Malte eisenberg (17 Ergebnisse)
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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EUR 3,85 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
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EUR 31,98
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail
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EUR 33,70
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Paperback. Zustand: new. Paperback. The honest guide to algorithmic trading in Python - without the hype.Most books on trading bots promise easy returns. This one promises something more useful: the engineering skill to build, test, and operate a real trading system in Python - and the discipline to know whether to run it with r…eal money at all.Across 313 pages and 29 hands-on chapters, you go from your first strategy to a working bot connected to a live exchange - with the risk controls and operational rigor that separate serious operators from those who blow up in their first month.What you will buildA complete crypto trading bot - Binance via ccxt, idempotent orders, ATR stops, SQLite, Telegram alerts, graceful shutdownA stock trading system using the Alpaca API and a cron-driven architectureA backtester that handles fees, slippage, and look-ahead bias correctlyStrategies in momentum, mean reversion, arbitrage, and portfolio allocationAn ML pipeline with LightGBM and walk-forward validationAn RL environment for trading research with GymnasiumA paper-trading framework for catching the bugs backtests missA Streamlit dashboard for P&L, drawdown, and strategy attributionProduction deployment - Docker, systemd, watchdogs, crash recovery Why this book is differentIt treats algorithmic trading as engineering, not a path to riches. Every project ships with the safety controls real operators use - kill switches, idempotency keys, structured logging, drawdown halts. Every code example is runnable. Every backtest models real frictions.It is honest about what works and what doesn't. Entire chapters cover the mistakes that recur in every operator's first year, the legal and tax terrain, and the realistic returns of retail-bot trading. It does not promise profits - it teaches Python, automation, and quantitative thinking.Inside the bookPart I - Foundations: Markets, order books, the strategy landscape, and the risk discipline that does most of the work.Part II - Setup: A clean Python environment, market data with yfinance and ccxt, financial data in pandas.Part III - First Strategies: A working moving-average crossover, an honest backtester, and how to improve a strategy without overfitting.Part IV - Real Bots: Connecting to live exchanges, executing orders safely, running 24/7 with monitoring and crash recovery.Part V - Advanced Strategies: Momentum, mean reversion, arbitrage, and multi-strategy portfolios.Part VI - AI and Machine Learning: What ML can and cannot do, feature engineering, a complete LightGBM pipeline, and reinforcement learning.Part VII - Real Projects: Four complete project bots with source code, setup, and safety controls.Part VIII - Going Live: The pre-flight checklist, common operator mistakes, the legal and tax terrain, and realistic retail-bot returns. Who this book is forProgrammers applying Python to real-world automationAnalysts and quants who want to understand markets at the level of someone who has actually built a botDevelopers comfortable with basic Python - no finance background requiredAnyone who prefers detailed technical treatments to marketing copy What this book is notIt is not financial advice. It does not promise returns, beat-the-market strategies, or passive income. The strategies are educational examples, not investment recommendations. The reader who takes the warnings seriously is most likely to come out ahead - whether or not they ever go live.Educational only. Not financial, legal, or tax advice Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 33,00
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Taschenbuch. Zustand: Neu. Neuware - Stop renaming files at midnight.If you self-publish across KDP, Apple Books, and Etsy, you already know that most of your time goes to formatting files, regenerating covers, comparing keyword lists, and reconciling sales reports. Python for KDP Authors hands you a complete, working Python too…lkit you can run from your own laptop - no consultants, no subscriptions, no scraping.Across twenty hands-on chapters, you'll build: - Manuscript validators that catch double spaces, smart-quote inconsistencies, missing chapters, and word-count drift before they reach a paying reader.- An EPUB pipeline that converts your Markdown or .docx manuscript into a clean, KDP- and Apple-Books-compliant Elektronisches Buch with a real table of contents.- A ReportLab print PDF pipeline with a two-pass table of contents, recto-verso running heads, and an exact-page-count gutter calculator.- Parametric cover templates with bleed, spine, and trim math computed from page count and paper thickness.- Metadata, category, and keyword exporters that produce KDP, Apple Books, and Etsy listings from one canonical source file.- Sales and royalty reports built on top of pandas, with per-title, per-store, and per-pen-name breakdowns.- A SQLite catalog that tracks every book, format, store listing, and pen name in your operation.- A personal command-line tool - kdp-tools - that wires the whole pipeline together with one command. Who this book is forThis book is written for self-published authors who already have a working catalog and want to spend more of their week writing instead of reformatting. You should be comfortable with a text editor and the basics of moving files around. You do not need a computer science background. The book starts with plain Python and walks you through every script you'll need, end to end.What you'll need- A laptop (Mac, Windows, or Linux).- Python 3.11 or newer.- A text editor - VS Code is recommended.- A folder of manuscripts you actually care about backing up first.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 39,00
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Taschenbuch. Zustand: Neu. Neuware.
- Softcover
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Anbieter: California Books, Miami, FL, USACalifornia Books
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Zustand: New. Print on Demand.
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Anbieter: California Books, Miami, FL, USACalifornia Books
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Zustand: New. Print on Demand.
- Softcover
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Anbieter: California Books, Miami, FL, USACalifornia Books
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Zustand: New. Print on Demand.
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Anbieter: California Books, Miami, FL, USACalifornia Books
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Zustand: New. Print on Demand.
