Week 13: Databases & Data Engineering
SQLite, SQLAlchemy ORM, ETL pipelines, Dask for large data
📌 Strategy & Study Guidance
Use Jupyter for experimentation. Transition to .py for production code.
Blocks
Block 121
Monday
SQLite Basics with Python
Block 122 MondayCRUD Operations with SQLite
Block 123 Tuesdaypandas ↔ SQLite Integration
Block 124 TuesdaySQLAlchemy ORM Basics
Block 125 WednesdayBuilding an ETL Pipeline
Block 126 WednesdayDask DataFrames for Large Data
Block 127 ThursdayDatabase Design Basics
Block 128 ThursdaySQL Aggregations & Window Functions
Block 129 FridayScheduling & Automation Concepts
Block 130 FridayMini-Project: Mini Analytics Database
📺 20 Curated YouTube Videos
▶ SQLite Python
Corey Schafer
▶ SQL Python Tutorial
Corey Schafer
▶ Database Python
Corey Schafer
▶ Data Engineering
freeCodeCamp
▶ SQL Queries
Corey Schafer
▶ ETL Pipelines
freeCodeCamp
▶ Creating Database
Corey Schafer
▶ Data Pipelines
freeCodeCamp
▶ Running Queries
Corey Schafer
▶ Pandas Data Loading
Keith Galli
▶ SQLAlchemy
Corey Schafer
▶ Data Science
freeCodeCamp
▶ Database Table
Corey Schafer
▶ Pandas Data
Coding News
▶ SQL Complete
Corey Schafer
▶ Data Analysis
freeCodeCamp
▶ Data Engineering Python
Corey Schafer
▶ ETL Pandas
Keith Galli
▶ ORM Basics
Corey Schafer
▶ Large Data
freeCodeCamp
📋 Cheat Sheets
Quick Reference
Core syntax and common patterns for this week. Week 13 - SQLite, SQLAlchemy ORM, ETL pipelines, Dask for large data
API Cheat Sheet
Key functions and methods. Week 13 - SQLite, SQLAlchemy ORM, ETL pipelines, Dask for large data
Best Practices
Style and performance tips. Week 13 - SQLite, SQLAlchemy ORM, ETL pipelines, Dask for large data
💻 Code Snippets
Basic Example
# Week 13: Databases & Data Engineering
# Basic pattern for this topic
result = process(data)
Common Pattern
# Week 13: Databases & Data Engineering
# Frequently used pattern
Quick Start
# Week 13: Databases & Data Engineering
# Minimal working example
📊 Visualizations & Diagrams
Concept Diagram
flowchart LR A[Input] --> B[Process] B --> C[Output]
Paste into mermaid.live to render
Workflow
Step 1 -> Step 2 -> Step 3