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Feature Unlock Chart

What Python features are introduced at each level. Use this to see what is expected of you and what tools you have available.

By Level

Level 00 -- Absolute Beginner (no imports, no tests)

Feature First Project
print() 01 First Steps
input() 03 User Input
Variables, = 04 Variables
Integers, +, -, *, /, //, % 05 Numbers and Math
Strings, f-strings 06 Strings and Text
if / elif / else 08 Making Decisions
Lists, indexing, .append() 09 Lists
for loops, range() 10 For Loops
while loops 11 While Loops
Dictionaries, key-value pairs 12 Dictionaries
def, return 13 Functions
open(), .read(), .strip() 14 Reading Files

Level 0 -- Beginner (pytest and ruff start here)

Feature First Project
Functions with parameters and return values 02 Calculator Basics
if/elif/else branching 04 Yes No Questionnaire
for / while with logic 05 Number Classifier
File reading and writing (open, with) 07 First File Reader
String methods (.split(), .strip(), .lower()) 08 String Cleaner Starter
Lists and iteration patterns 09 Daily Checklist Writer
Dictionaries for lookup/counting 10 Duplicate Line Finder
pytest (test discovery, assertions) All projects
ruff (linting) All projects

Level 1 -- String Methods, CSV, JSON, pathlib

Feature First Project
Input validation patterns 01 Input Validator Lab
String method chaining 02 Password Strength Checker
csv module 05 CSV First Reader
json module 09 JSON Settings Loader
pathlib.Path 08 Path Exists Checker
argparse 11 Command Dispatcher
datetime 07 Date Difference Helper
Multi-file projects 15 Level1 Mini Toolkit

Level 2 -- Nested Data, Comprehensions, Error Handling

Feature First Project
Nested dicts and lists 01 Dictionary Lookup Service
Data flattening 02 Nested Data Flattener
try / except / finally 04 Error Safe Divider
Dict and list comprehensions 05 Comprehension Drills
Sets and set operations 06 Set Intersection Report
Multiple exception types 11 Retry Loop Practice
collections.Counter 12 Multi File Stats Aggregator
Project structure (src/, tests/) 15 Level2 Mini Capstone

Level 3 -- Packages, Logging, Refactoring

Feature First Project
pip install, third-party packages 01 First Package Install
logging module 02 Logger Config Lab
pytest parametrize, fixtures 03 Parameterized Test Writer
Code refactoring patterns 04 Function Extraction Exercise
__name__ == "__main__" pattern 05 Module Runner Pattern
Configuration files (INI, YAML) 09 Config Merge Tool
Package boundaries 10 Dependency Boundary Lab

Level 4 -- Data Validation, File Operations

Feature First Project
Schema validation 01 Schema Validator Intro
Data cleaning pipelines 02 Field Normalizer
File backup and rotation 04 Backup Rotation Manager
Regex basics (re module) 05 Regex Practice Set
CSV transformation 07 Csv Transform Pipeline
Checksums and hashing 09 Checksum File Verifier
Batch file processing 12 Bulk File Renamer

Level 5 -- Scheduling, Monitoring, ETL

Feature First Project
schedule library 01 Cron Style Scheduler
Environment variables 02 Environment Config Loader
ETL (Extract, Transform, Load) 03 Etl Pipeline Starter
Template rendering (Jinja2) 05 Template Report Builder
Multi-layer configuration 07 Config Layer Stack
Polling patterns 10 API Polling Simulator
Metric collection 11 Metric Aggregation Engine

Level 6 -- SQL, Databases, Transactions

Feature First Project
sqlite3 01 Sqlite Hello World
SQL: SELECT, INSERT, UPDATE, DELETE 02 Crud Operations Lab
Joins and relationships 03 Join Query Builder
Transactions and rollback 05 Transaction Rollback Lab
Database migrations 06 Schema Migration Runner
Idempotent operations 07 Idempotent Upsert Drill
Connection pooling 09 Connection Pool Monitor

Level 7 -- APIs, Caching, Observability

Feature First Project
requests library (advanced) 01 Api Response Validator
Rate limiting 02 Rate Limit Handler
Caching strategies 03 Cache Invalidation Lab
Token-based auth 05 Token Refresh Handler
Webhook patterns 06 Webhook Receiver Stub
Structured logging 07 Structured Log Formatter
Observability metrics 08 Ingestion Observability Kit

Level 8 -- Dashboards, Concurrency, Profiling

Feature First Project
Dashboard data assembly 01 Dashboard Data Assembler
Query caching 02 Query Cache Layer
Pagination 03 Pagination Stress Lab
concurrent.futures 07 Concurrent Refresh Scheduler
Fault injection testing 08 Fault Injection Harness
cProfile, profiling 09 Profile Guided Optimization
Snapshot testing 11 Snapshot Regression Guard

Level 9 -- Architecture, Events, SLOs

Feature First Project
Event-driven architecture 01 Event Bus Prototype
Domain-driven design concepts 02 Domain Model Boundary Lab
SLO (Service Level Objectives) 03 Slo Budget Tracker
Feature flags 04 Feature Flag Gate
Capacity planning 05 Capacity Forecast Model
Dependency graphs 06 Dependency Graph Walker
Change management 08 Change Impact Analyzer

Level 10 -- Enterprise Patterns

Feature First Project
Enterprise architecture 01 Enterprise Python Blueprint
Orchestration patterns 02 Autonomous Run Orchestrator
Policy-as-code 03 Policy As Code Validator
Multi-tenancy 04 Multi Tenant Data Guard
Compliance automation 05 Compliance Evidence Builder
Chaos engineering 06 Resilience Chaos Workbench
Zero-downtime migrations 08 Zero Downtime Migration Lab

Key Standard Library Modules by Level

Level Modules
00 (none -- built-ins only)
0 os, sys
1 csv, json, pathlib, argparse, datetime
2 collections, itertools
3 logging, configparser, unittest
4 re, hashlib, shutil, glob
5 sched, string, textwrap
6 sqlite3
7 http.server, urllib
8 concurrent.futures, cProfile, timeit
9 abc, dataclasses, functools
10 typing, contextlib, importlib

Key Third-Party Packages by Level

Level Packages
0-2 pytest, ruff, black
3 pyyaml, toml
4 pydantic
5 schedule, jinja2, python-dotenv
6 sqlalchemy, alembic
7 requests, httpx, structlog
8 matplotlib, rich
9 click, typer
10 (all of the above combined)

Expansion Modules

Module Key Packages
01 Web Scraping requests, beautifulsoup4
02 CLI Tools click, typer, rich
03 REST APIs requests, httpx
04 FastAPI Web fastapi, uvicorn, pydantic
05 Async Python asyncio, aiohttp
06 Databases & ORM sqlalchemy, alembic
07 Data Analysis pandas, matplotlib
08 Advanced Testing pytest, hypothesis, responses
09 Docker Deployment docker, docker-compose
10 Django Fullstack django, djangorestframework
11 Package Publishing build, twine, setuptools
12 Cloud Deploy gunicorn, psycopg2

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