Course Outline
Day 1 — Advanced Python Standards and Technical Instrumentation
Contemporary Python Syntax and Static Typing
- Foundational typing constructs, generic mechanisms, structural typing protocols, and type-guard utilities
- Implementation of dataclasses, immutable data structures, and comparative analysis of the attrs framework
- Utilization of structural pattern matching (PEP 634 standards) and established idiomatic conventions
Code Integrity and Automation Tooling
- Standardization of code formatting and linting using black, isort, flake8, and ruff for consistent output
- Integration of static type analysis engines including MyPy and pyright to enforce structural integrity
- Implementation of pre-commit validation hooks and standardized developer lifecycle workflows
Project Governance and Distribution Management
- Management of third-party dependencies via Poetry and the utilization of isolated virtual environments
- Adherence to package structure standards, entry point definitions, and semantic versioning protocols
- Compilation and distribution of software packages to public PyPI and restricted internal registries
Day 2 — Architectural Design and Structural Patterns
Application of Design Patterns in Python
- Creational methodologies: Factory, Builder, and Singleton implementations adapted for Python idioms
- Structural adaptations: Adapter, Facade, Decorator, and Proxy patterns for interface management
- Behavioral control mechanisms: Strategy, Observer, and Command patterns for state management
Core Architectural Principles
- Application of SOLID design principles to enhance codebase maintainability and cohesion
- Implementation of Hexagonal and Clean Architecture models with clearly defined system boundaries
- Utilization of dependency injection frameworks and centralized configuration management strategies
Component Modularity and Reusability
- Distinction and design considerations between library components and application-level code
- Definition of stable public APIs and enforcement of semantic versioning policies
- Secure handling of configuration data, sensitive credentials, and environment-specific parameters
Day 3 — Concurrent Execution, Asynchronous I/O, and Performance Optimization
Concurrency and Parallel Processing
- Foundational threading concepts and analysis of Global Interpreter Lock (GIL) constraints
- Utilization of multiprocessing and process pools for CPU-intensive computational tasks
- Strategic selection between concurrent.futures and multiprocessing based on workload characteristics
Asynchronous Programming via asyncio
- Mastery of async/await syntax, event loop management, and task cancellation protocols
- Design of asynchronous libraries and strategies for interoperability with synchronous code
- Implementation of I/O-bound processing patterns, backpressure mechanisms, and rate limiting controls
Performance Profiling and Optimization
- Utilization of profiling utilities including cProfile, pyinstrument, perf, and memory_profiler
- Optimization of high-frequency code paths and integration of C-extensions or Numba where necessary
- Quantitative assessment of latency, throughput, and system resource utilization
Day 4 — Verification, Automation, Observability, and Deployment
Testing Methodologies and Automation
- Execution of unit tests and fixture management using pytest, with structured test organization
- Implementation of property-based testing via Hypothesis and contract-based verification
- Application of mocking, monkeypatching, and verification techniques for asynchronous code
CI/CD Pipelines, Release Management, and Monitoring
- Integration of test suites and quality gates into GitHub Actions or GitLab CI pipelines
- Construction of reproducible container images using Docker and multi-stage build configurations
- Implementation of application observability through structured logging, Prometheus metrics, and distributed tracing
Security Posture, Hardening, and Compliance
- Conduct of dependency audits, generation of SBOMs, and execution of vulnerability scans
- Enforcement of secure coding standards for input validation and credential management
- Application of runtime hardening measures including resource limits, privilege reduction, and container security
Capstone Application and Evaluation
- Collaborative exercise: Design and implementation of a modular service utilizing course patterns
- Integration of testing, type-checking, packaging, and CI pipelines for the capstone project
- Comprehensive review, code critique, and formulation of a remediation plan
Conclusions and Future Development
Requirements
- Proficient intermediate-level Python programming proficiency
- Understanding of object-oriented programming paradigms and fundamental testing principles
- Experience utilizing command-line interfaces and Git version control
Target Audience
- Senior Python developers
- Software engineers accountable for Python code quality and architectural integrity
- Technical leads and MLOps/DevOps engineers maintaining Python codebases for government operations
Testimonials (2)
everything was perfect
Florin Vrincianu
Course - Python Programming Fundamentals
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
