🚀 Phase 11 • Track 12 — Senior Capstone Masterclass

Packaging, Distribution & Dependency Resolution

Ensure deterministic production builds. Master Wheel (.whl) vs Source Distributions (sdist), strict application lockfiles vs permissive library ranges, and high-performance Rust tooling (uv).

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← Track 11 Performance 🏠 Senior Hub

🌱 Junior Python ⚡ Middle Python 🚀 Senior Python

🚀 Senior Python Interactive Systems Studio

Senior Systems Studio: Packaging, Distribution & Dependency Resolution

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Select any senior topic below to analyze Wheel binary tag specifications vs sdist source distributions, enforce strict application lockfile reproducibility vs permissive library ranges, and run modern uv dependency resolution workflows.

1️⃣ Track 01: Data Flow

Generators, Bytecode & Primitives

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2️⃣ Track 02: Metaprogramming

Descriptors, __new__, MRO super()

🛠️

3️⃣ Track 03: Context & Robustness

Context Managers, contextvars, Decimal

🛡️

4️⃣ Track 04: Craftsmanship

EAFP vs LBYL, Duck Typing, Guards

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5️⃣ Track 05: Type Hints

Protocol, TypedDict & assert_never

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6️⃣ Track 06: Testing

Rollbacks, Fakes & Hypothesis

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7️⃣ Track 07: Architecture

Aggregates, UoW & CQRS

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8️⃣ Track 08: DB & Concurrency

B-Tree, Locks & ORM Loading

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9️⃣ Track 09: Backend & API

Idempotency, Backoff & Cursor

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🔟 Track 10: Async & GIL

TaskGroup, GIL & to_thread

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1️⃣1️⃣ Track 11: Performance

Profilers, __slots__ & RAM

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1️⃣2️⃣ Track 12: Packaging

Wheels, Lockfiles & uv

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1️⃣3️⃣ Track 13: Quality

Ruff, Pre-Commit & CI

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1️⃣4️⃣ Track 14: Production

Linux, Docker & Logs

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1️⃣5️⃣ Track 15: Distributed

Outbox, Brokers & Sagas

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1️⃣6️⃣ Track 16: Security

SSRF, Crypto & Defense

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1️⃣7️⃣ Track 17: Patterns

Pythonic GoF Idioms

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1️⃣8️⃣ Track 18: Code Taste

Open-Source Forensics

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1️⃣9️⃣ Track 19: Packages

Production Directory

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2️⃣0️⃣ Track 20: Python vs World

Global Benchmarks & %

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📌 Select Senior Competency (4 Core Topics): Showing 5 Topics for Track 01

⚡ Topic 1 of 4 ⏱️ 5 min interactive

Phase 1 • Track 01

1. Data Pipelines & Sub-Generator Streaming (`yield` / `yield from`)

Decouple data production from consumption. Generators stream infinite series, paginate database records, and process multi-gigabyte logs without unbounded RAM allocation.

💡 Senior Engineering Architecture Principles

Lazy Evaluation: Computes items on-demand, holding O(1) memory state regardless of payload length.
Sub-generator Delegation: `yield from` establishes a bidirectional channel forwarding iterators and exception signals.
Memory Safety: Prevents system crash and OutOfMemoryError (OOM) during heavy log or DB ingestion.

senior_wheel_parser.py

Ready (Python 3.13 Active)

🖥️ Senior Sandbox Execution Output & Diagnostics stdout

=== EXECUTION RESULT ===

--- Streaming Node: node-us-east ---
Log Entry: 2026-10-07 [INFO] Server booted
Log Entry: 2026-10-07 [WARN] Memory spike
--- Streaming Node: node-eu-west ---
Log Entry: 2026-10-07 [INFO] DB connected
Log Entry: 2026-10-07 [ERROR] Timeout 500ms
✅ Test Passed: Generator yielded 4 log entries lazily with zero heap buffering overhead!

⚡ 30-Second Packaging & Distribution Summary

Wheels, Lockfiles & Modern Tooling

Wheel vs sdist: Wheels (.whl) are pre-compiled binary archives unpacked directly into site-packages without requiring local C/Rust compilers, unlike source distributions (sdist).
Applications vs Libraries: Libraries specify permissive dependency ranges in pyproject.toml and never commit lockfiles. Applications MUST commit deterministic lockfiles (uv.lock) with SHA-256 cryptographic hashes.
Modern Tooling (uv): Use Rust-powered uv for PubGrub dependency resolution, instant virtualenv creation, and reproducible deployments.

1. Binary Wheels (`.whl`) vs Source Distributions (`sdist`)

Understand the physical packaging artifacts published to PyPI:

# Standard Wheel Naming Specification:
# {distribution}-{version}-{python_tag}-{abi_tag}-{platform_tag}.whl
cryptography-42.0.5-cp311-cp311-manylinux_2_28_x86_64.whl

# sdist (Source Archive): Requires gcc/clang compiler on target machine!
cryptography-42.0.5.tar.gz

2. Applications vs Libraries Dependency Locking

Enforce reproducible application deployments via deterministic cryptographic lockfiles:

# Application deterministic lockfile entry (uv.lock / poetry.lock):
[[package]]
name = "pydantic"
version = "2.6.4"
hashes = [
    { sha256 = "6d41ff1758c08a9f626a575a6c38ee21074e0d4cf96ffb47ec46e2a2223707cf" }
]