Isbn: 9798259371545 - how to learn python for javascript developers: syntax translation, paradigm shifts, and library ecosystems (5 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. What if your JavaScript fluency is actually the fastest route to writing production-grade Python?You have shipped Node.js services, debugged V8 memory leaks, and reasoned through closure chains under production load. You do not need another explanation of variables, loops, or conditionals. You need a translation framework that treats your existing expertise as leverage, not a blank slate to fill from zero.This book maps your JavaScript mental models directly to Python's territory, focusing exclusively on friction points where familiar syntax hides unfamiliar semantics. Learn why Python's class-centric object model demands fundamentally different architectural thinking than prototypal inheritance. Understand how asyncio coroutines rewrite asynchronous patterns your event-loop instincts expect. Navigate import paths, virtual environments, and packaging without letting npm muscle memory lead you into dependency confusion.- The mutability trap: why Python's lists and dictionaries share references in ways that would never pass code review in strict mode-and how to spot the memory leak before it hits production- Async without the event loop: how asyncio coroutines differ from Promise chains, and why your Node.js concurrency intuition needs recalibration for Python's cooperative multitasking- Object models at war: why class-based inheritance in Python behaves nothing like prototypal delegation, and what that means for your architecture patterns and testing strategy- From npm to pip: navigating virtual environments, import paths, and packaging complexity when your muscle memory expects flat node_modules resolution- Ecosystem translations: mapping Express patterns to FastAPI, Jest workflows to pytest, and JavaScript data manipulation to Pandas and Polars at serious scale- Production beyond the script: type enforcement with mypy, multiprocessing outside the single-threaded event loop, and deployment strategies that respect the GILThe goal is not basic proficiency. It is the ability to evaluate when Python's paradigms outperform JavaScript's-and when to resist the temptation to write server-side JavaScript disguised in .py files.Your JavaScript expertise is the foundation. Build on it today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. What if your JavaScript fluency is actually the fastest route to writing production-grade Python?You have shipped Node.js services, debugged V8 memory leaks, and reasoned through closure chains under production load. You do not need another explanation of variables, loops, or conditionals. You need a translation framework that treats your existing expertise as leverage, not a blank slate to fill from zero.This book maps your JavaScript mental models directly to Python's territory, focusing exclusively on friction points where familiar syntax hides unfamiliar semantics. Learn why Python's class-centric object model demands fundamentally different architectural thinking than prototypal inheritance. Understand how asyncio coroutines rewrite asynchronous patterns your event-loop instincts expect. Navigate import paths, virtual environments, and packaging without letting npm muscle memory lead you into dependency confusion.- The mutability trap: why Python's lists and dictionaries share references in ways that would never pass code review in strict mode-and how to spot the memory leak before it hits production- Async without the event loop: how asyncio coroutines differ from Promise chains, and why your Node.js concurrency intuition needs recalibration for Python's cooperative multitasking- Object models at war: why class-based inheritance in Python behaves nothing like prototypal delegation, and what that means for your architecture patterns and testing strategy- From npm to pip: navigating virtual environments, import paths, and packaging complexity when your muscle memory expects flat node_modules resolution- Ecosystem translations: mapping Express patterns to FastAPI, Jest workflows to pytest, and JavaScript data manipulation to Pandas and Polars at serious scale- Production beyond the script: type enforcement with mypy, multiprocessing outside the single-threaded event loop, and deployment strategies that respect the GILThe goal is not basic proficiency. It is the ability to evaluate when Python's paradigms outperform JavaScript's-and when to resist the temptation to write server-side JavaScript disguised in .py files.Your JavaScript expertise is the foundation. Build on it today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…