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Python cheat sheet & developer notes

Python cheat sheet and 4 curated developer notes — core concepts, patterns, and interview prep. Maintained by the DevRecall team.

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01 · Python

Core Language

Python Core Language. Python is a high-level, interpreted language valued for its readability, versatility, and rich standard library. It powers web development, data science, scripting, automation, and machine learning.…

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02 · Python

OOP & Advanced Python

OOP & Advanced Python. Python supports object-oriented programming with classes, special methods, and inheritance. Advanced features — decorators, generators, context managers, and dataclasses — enable elegant and reusab…

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03 · Python

Interview Questions

Python Interview Questions. Covering language fundamentals, memory model, OOP, async, and best practices.. 1. Explain the GIL. What are its implications?. The Global Interpreter Lock (CPython) prevents multiple native th…

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04 · Python

Async Programming & Ecosystem

Async Programming & Python Ecosystem. Python's asyncio enables high-concurrency I/O without threads. Combined with its rich ecosystem — aiohttp, SQLAlchemy, Celery, and more — Python excels at building scalable web servi…

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Concepts to know for Python

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Garbage Collection and Memory LeaksHow a garbage collector decides what is alive by tracing from roots, why generations and pauses matter for latency, and how JavaScript apps still leak memory.Intermediate·13 minPrompt Injection: Why LLM Apps Obey the Wrong TextWhy text an LLM reads can override your instructions, how indirect injection turns tools into exfiltration paths, and which defences actually contain it.Intermediate·14 minLLM Tool Calling and Agent LoopsThe model never runs your code: it asks for a tool call, your app validates and executes it, and a loop with budgets turns that into an agent you can trust.Intermediate·14 minRAG: Retrieval-Augmented GenerationHow RAG fetches permitted, fresh text and puts it in the prompt so an LLM answers with citations, and why chunking and retrieval decide the quality.Intermediate·14 minContext Windows and Token Budgets for LLMsWhat a token is, why the context window is the only memory an LLM has, and how to budget, trim and cache prompts so long conversations stay fast and cheap.Intermediate·13 minEmbeddings and Vector SearchHow text becomes a vector whose distance tracks meaning, why exact search does not scale, and how HNSW and IVF indexes trade recall for speed and memory.Intermediate·14 min

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