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 First Principles Thinking: Mental Models for Thinking Clearly and Making Better Decisions English | April 15, 2026 | ASIN: B0GTZ8TDY6 | 389 pages | Epub | 1.72 MB Most of what we believe, we inherited.From family, school, culture, and institutions, we absorb assumptions long before we learn to examine them. Some remain useful. Others persist only because no one has questioned them. We make confident decisions on foundations we never chose.In First Principles Thinking, Walter Dimon shows how to strip problems down to their load-bearing truths, separate real constraints from inherited conventions, and rebuild understanding from the ground up. Beginning with the hidden patterns that shape judgment, he develops first principles thinking as a disciplined method of reduction and reconstruction, then shows where it works, where it fails, and when other modes of thought are needed.Along the way, he connects the method to root cause analysis, cognitive distortions, inversion, systems thinking, and pattern recognition, showing how clearer judgment comes not from one tool used everywhere, but from knowing what kind of problem you are facing and how to think about it well.For readers who want stronger judgment, not borrowed conclusions."The hardest assumptions to question are the ones that feel like facts."  First 100 days of the second Donald Trump presidency: e3 English | May 2, 2025 | ISBN: 9798231698585 | 299 Pages | Epub (True) | 2.81 MB Book Description  Firmware and Hardware Reverse Engineering: UEFI, Embedded Devices, IoT, BMC, and Trusted Execution Environments Using Python, C, and Ghidra English | 31 May 2026 | ASIN: B0H3JFVRCJ | 533 pages | Epub | 518.15 KB Reactive PublishingThis book provides a practical and in-depth exploration of firmware and hardware reverse engineering, with focused coverage of UEFI systems, embedded devices, Internet of Things (IoT) hardware, Baseboard Management Controllers (BMC), and Trusted Execution Environments (TEE).Readers will learn how to analyze and reverse engineer firmware using industry-standard tools and languages, including Python, C, and Ghidra. The content addresses core techniques for examining low-level system components, extracting and dissecting firmware images, understanding hardware interfaces, and navigating security mechanisms commonly found in modern devices.Key topics include:UEFI firmware architecture and analysisEmbedded device and IoT hardware reverse engineeringBaseboard Management Controller (BMC) internalsTrusted Execution Environments and their security boundariesPractical workflows with Ghidra, Python, and C for disassembly, debugging, and modificationDesigned for security researchers, embedded systems engineers, hardware hackers, and technical professionals, this book emphasizes hands-on methods and real-world technical details rather than high-level theory.Note to readers: This is a technical reference intended for educational and defensive security purposes. Familiarity with programming, computer architecture, and basic reverse engineering concepts is recommended.  Financial Statistics with Python: Statistical Methods, Regression, and Risk Analysis for Finance English | May 14, 2026 | ASIN: B0H1T4D4TD | 424 pages | Epub | 489.45 KB Reactive PublishingFinancial Statistics with Python is a practical guide to applying statistical methods in finance using Python.Designed for analysts, finance professionals, students, and quantitative beginners, this book introduces the core statistical tools used to understand financial data, evaluate uncertainty, and support better analytical decisions. It focuses on clear explanations, structured workflows, and Python-based examples that connect statistical theory to real-world financial analysis.Inside, readers will explore descriptive statistics, probability distributions, hypothesis testing, regression analysis, and risk measurement. The book shows how these methods can be used to examine returns, volatility, relationships between variables, model behavior, and interpret financial datasets with greater confidence.Rather than treating statistics as abstract theory, this guide emphasizes practical application. Each topic is framed around analytical use cases relevant to finance, including performance analysis, market data exploration, factor relationships, portfolio risk, and decision support.Whether you are building a foundation in quantitative finance, improving your Python analysis skills, or strengthening your statistical toolkit, Financial Statistics with Python provides a structured starting point for working with financial data in a disciplined and evidence-based way.  