Python programming | crescu

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Lessons

Deep Dive into Python Object Internals

Examine CPython source code to understand PyObject and memory allocation.

Quick winTheoryMilestone

Mastering the Global Interpreter Lock Mechanisms

Analyze GIL impact on multi-core execution and bytecode evaluation.

Profiling Memory with tracemalloc and objgraph

Identify memory leaks and optimize reference counting in complex scripts.

PracticeAdvanced

Architecting Custom Context Managers and Decorators

Develop high-level abstractions for resource management and performance tracking.

PracticeMilestoneMilestone

Advanced Asyncio Core and Event Loops

Build custom event loop policies for high-throughput asynchronous tasks.

Implementing Multiprocessing for CPU-Bound Distributed Tasks

Scale scraper logic across multiple processes using SharedMemory proxies.

PracticeAdvancedMilestone

Optimizing Network I/O with Aiohttp Internals

Configure advanced TCP connectors and connection pooling for performance.

PracticeAdvanced

Building a Distributed Task Queue System

Integrate Redis and Celery for managing large-scale scraping jobs.

ProjectMilestoneMilestone

Designing Core Library API and Structure

Apply SOLID principles to build a maintainable, professional-grade library.

ProjectAdvanced

Automated Testing and CI/CD for Libraries

Implement Pytest-asyncio and GitHub Actions for robust library delivery.

PracticeAdvanced

Writing Technical Documentation with Sphinx

Document memory management and architectural decisions for PyPI publication.

Final Deployment and PyPI Package Release

Build, sign, and publish your high-performance asynchronous climbing library.

ProjectMilestoneMilestone

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