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Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail
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EUR 29,48
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Paperback. Zustand: new. Paperback. Stop Letting Your Python Apps Wait Around. Make Them Fly.Your web scraper takes hours to crawl thousands of URLs. Your API server handles requests one at a time while users sit watching loading spinners. Your data pipeline processes records sequentially, wasting precious wall-clock time on the… network.You've heard async programming could fix all of this. You've seen the async and await keywords. But the explanations either skip the fundamentals you actually need or drown you in low-level event-loop theory you'll never use.Async Python Mastery is the practical, no-magic guide that takes you from confused to confident.What You'll BuildFastAPI services that serve hundreds of concurrent requests on a single coreWeb scrapers that fetch thousands of pages in seconds, not hoursDatabase layers using async SQLAlchemy, asyncpg, and Motor that don't block on every queryProduction systems with proper timeouts, retries, circuit breakers, and graceful shutdownReal-world applications that mix async, threads, and processes intelligently What Makes This Book DifferentBuilt around real production code. Every example targets Python 3.11+ and uses modern patterns: asyncio.TaskGroup, asyncio.timeout(), FastAPI's lifespan context manager, and redis.asyncio. No deprecated APIs. No tutorial-grade fragments that fall over in production.Honest about trade-offs. You'll learn when async is the wrong choice. When threading wins. When multiprocessing is your only option. The book includes a Decision Matrix you'll come back to whenever you're starting a new project.Code-heavy, jargon-light. Every concept is grounded in code you can run. Every chapter ends with Quick Reference tables, Action Steps, and a "Coming Up" preview so you always know where you are.Inside You'll MasterHow the asyncio event loop actually schedules your tasks (and why blocking it kills performance)Coroutines, tasks, and the modern structured concurrency patterns from Python 3.11+Building production-grade async APIs with FastAPI, including lifespan management and dependency injectionAsync database operations with connection pooling, transactions, and N+1 query avoidanceHigh-throughput web scraping with semaphore-based rate limiting and exponential backoffReal-world patterns: aggregating multiple APIs, streaming responses, WebSockets, cachingConcurrency pitfalls: race conditions, missing awaits, session leaks, and the bugs type checkers can catchChoosing between async, threading, and multiprocessing for any workloadProduction deployment: Uvicorn workers, monitoring with Sentry, structured logging, graceful shutdown, Docker, and Nginx configuration Who This Book Is ForIntermediate Python developers who can write clean synchronous code but feel lost the moment async enters the picture. You don't need prior async experience-just comfort with Python fundamentals: functions, classes, decorators, exception handling, and the standard library.What You Get10 focused chapters across 200+ pages. Two appendices with quick-reference patterns and a common-patterns library. Real case studies drawn from production systems (composite, with the names changed but the bugs and trade-offs preserved). Code examples tested on Python 3.11 and 3.12.Stop fighting your code. Start writing Python that scales. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print-on-Demand
Anbieter: CitiRetail, Stevenage, Vereinigtes KönigreichCitiRetail
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EUR 30,08
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Paperback. Zustand: new. Paperback. Most FastAPI tutorials end where production begins.There's a gap - sometimes a chasm - between an API that works on a developer's laptop and an API that works at three in the morning under a load spike with one of the database replicas down. Most tutorials live on one side of that gap. This bo…ok lives on the other.FastAPI makes it pleasant to write the laptop version of an API: type hints become validation, docstrings become documentation, async functions become a real concurrency story. The framework removes so much friction that you can ship a working endpoint in twenty minutes. That is its great strength and, paradoxically, its trap - because shipping the laptop version to production is how every team rediscovers the same handful of issues: secrets in source files, an authentication flow that works only for the happy path, a cache invalidation strategy that turns into a herd of database queries the moment Redis blinks, a test suite that can't be run in CI, a deployment story that consists of one engineer who knows how to do it.This book attacks those failure modes head-on.Across twelve chapters and a single continuing project - the Articles & Users API - you build a service that has every capability production demands and none of the demo-code shortcuts that fail under real load. The project starts in Chapter 2 as a single file with two endpoints. By Chapter 12 it is a containerized service with JWT authentication, refresh-token rotation, optional MFA, per-user rate limiting, a two-tier cache, two API versions running in parallel, OpenAPI documentation, a passing test suite, an observability stack, and Kubernetes manifests.What you'll build: A typed, async-native API using FastAPI 0.115] and Pydantic v2JWT authentication with refresh-token rotation and reuse detectionMulti-factor auth (TOTP) with hashed backup codesRole-based access control and API key authenticationRedis-backed rate limiting that actually pipelines correctlyCache-aside with stampede protection - the failure mode no tutorial mentionsTwo API versions running side-by-side with a real deprecation lifecycleOpenAPI documentation consumers can actually useA test suite using modern httpx with ASGITransportPerformance work backed by profiling, not guessworkA production deployment with Docker, Kubernetes, OpenTelemetry, and graceful shutdownThis book is for you if: You're comfortable with Python and HTTP basics, but want to ship something beyond a tutorial demoYou've built an API that worked in development and broke in production - and want the patterns that prevent thatYou're tired of fragmented blog posts that show pieces but never the integrated wholeYou want one continuous project that grows from a single endpoint into a deployable serviceWhat this book is not: An exhaustive FastAPI reference, a Python tutorial, or a microservices manifesto. It's an opinionated field guide that names tradeoffs, picks sides, and ends every chapter pointing at what comes next.Stack (pinned in Appendix C): Python 3.12, FastAPI 0.115+, Pydantic 2.9+, SQLAlchemy 2.0 async, PyJWT, Redis 5+, httpx 0.27+, pytest 8+. Every example was tested against this exact stack.The companion code is free.Download the complete Articles & Users API repository - including Dockerfile, docker-compose stack, Kubernetes manifests, and a passing test suite - at the link printed on the About page.Take what is useful, argue with what is not, and ship the thing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