Financial Modeling and Reporting with Microsoft Power BI: Build models, KPIs, and modern finance reports in Power BI from scratch English | May 15, 2026 | ASIN: B0FN7P9D1P | 522 pages | Epub (True) | 58 MB Design powerful financial reports in Power BI by building models, measures, and dashboards tailored for real-world accounting and analyticsKey FeaturesBuild a complete financial data model from ledgers, journals, and budgetsMaster DAX for income statements, KPIs, and performance analysisLearn Power BI Paginated and AI tools for printable and predictive reportingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionFinancial Modeling and Reporting with Microsoft Power BI is the definitive guide to designing high-performance, flexible, and insightful financial reports using Power BI. This Power BI book empowers finance and BI professionals to create everything from trial balances to enterprise-wide performance dashboards with ease and precision.The book starts by helping you define your reporting goals and data sources, mapping these needs to Power BI's capabilities. You'll then build a core financial data model-covering ledger transactions, charts of accounts, and multi-company support. As you proceed, you'll integrate complex DAX measures, handle foreign exchange and journal entries, and extend your model with budgeting and inventory data.Each chapter builds toward a comprehensive suite of reports, complete with visual best practices and tested metrics. You'll learn to streamline datasets using Power Query, test for data integrity, and generate printable reports via Power BI Paginated. The final chapters dive into using AI, predictive analytics, and Microsoft Fabric to future-proof your reporting.Whether you're consolidating data across systems or evolving your reports for changing business needs, this hands-on guide ensures you're prepared to meet the demands of modern finance.What you will learnBuild core financial models from ledgers and accountsCreate Trial Balance and Income Statements using DAXOptimize Power BI with Power Query and data transformationAdd budgets, targets, and KPIs to performance dashboardsIntegrate inventory data for nuanced stock reportingProduce printable reports using Power BI PaginatedApply AI for report generation and predictive analyticsTest, tune, and evolve reports for secure, scalable useWho this book is forThis book is for finance professionals, accountants, financial analysts, and BI developers who want to leverage Power BI to improve, automate, and future-proof their financial reporting. Whether consolidating data from ERPs, building reports across entities, or exploring advanced Power BI features, this book equips readers with practical skills and strategic insight.Table of ContentsIdentifying Your Reporting Needs and Data SourcesThe Basic Model for Financial ReportingCreating a Trial Balance and Income StatementCommon DAX MeasuresHandling Manual Journal EntriesStreamlining with Power QueryIncorporating Budgets and TargetsManaging Inventory DataCreating a Suite of Financial ReportsTesting and Fine-Tuning Your DataPrintable Financial Statements with Power BI PaginatedFinancial Reporting in an AI-Driven WorldEvolving and Maintaining Your Reports  Financial Mathematics with Python: Methods for Interest Rates, Bonds, Derivatives, Risk, and Portfolios English | May 13, 2026 | ASIN: B0H1NRX15X | 565 pages | Epub | 615.19 KB Reactive PublishingFinancial Mathematics with Python is a practical guide to the quantitative methods used in modern finance, investment analysis, and risk modeling. Written for readers who want to connect financial theory with computational implementation, this book introduces core mathematical concepts through clear explanations and Python-based examples.The book covers interest rate calculations, bond pricing, yield measures, duration, convexity, derivative valuation, risk modeling, and portfolio analysis. Each topic is presented with an emphasis on understanding the logic behind the calculations, translating formulas into code, and applying financial mathematics in structured analytical workflows.Rather than treating Python as an afterthought, this book uses programming as a natural extension of financial reasoning. Readers will learn how to build reusable calculations, model cash flows, evaluate securities, simulate financial outcomes, and analyze risk across different financial instruments.Inside, readers will explore:Interest rate mathematics and time value of moneyBond pricing, yield curves, duration, and convexityDerivative pricing concepts and computational valuation methodsRisk measures, volatility, scenario analysis, and model assumptionsPortfolio calculations, returns, covariance, diversification, and allocation logicPython workflows for financial modeling and quantitative analysisFinancial Mathematics with Python is designed for students, analysts, finance professionals, and technically minded readers who want a rigorous but accessible foundation in computational finance. Whether used for study, professional development, or independent research, this book provides a structured pathway into the mathematics that supports financial decision-making.  