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Source channel @githubtrending · Post #15123 · Sep 6

#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft

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Libreware

@libreware · Post #1223 · 02/11/2024, 11:51 PM

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. You can log and track the phone locations of your family and friends in complete privacy, using your Nextcloud server. To do this you need to install the Nextcloud PhoneTrack App on your Nextcloud server, and the Android PhoneTrack App on every DeGoogled phone you want to track. The F-Droid version is old and buggy. To get the newer Dev Android version, you: 1. Go to the PhoneTrack Dev GitLab page, scroll down and click the "APK Direct Download" link 2. At top "Pipeline" option, click the Download arrow and select "AssembleDevDebug:archive" 3. This downloads a zip file. Extract the zip and install the APK. CONNECT ALL PHONES AND TRACK 4. On Nextcloud create a dedicated account for PhoneTracking. 5. Create a PhoneTrack "Session" in the Nextcloud PhoneTrack app. 6. Sign each phone into the Nextcloud PhoneTrack account, and on the phone, add a "PhoneTrack log job" to the Session on Nextcloud. ⚡️@LinuxTechIndex #PhoneTrack#Tracker#Nextcloud

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