Kanaries · Knowledge Base
An index of every tutorial cluster on this site — data wrangling, visualization, machine learning, and AI tooling.
Start with a specific setup, tooling, or troubleshooting task.
AICoding
Learn how to use OpenCode in 2026: install it, run /init, configure AGENTS.md, add commands, understand Oh My OpenCode vs Oh My OpenAgent, and fix stale tutorial issues.
AICoding
Learn how to use Codex in 2026: install Codex CLI, choose CLI vs App vs IDE extension, write AGENTS.md repository instructions, use skills, and handle large repos safely.
Streamlit
Set up Streamlit in VS Code, run `streamlit run app.py`, fix interpreter and `command not found` issues, and debug common port and breakpoint problems.
Python
The __pycache__ folder stores compiled .pyc bytecode that makes Python imports faster. Learn why it appears, whether it is safe to delete, how to gitignore it, and how to disable it with PYTHONDONTWRITEBYTECODE.
Python
Learn how to run Python scripts in different ways, depending on your environment and skills. This guide covers command-line, IDEs, and file managers for efficient and effective script execution.
Python
Convert a Jupyter Notebook to PDF fast: run jupyter nbconvert --to pdf notebook.ipynb. No LaTeX? Use --to webpdf. Includes VSCode, Colab, browser print, and fixes for the xelatex not found error.
Core Python patterns, APIs, and practical fixes.
Data wrangling, cleaning, and DataFrame workflows.
Array computing, vectorization, and numerical methods.
Distributed processing and Spark DataFrame techniques.
Data analysis and visualization in the R ecosystem.
Cloud data warehouse queries, modeling, and tips.
Fast DataFrame processing with modern Rust-backed APIs.
Local analytics SQL, parquet workflows, and querying.
Spreadsheet analysis, formulas, and productivity tips.
Plotting patterns, styling, and chart debugging.
Data app building and deployment workflows.
Statistical charts and visual best practices.
Interactive charts and dashboard-focused visuals.
BI dashboards, calculations, and presentation patterns.
Grammar-of-graphics workflows and chart composition.
Prompting, troubleshooting, and model usage guidance.
AI content generation workflows and tool comparisons.
AI-assisted development tools and coding workflows.
Machine learning models, pipelines, and metrics.
LLM app orchestration and chain design patterns.