Piyush doorwar (15 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - The answer stopped being the hard part.A correct solution now takes a model about eight seconds to produce. Google is piloting a coding round where you use Gemini and get scored on how you prompt it and whether you catch what it gets wrong. Amazon's recruiter guidance says generative AI may disqualify you. The policy changes from one round to the next inside the same company.So what is left to evaluate Meera Kulkarni has five and a half years of backend experience, an order management system she has never been asked to explain, and three interview loops running at once. This book follows all three from the first recruiter call to the offer, and uses them to work out what interviewers are measuring now that the answer is free.What is inside- Researching a company so that it changes your answers, not your small talk- Why retrieval practice feels worse than re-reading and works far better- How much you need to know about AI when it is not your job, and what to skip- What is actually scored when you use an assistant with someone watching- Concurrency, failure, indexes and isolation levels, in any language- How to ask an interviewer for what you need without sounding lost- Stories specific enough that a sceptical interviewer could check them Twenty thousand words. No problem catalogue, no study schedules, no scripts. Written for working backend engineers, with the bar marked wherever it moves for someone more senior.…

Taschenbuch. Zustand: Neu. Neuware - Nobody taught you this.Thirteen years of school, and no one explained what an APR is. Or why a bank pays you half a percent on your savings while charging your neighbour 22.9% on the same money. Or why the minimum payment printed on your card statement is a marketing decision rather than a repayment plan.Maya arrives at 24 with a payslip she has never read past the bottom line, $9,300 of debt, and nothing saved. Over seventeen sessions she takes the whole machine apart. What a bank actually is, and how it earns its spread. How interest works in both directions, and why paying the minimum on a $2,400 balance takes 159 months and costs $3,491.90 in interest. Which debt to kill first, and why that choice matters less than everyone claims. How an 84-month car loan leaves you owing more than the car is worth. What inflation quietly removes. Why 93% of professional fund managers lost to a plain index over twenty years. How much house is too much house, and what a 25-year loan really costs once you add it up. And the number that would let her stop needing a salary, with the date attached to it.Every figure is worked out in front of you, line by line, rather than asserted.Nothing here is country-specific. No named retirement accounts, no local tax schemes. Those get renamed by whichever government is in office, and people who learn the scheme instead of the mechanism are helpless the moment it changes. Learn how a loan amortises and you can read any loan document on earth.There are also no lectures about coffee. The people in this book got into trouble through rent, a car, and a credit card, which is where the money actually goes.By 31, Maya has no consumer debt, six months of expenses in cash, $51,986 invested, and a target date. She earns $66,000 a year.For anyone who left school able to name the parts of a cell and unable to read a loan agreement.…

Taschenbuch. Zustand: Neu. Neuware - Data engineering interviews rarely stop at definitions.The interviewer changes a requirement, introduces late data, or asks what happens after a job writes half a batch and fails.Think Like a Data Engineer is written for engineers with roughly one to five years of experience who want to answer those questions with a clear line of reasoning.The book follows one fictional online marketplace as its data platform grows from nightly CSV files into dependable batch and streaming systems. Across 100 technical questions, it covers SQL, Python, data modelling, storage formats, incremental ingestion, orchestration, data quality, distributed processing, streaming, reliability, and system design.Every question explains what to clarify, how to structure the reasoning, which trade-offs matter, and what an acceptable answer might sound like. The book trains you to work from requirements, grain, scale, failure modes, and recovery instead of memorising one perfect response.The material is cloud-agnostic and country-agnostic. Familiar technologies appear as examples, while the engineering ideas remain portable.Use the book chapter by chapter, as a quick reference before an interview, or as a set of mock questions to answer aloud.…

Taschenbuch. Zustand: Neu. Neuware - Most people who start learning to program quit within a month. Not because the material is hard. Because nobody tells them what is going on.Python From the Ground Up stops and explains. You write your first line of code in chapter 2. By chapter 3 you know exactly what happens between pressing Enter and seeing output: how Python compiles your file into bytecode, what that __pycache__ folder is for, and why a syntax error on line 40 stops line 1 from ever running.Across fourteen chapters you build one program. It's called Shelf, it tracks the books you own, and it starts as a single line that prints a title. By the end it's a working application with a menu, saved data, search, sorting and classes. Every concept arrives at the point Shelf needs it, so you meet dictionaries at the moment a list stops being able to help.Inside: - Installing Python, the interactive prompt, and your first saved script- How Python really runs your code: bytecode, the virtual machine, and where the time goes compared with C- Variables, types, conditions, loops- Lists, tuples, dictionaries and sets, and when each one wins- Strings, f-strings, files, JSON- Reading a traceback properly, and handling errors instead of crashing- Searching and sorting by hand: binary search, three sorting algorithms, Big-O without the maths, recursion- Classes, objects, inheritance, and when inheritance is the wrong answerThree or four exercises end every chapter. Full solutions are in the back.No prior programming experience. No maths beyond arithmetic. Written for Python 3.14, and everything in it works on 3.10 and later.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Most Python interview books hand you a definition and wish you luck. Read the two-star reviews on the big ones and the same two complaints come up: too basic for anyone with real experience, and the code examples never show their output.This book is built against both.It follows one engineer, Neha Kulkarni, four years in, through one six-round interview loop at a payments company. Six rounds, six named interviewers, and 161 questions that land in the round where they would actually be asked. Every question gives you four things: What it coversObjects, references and mutability. Closures and decorators. The GIL, threads, processes, and what changed in Python 3.14 when free-threaded builds became officially supported. The standard 2019 answer to 'can Python do parallelism' is now wrong, and interviewers have noticed. async/await and the single mistake that takes a FastAPI service down. FastAPI dependencies, lifespan and Pydantic v2. Django 6.0's async story and where django-ninja fits. Reading a query plan. Composite index column order. The N+1. SQLAlchemy 2.0 sessions and AsyncSession. Idempotency keys and the duplicate-charge bug. Caching, queues, retries, the outbox pattern. A scoped backend design round. Testing with pytest-asyncio, plus uv, ruff and mypy. The offer call, and negotiating level rather than money.Who it is forEngineers with roughly two to six years of Python who can do the job and have never had to narrate it. If most of those years were spent inside Django, chapters 2 through 5 are the ones to read twice.Written against Python 3.14.7, FastAPI 0.141, Pydantic v2, SQLAlchemy 2.0 and Django 6.0. 269 pages. Includes a 48-hour plan for when the loop is on Thursday and it is now Tuesday night.- The answer you say out loud, in one or two sentences- The full explanation, starting from the problem the thing solves- Code you can run, with its real output printed- The two or three follow-ups that come next, which is where interviews are decided.…

