{"id":32600072,"url":"https://github.com/mukeshmithrakumar/missing-semester","last_synced_at":"2026-04-17T13:32:02.923Z","repository":{"id":314819508,"uuid":"1055872700","full_name":"mukeshmithrakumar/missing-semester","owner":"mukeshmithrakumar","description":"The Missing Semester of My CS Education","archived":false,"fork":false,"pushed_at":"2026-04-08T03:08:05.000Z","size":53075,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-04-08T04:24:16.515Z","etag":null,"topics":["beam","distributed-systems","microservice","redpanda","rust","streaming"],"latest_commit_sha":null,"homepage":"","language":"Rust","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mukeshmithrakumar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-13T00:28:58.000Z","updated_at":"2026-04-08T03:08:11.000Z","dependencies_parsed_at":"2025-09-15T02:33:03.677Z","dependency_job_id":"b3c8e19e-0fd9-4e14-b342-ca43341cfedc","html_url":"https://github.com/mukeshmithrakumar/missing-semester","commit_stats":null,"previous_names":["mukeshmithrakumar/missing-semester"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mukeshmithrakumar/missing-semester","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukeshmithrakumar%2Fmissing-semester","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukeshmithrakumar%2Fmissing-semester/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukeshmithrakumar%2Fmissing-semester/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukeshmithrakumar%2Fmissing-semester/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mukeshmithrakumar","download_url":"https://codeload.github.com/mukeshmithrakumar/missing-semester/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mukeshmithrakumar%2Fmissing-semester/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31931288,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-17T12:37:54.787Z","status":"ssl_error","status_checked_at":"2026-04-17T12:37:25.095Z","response_time":62,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["beam","distributed-systems","microservice","redpanda","rust","streaming"],"created_at":"2025-10-30T06:58:54.628Z","updated_at":"2026-04-17T13:32:02.915Z","avatar_url":"https://github.com/mukeshmithrakumar.png","language":"Rust","funding_links":[],"categories":[],"sub_categories":[],"readme":"# The Missing Semester of My CS Education\n\n\n## General Collection \n\nFollowing is a list of general interesting collections, I may or may not be working on any of these. Specific folders means active or planned work.\n\n\n**Finance**\n* [Financial Data Engineering](https://learning.oreilly.com/library/view/financial-data-engineering/9781098159986/)\n* [Analyzing Time Series and Sequential Data Specialization](https://www.coursera.org/specializations/time-series-sequential-data)\n* [Trading Strategies in Emerging Markets Specialization](https://www.coursera.org/specializations/trading-strategy)\n* [Machine Learning and Reinforcement Learning in Finance Specialization](https://www.coursera.org/specializations/machine-learning-reinforcement-finance)\n\n**Data Engineering**\n* [Data Engineer Learning Path in GCP](https://www.cloudskillsboost.google/paths/16)\n* [Redpanda University](https://www.redpanda.com/university)\n* [feast](https://docs.feast.dev/)\n* [RAPIDS: GPU Accelerated Data Science](https://rapids.ai/)\n* [Accelerate Data Science Workflows with Zero Code Changes](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+T-DS-03+V1)\n* [Accelerating End-to-End Data Science Workflows](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-DS-01+V2)\n* [Analyzing and Visualizing Large Data Interactively using Accelerated Computing](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-DS-05+V1)\n* [Best Practices in Feature Engineering for Tabular Data With GPU Acceleration](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-DS-06+V1)\n* [Synthetic Tabular Data Generation Using Transformers](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-09+V1)\n* [Designing Data-Intensive Applications](https://learning.oreilly.com/library/view/designing-data-intensive-applications/9781491903063/)\n* [Data Engineering Design Patterns](https://learning.oreilly.com/library/view/data-engineering-design/9781098165826/)\n* [Designing Event-Driven Systems](https://learning.oreilly.com/library/view/designing-event-driven-systems/9781492038252/)\n* [Software Architecture Patterns for Big Data](https://www.coursera.org/learn/software-architecture-patterns-for-big-data)\n* [Streaming Systems](https://learning.oreilly.com/library/view/streaming-systems/9781491983867/)\n* [Streaming Databases](https://learning.oreilly.com/library/view/streaming-databases/9781098154820/)\n\n**GCP/Platform**\n* [Getting Started with Terraform for Google Cloud](https://www.coursera.org/learn/getting-started-with-terraform-for-google-cloud)\n* [Infrastructure as Code with Terraform](https://www.linkedin.com/learning/paths/infrastructure-as-code-with-terraform?u=36492188)\n\n**General**\n* [Designing Distributed Systems, 2nd Edition](https://learning.oreilly.com/library/view/designing-distributed-systems/9781098156343/)\n* [Software Architecture Patterns for Big Data](https://www.coursera.org/learn/software-architecture-patterns-for-big-data)\n* [UvA Deep Learning Tutorials](https://uvadlc-notebooks.readthedocs.io/en/latest/index.html)\n* [Computer