Financial Mathematics for Traders: Essential Probability, Statistics, and Stochastic Processes English | June 8, 2026 | ASIN: B0H4HVJVWN | 458 pages | Epub | 532.79 KB Reactive PublishingMaster the mathematical foundations that power modern trading with Financial Mathematics for Traders: Essential Probability, Statistics, and Stochastic Processes.This clear and practical guide bridges the gap between theory and trading application. Designed specifically for traders, quants, and finance professionals, it delivers a focused treatment of the core mathematical tools used in quantitative finance and algorithmic trading strategies.What You'll Learn:Probability Theory - Master random variables, distributions, expectations, and conditional probability as they apply to market behavior and risk assessment.Statistical Methods - Build competence in estimation, hypothesis testing, regression analysis, and time-series modeling essential for backtesting and strategy validation.Stochastic Processes - Develop a solid understanding of Brownian motion, martingales, Itô calculus, and diffusion processes that underpin option pricing, risk management, and simulation-based trading models.Each concept is presented with trading-relevant examples, intuitive explanations, and minimal jargon, making complex topics accessible without sacrificing technical rigor. Whether you are developing quantitative models, evaluating trading systems, or seeking a stronger mathematical edge in the markets, this book provides the essential toolkit.Ideal for intermediate to advanced traders, self-taught quants, and finance students looking to move beyond surface-level technical analysis into mathematically grounded decision-making.Financial Mathematics for Traders equips you with the probabilistic and statistical foundation required to think like a professional quant, clearly, confidently, and with precision.  Feuer und Flamme für Franken: 80 Fränkische Lieblingsrezepte vom Grill Deutsch | 19 May 2021 | ASIN: B095CGBS8Z | 192 Seiten | EPUB (True) | 40.65 MB Bamberger Zwiebel, Fränkischer Schäufele-Burger, Volkacher Kaninchen und Aischgründer Karpfen - das alles und noch viel mehr vom Grill? Food-Bloggerin Ina Medick zeigt in ihrem Grillbuch wie. Die Rezept-Palette reicht von kleineren Gerichten bis hin zu wohlschmeckenden Hauptgerichten und süßen Desserts -Rezepte für Beilagen und Getränke inklusive. Raffinierte Menü-Ideen und Specials für jede Jahreszeit runden das Buch perfekt ab.  Ferner Westen: Eine Reise entlang der portugiesischen Küste Deutsch | 15 Mar. 2022 | ISBN: 3866486693 | 304 Seiten | EPUB (True) | 1.74 MB Paulo Moura, der sonst als Kriegsberichterstatter ferne Länder bereist, hat sich auf den Weg gemacht, die eigene Heimat zu erkunden: immer an der Küste entlang, von der Costa Verde bis in den Südosten der Algarve. Im kleinen Dorf Afife stößt er auf ein verlassenes Tanztheater mit einer erstaunlichen Entstehungsgeschichte, in Tamera auf eine Kolonie deutscher Aussteiger. Er begleitet die Hafenarbeiter von Lissabon und die Fischer von Sesimbra bei ihrer harten Arbeit und erzählt von den portugiesischen Literaten, die im 19. Jahrhundert den vornehmen Badeort Figueira da Foz für sich entdeckten. Indem Moura all diese Geschichten versammelt, zeichnet er ein stimmungsvolles und nuanciertes Bild der Seele Portugals, denn das Wesen der wechselnden Landschaften, durch die er reist, liegt in den Schicksalen der Menschen, die sie bewohnen.  Familien-Ausflugsführer: München mit Kids. 101 spannende Ideen für Freizeit, Urlaub, Wochenende.: 101 spannende Ideen für Freizeit, Urlaub, Wochenende Deutsch | 2 Jun. 2021 | ISBN: 3862466779 | 192 Seiten | EPUB (True) | 28.1 MB München ist ein wahres Freizeit-Eldorado für Kinder und Eltern. Dominique und Martin Lurz haben 101 Aktivitäten in und um München aufgespürt, die jedes Kinderherz höherschlagen lassen. Ausführliche Beschreibungen, wissenswerte Infos und Karten machen die Freizeitgestaltung zum Kinderspiel! Mit Kindern lässt sich wunderbar wandern, sporteln oder Kunst und Kultur erleben - dachten Sie nicht? Dieser Freizeitführer zeigt wo und gibt auch wertvolle Tipps, wo sich die abenteuerlichsten Spielplätze und familienfreundlichsten Restaurants befinden. |
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