Join us on November 28th at the SQUER office for the first Java and Friends Meetup "REACTIVE AND SECURE" and dive into microservices security and the power of reactive programming! 👉 Register now https://lnkd.in/dimft2Ci Featuring Ionut Balosin, Niyatii Rana and Leon Quattlebaum We are looking forward to seeing you 🤗
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🎉 Certified in C++ Standard Template Library (STL) from GeeksforGeeks! 🚀 I’m excited to share that I’ve completed the C++ STL course on GeeksforGeeks. 🌟 The STL is a powerful library of container classes, algorithms, and iterators that simplifies C++ programming. It provides essential tools like vectors, lists, and stacks, along with efficient sorting and searching algorithms. 💡 During the course, I explored: Containers: Vectors, lists, maps, and more. Algorithms: Sorting, searching, and other data manipulation techniques. Iterators: Traversing elements efficiently. Functors: Customizing algorithm behavior. By mastering the STL, I’m better equipped to write reusable, efficient code. 🤝 Thanks to Mr. Sandeep Jain sir !
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Sharing a small tool I recently built to connect to the wifi on linux over the terminal: https://lnkd.in/d6pw2ps7. It's made in Python, using the Textualize library (https://lnkd.in/dfSTxxzS) for the user interface and dbus-python (https://lnkd.in/dHCghxMe) to deal with the wifi. If you are on a tiling window manager on linux and are tired of the looks of nmtui or of the dependencies of gnome-control-center, give it a shot! Screenshots below
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🚀 FireDucks is a highly optimized Pandas alternative with identical API ⚡ Performance benchmarks show: 27x average speed-up vs Pandas Outperforms Modin (1.2x) and Polars (16x) 🔄 Key technical features: Uses lazy execution by default Supports eager execution mode Available for Linux x86_64 architecture 🔌 Three implementation methods: IPython/Jupyter extension Direct import via fireducks.pandas Python script execution replacement 💻 Usage is simple - just replace pandas imports with FireDucks 📊 Performs better than Pandas across all common tabular operations
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Just finished a course on creating Linux kernel modules. We set up a virtual machine and connected to it through a secure shell, developed a dynamically loaded module to interact with user space via procfs, and wrote a Python script to communicate with our driver. Looking forward to taking a more in-depth course, inshallah.
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CPU AMD Ryzen 7600X instalation, from study to Work : Python | SQL (PostgreeSQL) | PowerBI | Tableau Bios: - XMP - Secure Boot - Ftpm - O.System (Windows)
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what i have learnt today: after coming back from lunch, sitting in my desk wondering what to do before going back to the routine job, cause was feeling tired i tried to learn sth simple but new , just for fun: since im using linux subsystem with python, i though, how would i know the size of my virtualenv (navenv): ~$ du -sh navenv/
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We used Taskmgr.exe to dump LSASS in my previous reply. We can use PyPykatz, a Python library made for parsing and working with LSASS memory dumps, to extract data from LSASS. An essential part of Windows operating systems, LSASS is in charge of handling security and authentication features. Command pypykatz lsa minidumb lsass.DMP Tactics: T1003.001 Technique: OS Credential Dumping: LSASS Memory #redteam #credentialaccess #lsassdump #redteamtips #pypykatz
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Since starting to work with Pulumi in 2021, I've become a huge fan. It provides the flexibility of Terraform, with the "use your familiar programming language"-feature of CDK. 💜 If you've never worked with Pulumi, but you want to give it a shot, here's a nice introductory article by Srinivas Karnati on how to deploy Lambda (including API Gateway). It also explains all the initial steps on how to get started 🎓 https://lnkd.in/eD4kmXsY
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#Linux manages memory for processes efficiently and dynamically, using both physical RAM and virtual memory. Each process gets its own virtual memory space, and Linux employs mechanisms like paging and swapping to handle memory usage efficiently. #python @MinervaDB #dba https://zurl.co/Isai
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Executing #CODESYS SoftMotion function blocks from #PYTHON asyncio Fast variable exchange between CODESYS and PYTHON via shared memory. I have written a short tutorial on this topic: https://lnkd.in/eattmrDm * CODESYS is running on custom real-time Linux (#PTXdist) * #Mitsubishi MELSERVO MR-J5-G-N1with functional safety * #Beckhoff TwinSAFE EL1918 + EL1904 * Setting drive STO from #TwinSAFE using FSOE * #RaspberryPi 4b with real-time #EtherCAT Full source code on GitHub: https://lnkd.in/eBHWbsuc More examples on my YouTube channel: https://lnkd.in/ewEeUHpJ #controlOS
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