Architecture](https://www.coursera.org/learn/comparch)\n* [Introduction to Operating Systems Specialization](https://www.coursera.org/specializations/codio-introduction-operating-systems)\n* [High-Performance and Parallel Computing Specialization](https://www.coursera.org/specializations/high-performance-parallel-computing)\n* [CS149 Parallel Computing](https://gfxcourses.stanford.edu/cs149/fall23), [video](https://youtube.com/playlist?list=PLoROMvodv4rMp7MTFr4hQsDEcX7Bx6Odp\u0026si=UADWlntDE7hdraju)\n* [I/O-efficient algorithms](https://www.coursera.org/learn/io-efficient-algorithms)\n* [Data Structures and Performance](https://www.coursera.org/learn/data-structures-optimizing-performance)\n\n\n**GCP**\n* [Data Engineering, Big Data, and Machine Learning on GCP Specialization](https://www.coursera.org/specializations/gcp-data-machine-learning)\n\n\n**LLM Related**\n* [Natural Language Processing for Semantic Search](https://www.pinecone.io/learn/series/nlp/)\n* [Faiss: The Missing Manual](https://www.pinecone.io/learn/series/faiss/)\n* [LLM Embeddings Explained: A Visual and Intuitive Guide](https://huggingface.co/spaces/hesamation/primer-llm-embedding)\n* [The Ultra-Scale Playbook: Training LLMs on GPU Clusters](https://huggingface.co/spaces/nanotron/ultrascale-playbook)\n* [DevOps-Projects](https://github.com/NotHarshhaa/DevOps-Projects)\n* [LLM Course](https://github.com/mlabonne/llm-course)\n\n\n**Generals**\n* [School of SRE](https://linkedin.github.io/school-of-sre/)\n* [Microservices Patterns](https://learning.oreilly.com/library/view/microservices-patterns/9781617294549/)\n* [gRPC Microservices in Go](https://learning.oreilly.com/library/view/grpc-microservices-in/9781633439207/)\n* [Software Engineering at Google](https://abseil.io/resources/swe-book)\n* [System Design: The complete course](https://kps.hashnode.dev/system-design-the-complete-course)\n* [The Missing Semester of Your CS Education](https://missing.csail.mit.edu/)\n* [Designing Distributed Systems](https://learning.oreilly.com/library/view/designing-distributed-systems/9781491983638/)\n\n\n**Algorithms**\n* [Advanced Algorithms and Data Structures](https://learning.oreilly.com/library/view/advanced-algorithms-and/9781617295485/)\n\n\n**Rust**\n* [Rust Programming](https://www.risein.com/courses/rust-programming)\n* [Programming with Rust Specialization](https://www.coursera.org/specializations/programming-with-rust)\n\n\n**JAX**\n* [Jaxformer: Scaling Modern Transformers](https://jaxformer.com/)\n\n\n**ML Hardware \u0026 Systems**\n* [Stanford MLSys Seminar](https://mlsys.stanford.edu/)\n* [Machine Learning Systems](https://ucbrise.github.io/cs294-ai-sys-sp22/)\n\n\n**ML Compilers**\n* [Compilers for Machine Learning](https://www.c4ml.org/c4ml2019)\n* [Machine Learning Compiler](https://mlc.ai/)\n* [MLIR and MLIR Components Talks](https://mlir.llvm.org/talks/)\n* [Machine Scheduler in LLVM - Part II](https://myhsu.xyz/llvm-machine-scheduler-2/)\n\n\n**NVIDIA Triton**\n* [NVIDIA Dynamo Platform](https://developer.nvidia.com/dynamo)\n\n\n**CUDA**\n* [CUDA Mastery](https://tailoredread.com/book/cuda-mastery-advanced-techniques-high-performance-gpu-621c9c8e8c6d)\n* [NVIDIA Self-Paced Courses](https://www.nvidia.com/en-us/training/self-paced-courses/)\n* [GPU Programming Specialization](https://www.coursera.org/specializations/gpu-programming)\n* [Parallel and High Performance Computing](https://learning.oreilly.com/library/view/parallel-and-high/9781617296468/)\n\n\n**Hacking**:\n* [Root Me Website](https://www.root-me.org/?lang=en)\n\n\n**Linux**\n* [pwn.dojos](https://pwn.college/dojos)\n* [Introduction to Linux – Full Course for Beginners](https://youtu.be/sWbUDq4S6Y8?si=NC2qXNMRxT9wYc_k)\n* [Linux Networking: How The Kernel Handles A TCP Connection](https://youtu.be/ck4WvYM9V4c?si=g9TnqKJpL_s3Aazb)\n* [Rearchitecting Linux Storage Stack for µs Latency and High Throughput](https://www.usenix.org/conference/osdi21/presentation/hwang)\n* [glibc Heap Series](https://youtube.com/playlist?list=PLZQ4UbPWTlon-F9l6KAlAjxeZsqNmxM5K\u0026si=YvYeOg3lyX5F_Fd6)\n* [What Makes System Calls Expensive: A Linux Internals Deep Dive](https://blog.codingconfessions.com/p/what-makes-system-calls-expensive)\n\n\n**Containers**:\n* [Fork in the Road: Reflections and Optimizations for Cold Start Latency in Production Serverless Systems](https://www.usenix.org/conference/osdi25/presentation/chai-xiaohu)\n* [Fast, lazy container loading in modal.com by Jonathon Belotti](https://youtu.be/SlkEW4C2kd4?si=KkbJDxvku2Vv-yxr)\n* [How Modal built their own container runtime, file system, GPU resource solver, and more](https://youtu.be/pLBxrY8RX6w?si=827jACa2wVWnRoKm)\n\n\n**Compiler**\n* [A Gentle Introduction to LLVM IR](https://mcyoung.xyz/2023/08/01/llvm-ir/)\n* [Triton Conference 2024: Morning Session](https://youtu.be/NZz5sczZ_30?si=izn4UUmNmSlghvt6)\n* [Flash Attention derived and coded from first principles with Triton (Python)](https://youtu.be/zy8ChVd_oTM?si=eHjBiBMOcqSUHGr_)\n* \n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmukeshmithrakumar%2Fmissing-semester","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmukeshmithrakumar%2Fmissing-semester","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmukeshmithrakumar%2Fmissing-semester/lists"}