python for data science is to use the Anaconda distribution (you’ll notice a fair amount of snake-related words in the community). If you aren’t sure which Python version you want to install, choose Python 3. 1 ‒ Go to the Anaconda Website and choose a Python 3.x graphical installer (A) or a Python 2.x graphical installer (B). Installing Anaconda using a graphical installer is probably the easiest way to install Anaconda. make -j4 Final step : “cd python-package sudo python setup.py install” To check and see if this has succeded, you can either open a jupyter notebook or type “pip freeze” in your terminal and ensure that xgboost is there with a version. 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