https://github.com/unum-cloud/awesome
A list of awesome resources and blogs on topics related to Unum
https://github.com/unum-cloud/awesome
List: awesome
awesome awesome-list computer-science education jobs
Last synced: 8 days ago
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A list of awesome resources and blogs on topics related to Unum
- Host: GitHub
- URL: https://github.com/unum-cloud/awesome
- Owner: unum-cloud
- Created: 2022-05-16T11:44:13.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-10-15T17:04:20.000Z (9 months ago)
- Last Synced: 2025-05-30T15:35:12.688Z (about 1 month ago)
- Topics: awesome, awesome-list, computer-science, education, jobs
- Homepage: https://unum.cloud/jobs
- Size: 34.2 KB
- Stars: 40
- Watchers: 4
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Awesome
Hereby we present a list of awesome resources and blogs on topics related to Unum!
Suggested for everyone wishing to join the core Unum team or contribute to our Open-Source projects!
* :octocat: means source code
* :tv: means video channels
* :scroll: means textual blogs
* 📖 means complete books
* 🇷🇺 implies content is in Russian
## Learning Python
* :octocat: [WTF Python](https://github.com/satwikkansal/wtfpython): Understanding Python through surprising snippets..
* :tv: [mCoding](https://www.youtube.com/c/mCodingWithJamesMurphy) by James Murphy.
* 📖 [Python Design Patterns](https://python-patterns.guide/) by Brandon Rhodes.
* :scroll: [Lesser known parts of Python standard library](https://www.trickster.dev/post/lesser-known-parts-of-python-standard-library/) by "Trickster Dev".
If you want to contribute to our projects, please check our [Python Coding Guidelines](/GuidePython).
## Learning C++
Learning C++ can be tricky and few good courses exist:
* :tv: 🇷🇺 [MIPT Course in Basic C++](https://youtube.com/playlist?list=PL3BR09unfgciJ1_K_E914nohpiOiHnpsK)
After covering the basics, use [CppReference.com](https://en.cppreference.com/w/) as a reference for the C++ standard library.
It's generally more [reliable than CPlusPlus.com](https://www.reddit.com/r/cpp/comments/1b0lp7u/comment/ks8vgy7/?utm_source=share&utm_medium=web2x&context=3).
Other useful manuals for low-level engineering include:
* [Arm intrinsics](https://developer.arm.com/architectures/instruction-sets/intrinsics/)
* [Intel intrinsics](https://www.intel.com/content/www/us/en/docs/intrinsics-guide/index.html) for x86 CPUs
* [CUDA intrinsics](https://docs.nvidia.com/cuda/cuda-math-api/modules.html#modules) for Nvidia GPUs
* [Clang built-ins](https://clang.llvm.org/docs/LanguageExtensions.html#builtin-functions)
* [GCC built-ins](https://gcc.gnu.org/onlinedocs/gcc-4.7.2/gcc/Other-Builtins.html#Other-Builtins)
* [C++ Header Sizes](https://artificial-mind.net/projects/compile-health/)
If you want to contribute to our projects, please check our [C++ Coding Guidelines](/GuideCpp).
## Engineering
* 📜 [Algorithms for Competitive Programming](https://cp-algorithms.com/#data-structures) blog
* :octocat: [C++ Benchmarking Tutorial](https://github.com/ashvardanian/BenchmarkingTutorial) for Google toolchain: `std::rand`, `std::execution`
* :octocat: [Experimental Concurrency](https://github.com/s9w/experimental_concurrency) benchmarks for C++ STL concurrent primitives: `std::thread`, `std::atomic`, `std::mutex`
* :octocat: [Parallel Reductions](https://github.com/unum-cloud/ParallelReductions): CUDA, Intel TBB, SIMD, x86 AVX2, ARM Neon
* :octocat: [Foreign Function Interface Overheads](https://github.com/dyu/ffi-overhead)
* 📜 [LWN](https://lwn.net): latest news from the kernel space
* 📜 [Linux Insides](https://github.com/0xAX/linux-insides) book
* :octocat: [UCSB Benchmark](https://github.com/unum-cloud/UCSB) for persistent storage: io_uring, eBPF, RocksDB, LevelDB, WiredTiger.
## Data Science
* 📜 [Parallelism strategies for training large Neural Networks](https://openai.com/blog/techniques-for-training-large-neural-networks/) blog by OpenAI
* 📜 [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
## DevOps
* 📜 [Common Applications of k8s](https://blog.adamchalmers.com/kubernetes-problems/)