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Awesome\n\nHereby we present a list of awesome resources and blogs on topics related to Unum!\nSuggested for everyone wishing to join the core Unum team or contribute to our Open-Source projects!\n\n* :octocat: means source code\n* :tv: means video channels\n* :scroll: means textual blogs\n* 📖 means complete books\n* 🇷🇺 implies content is in Russian\n\n## Learning Python\n\n* :octocat: [WTF Python](https://github.com/satwikkansal/wtfpython): Understanding Python through surprising snippets..\n* :tv: [mCoding](https://www.youtube.com/c/mCodingWithJamesMurphy) by James Murphy.\n* 📖 [Python Design Patterns](https://python-patterns.guide/) by Brandon Rhodes.\n* :scroll: [Lesser known parts of Python standard library](https://www.trickster.dev/post/lesser-known-parts-of-python-standard-library/) by \"Trickster Dev\".\n\nIf you want to contribute to our projects, please check our [Python Coding Guidelines](/GuidePython).\n\n## Learning C++\n\nLearning C++ can be tricky and few good courses exist:\n\n* :tv: 🇷🇺 [MIPT Course in Basic C++](https://youtube.com/playlist?list=PL3BR09unfgciJ1_K_E914nohpiOiHnpsK)\n\nAfter covering the basics, use [CppReference.com](https://en.cppreference.com/w/) as a reference for the C++ standard library.\nIt's generally more [reliable than CPlusPlus.com](https://www.reddit.com/r/cpp/comments/1b0lp7u/comment/ks8vgy7/?utm_source=share\u0026utm_medium=web2x\u0026context=3).\nOther useful manuals for low-level engineering include:\n\n* [Arm intrinsics](https://developer.arm.com/architectures/instruction-sets/intrinsics/)\n* [Intel intrinsics](https://www.intel.com/content/www/us/en/docs/intrinsics-guide/index.html) for x86 CPUs\n* [CUDA intrinsics](https://docs.nvidia.com/cuda/cuda-math-api/modules.html#modules) for Nvidia GPUs\n* [Clang built-ins](https://clang.llvm.org/docs/LanguageExtensions.html#builtin-functions)\n* [GCC built-ins](https://gcc.gnu.org/onlinedocs/gcc-4.7.2/gcc/Other-Builtins.html#Other-Builtins)\n* [C++ Header Sizes](https://artificial-mind.net/projects/compile-health/)\n\nIf you want to contribute to our projects, please check our [C++ Coding Guidelines](/GuideCpp).\n\n## Engineering\n\n* 📜 [Algorithms for Competitive Programming](https://cp-algorithms.com/#data-structures) blog\n* :octocat: [C++ Benchmarking Tutorial](https://github.com/ashvardanian/BenchmarkingTutorial) for Google toolchain: `std::rand`, `std::execution`\n* :octocat: [Experimental Concurrency](https://github.com/s9w/experimental_concurrency) benchmarks for C++ STL concurrent primitives: `std::thread`, `std::atomic`, `std::mutex`\n* :octocat: [Parallel Reductions](https://github.com/unum-cloud/ParallelReductions): CUDA, Intel TBB, SIMD, x86 AVX2, ARM Neon\n* :octocat: [Foreign Function Interface Overheads](https://github.com/dyu/ffi-overhead)\n* 📜 [LWN](https://lwn.net): latest news from the kernel space\n* 📜 [Linux Insides](https://github.com/0xAX/linux-insides) book\n* :octocat: [UCSB Benchmark](https://github.com/unum-cloud/UCSB) for persistent storage: io_uring, eBPF, RocksDB, LevelDB, WiredTiger.\n\n## Data Science\n\n* 📜 [Parallelism strategies for training large Neural Networks](https://openai.com/blog/techniques-for-training-large-neural-networks/) blog by OpenAI\n* 📜 [Semantic search with embeddings](https://rom1504.medium.com/semantic-search-with-embeddings-index-anything-8fb18556443c) blog by Romain Beaumont  - googler, Laion5B dataset and open_clip contributor\n\n## DevOps\n\n* 📜 [Common Applications of k8s](https://blog.adamchalmers.com/kubernetes-problems/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funum-cloud%2Fawesome","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Funum-cloud%2Fawesome","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Funum-cloud%2Fawesome/lists"}