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🧪 Paul's Vector Lab

Technical Knowledge Base for Engineers, Architects, and Builders

Welcome to Vector Lab — a curated, high‑signal documentation hub for modern technical disciplines.
From low‑level embedded systems to distributed system design, from blockchain to observability:
this is your launchpad for deep dives, practical patterns, and battle‑tested references.

📚 Explore the Library

  • 🤖 AI-ML

    LLMs, model training, MLOps, computer vision, and production inference.

  • 📱 App Development

    Mobile, desktop, cross‑platform (Flutter, React Native, Tauri), and native toolchains.

  • 🎨 Application Design

    UX/UI principles, design systems, architecture patterns (MVP, MVVM, Clean).

  • ⛓️ BlockChain

    Distributed ledgers, smart contracts (Solidity, Rust), Web3, and consensus protocols.

  • 📊 Dashboarding

    Data visualization, BI tools (Tableau, Power BI, Superset), real‑time dashboards (Grafana).

  • 🧩 Data-Engineering

    ETL/ELT pipelines, data warehousing, lakehouse architectures (Delta, Iceberg), Spark.

  • 🧠 Data-Science

    Modèles de fondation tabulaires (TabFM, Mitra-v2, TabPFN), panorama des modèles supervisés et non supervisés, cas d'usage solaire au Sénégal — éditions FR et EN.

  • ⚙️ DevOps-Infrastructure

    CI/CD (GitHub Actions, GitLab CI), IaC (Terraform, Pulumi), Kubernetes, service mesh.

  • 🔌 Electronic

    PCB design, analog/digital circuits, simulation (SPICE), hardware testing.

  • 🖥️ Embedded-Systems

    Firmware development, RTOS, microcontrollers (ARM, RISC‑V), BSPs, bootloaders.

  • 🧶 Misc

    Technical odds and ends – tools, workflows, hacks, and unconventional solutions.

  • 🌐 Networking

    Protocols (TCP/IP, QUIC), routing, SDN, eBPF, network security & performance.

  • 🔭 Observability

    OpenTelemetry instrumentation and pipelines, metrics (Prometheus), tracing (Tempo/Jaeger), dashboards (Grafana).

  • 🐧 Operating System

    Linux internals, Windows kernel, schedulers, memory management, filesystems.

  • 🦀 Programming-Languages

    Deep dives into Python, Rust, Go, Zig, Java, C++ – idioms, memory models, tooling.

  • 🔐 Security

    A 48-lesson Zero-to-Hero cybersecurity course — networks, attacks, defence in depth, the open-source toolkit, labs, and securing a home or small business.

  • 🏛️ System-Design

    Scalability, distributed systems (CAP, Paxos/Raft), microservices, databases, caching.

🧭 How to Use This Knowledge Base

Each topic folder contains:

  • Concepts & fundamentals – short, teachable explanations.
  • Patterns & best practices – tested solutions for real‑world problems.
  • Tool‑specific guides – hands‑on references for popular technologies.
  • Checklists & cheat sheets – quick lookups for busy engineers.

Pro tip: Use the search bar (top right) to instantly find anything – from “zero‑copy networking” to “Kubernetes pod anti‑affinity”.

🚀 Contribute & Evolve

This is a living lab. Found a missing piece or a better way?
Open a pull request or raise an issue. Knowledge shared is knowledge squared.

🚀 Start Browsing →