ESP32-S3 Bench Guide
ESP32-S3 N16R8 bench guide: live pinout, lessons, simulators and the bench log.
Learn the technology, build the system, defend your decisions, and land the offer. Advanced question banks, model answers, and interactive practice for AI/GenAI, data, and FDE interviews.
EducationJavaScript · PLpgSQLGitHub @klnjoyOnlineOwner unconfirmed
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The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
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Read the full README ↗A MkDocs site (Material theme) that gathers all .md files
from two locations and publishes them as one searchable website:
| Section in site | Source folder |
|---|---|
GENAI-AGENTICAI | Set via the GENAI_SOURCE_ROOT environment variable (defaults to ~/GENAI-AGENTICAI) |
Personal-SourceCode | C:\Dev\SoureceCode\Personal |
The source files are not edited. sync_docs.py copies them into docs/ and
builds an auto-generated landing page (docs/index.md) with links to every document.
You write these pages by hand — they live in content/ and are copied verbatim
into docs/ on every sync (never overwritten by the auto-sync):
content/
Technologies/ Snowflake, AWS, Databricks
GenAI-Topics/ Prompt Engineering, RAG, LangChain, LangGraph,
MCP, Bedrock, AgentCore, Graph DB
To add content to an area, just edit or add .md files in the matching folder,
e.g. content/Technologies/snowflake/warehouses.md, then run
python sync_docs.py. New pages appear in the nav automatically. Set a nav icon
on a page with YAML front matter at the top:
---
icon: material/snowflake
---
Course modules are auto-linked into the matching GenAI topic (e.g. MODULE5-RAG shows up as a "Related course module" callout on the RAG page).
sync_docs.py copies the openable files from each extracted module into
docs/Course-Modules/files/<module>/ and links them on the module page:
nbconvert) and
open as rendered pages. A few notebooks with incompatible metadata may fail
to convert — they're still listed, just without a link.Because these files are copied in, the built site/ is large (~470 MB). That's
expected. use_directory_urls: false is set so the file links resolve cleanly.
Packages are already installed. If you ever need to reinstall (note the corporate SSL trusted-host flags):
python -m pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org -r requirements.txt
Build the full static site (fast — heavy module files are copied separately and
incrementally, so mkdocs build only renders the markdown in a few seconds):
python sync_docs.py # prep docs/ from sources + authored content
python -m mkdocs build --clean # render markdown pages (fast; excludes big files)
python finalize_site.py # incrementally copy module PDFs/notebooks into site/
Or as a one-liner:
python sync_docs.py; python -m mkdocs build --clean; python finalize_site.py
For live editing, python -m mkdocs serve (http://127.0.0.1:8000) builds
in-memory instantly — best for iterating on content/CSS.
Why the 3 steps? The course-module files (PDFs, rendered notebooks, diagrams ~470 MB) are excluded from the mkdocs build (
exclude_docsin mkdocs.yml) and copied intosite/byfinalize_site.py, which skips files that are already there. This keeps builds fast and avoids re-copying 470 MB every time. The firstfinalize_site.pyrun copies everything; later runs are near-instant.
Re-run these any time you add or change markdown, then refresh the browser.
Edit the SOURCE_ROOTS list near the top of sync_docs.py:
SOURCE_ROOTS = [
("GENAI-AGENTICAI", Path(r"C:\...\GENAI-AGENTICAI")),
("Personal-SourceCode", Path(r"C:\Dev\SoureceCode\Personal")),
("My-New-Section", Path(r"C:\path\to\folder")), # <- add here
]
docs/ and site/ are regenerated; treat them as build output.docs/.