Taschenbuch. Zustand: Neu. Neuware - At 20:41 on a Friday, Tarun got a message from a friend asking whether the app was broken. He was on call. He had not been paged. Every panel on the dashboard was green, and it stayed green for the six hours and twenty-six minutes it took to find the problem.Nothing had crashed. That is the point.This book follows one team through the year after that night. A food-delivery company in Pune, one checkout service that is 'sometimes slow', and thirteen chapters that each add a layer to the same service until the outage that took six hours takes seventeen minutes.What you build along the way: - OpenTelemetry instrumentation, starting with the zero-code version you can ship in an afternoon and nobody has to approve- Traces, metrics and structured logs that share a trace ID, so you can walk from a spike on a graph to the log line that explains it in two clicks- A Collector pipeline you control, where dropping a costly label is a config reload instead of five pull requests- Tail sampling that keeps every error and every slow trace at 8% of the storage- SLIs and SLOs defined on things a customer would notice, with the error-budget arithmetic worked out in full- Burn-rate alerts that replaced forty-seven rules with six, derived rather than guessedThere is also a chapter on what all of it costs, with a real monthly invoice broken down line by line, and the four levers that cut it by 60% without losing the data that saves you at 3 am.Written for backend and DevOps engineers who inherited a Grafana instance from someone who left and suspect it is not telling them much. No prior OpenTelemetry. No PromQL. Working Go, YAML and PromQL examples throughout, with every threshold derived from something rather than copied from a blog post.By the end you will have one number on a wall that means something.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Stop fighting spaghetti code. Learn to design, build, and scale resilient APIs from scratch using Python and FastAPI.Many developers can spin up a quick endpoint, but few know how to engineer an entire API ecosystem that survives real-world production stress. In The Complete API Handbook (Python & FastAPI Edition), you won't just read dry theory or disconnected documentation. Instead, you will follow a hands-on, progressive narrative following Maya and Theo-two developers at a fast-growing food-delivery startup called Platter-as their chaotic monolith evolves into a distributed, high-performance backend.Every chapter introduces a new milestone, shift in production load, or system crash that forces them to level up their architecture. You will sit right alongside them, learning the core principles behind every pattern in plain language before implementing clean, production-ready code in Python and FastAPI.What You Will Master Inside: - Foundations & REST: Move from tangled monolithic logic to clean RESTful design, resource modeling, and robust error handling.- Data Flow & Pagination: Solve performance bottlenecks and prevent crashes using Offset, Keyset, and Cursor pagination strategies.- API Versioning & Contracts: Update APIs gracefully, maintain backward compatibility, and manage deprecation protocols without breaking mobile or third-party callers.- Authentication & Security: Implement secure authentication flows, stateless JWT access/refresh token systems, and granular role-based permissions.- Traffic Control & Protection: Guard your infrastructure from overload using Fixed Window, Sliding Window, and Token Bucket rate-limiting algorithms.- Advanced Paradigms: Expand beyond REST to build high-efficiency gRPC services, flexible GraphQL interfaces, and real-time WebSockets.Whether you are a self-taught programmer, a frontend developer looking to understand backend architecture, or an engineer aiming to refine your system design skills, this book bridges the gap between basic code examples and real-world API engineering.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Why does a sidewinder move sideways How can a dung beetle use the Milky Way to find its way The Wild World Expedition takes readers ages 8-12 through eight remarkable habitats: savannas, rainforests, deserts, temperate forests, mountains, wetlands, oceans, and polar regions. Across 72 illustrated profiles, children meet familiar favorites and lesser-known species, from the African lion and blue whale to the leafcutter ant and peacock mantis shrimp.Each profile answers the questions curious readers ask: Where does the animal live What does it eat How large can it grow When is it active The book also explains the body parts and behaviors that help each species find food, avoid danger, survive harsh weather, and raise its young.Realistic natural-history artwork sits beside scientific names, locator maps, conservation status, honest size ranges, close-look details, and memorable facts. Feature spreads reward careful reading, while compact profiles make it easy to compare animals from very different parts of the world.Made for browsing, school projects, and young nature lovers who always want to know why.…