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Michigan Legal Publishing Ltd.: United
States Bankruptcy Code; 2024 Edition

United States Bankruptcy Code; 2024 Edition

Haufe Fachbuch

Christian Flesch

Erfolgsprinzipien für bessere Teamleistung und Zusammenarbeit

Der Team-Code

A complete guide to deep neural networks – the technology behind AI – covering fundamental and advanced techniques to apply machine learning in real-world scenarios. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

Deep Learning Crash Course

Build intelligent applications—no data science degree required. Your boss is pitching new AI features. Your team is buzzing about MCP servers. Job postings are asking for AI experience with RAG, vector databases, fine-tuning, and agents. You can feel the excitement. You see the potential. You may be wondering how to get started in AI without a data science degree. You’re in the right place. The Developer’s Guide to AI gives working developers a practical path through the terminology, tools, and implementation patterns that matter. It shows you how to build with AI using the tools you already know: JavaScript, Python, APIs, SDKs, and databases. By the end of this book, you’ll know how to: <ul><li>Call LLM APIs and stream intelligent responses directly to your UI.</li><li>Engineer prompts that produce reliable, production-ready results.</li><li>Build RAG pipelines using vector databases to give AI access to your private data.</li><li>Fine-tune models with LoRA for specialized tasks like classification.</li><li>Deploy AI agents using tool-calling and the Model Context Protocol (MCP) to reason and act inside real workflows.</li></ul> LLMs, RAG, LoRA, MCP, embeddings, and agents are not just intimidating buzzwords. They are the building blocks for the next generation of software. Grab your code editor, bring your engineering instincts, and let’s build what’s next!

The Developer's Guide to AI

Not the Same Old JavaScript. Think you know JavaScript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code.&nbsp; Key features include: <ul><li>Modern JavaScript techniques: Use the latest language features and functional programming principles for cleaner, more efficient code.</li><li>Performance-focused approach: Analyze and optimize algorithms using Big O notation.</li><li>Essential algorithms explained: Implement and fine-tune core algorithms like quicksort, merge sort, digital search, and binary search.</li><li>Algorithm design strategies: Solve challenging problems with techniques like recursion, dynamic programming, backtracking, and brute-force search.</li><li>Advanced data structures: Explore complex structures such as binary search trees, heaps, and graphs. </li></ul> Each chapter is carefully crafted with clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding. Ready to break free from ordinary JavaScript? Whether your aim is to build cutting-edge web applications, optimize critical systems, or land your dream job, this book equips you with the advanced JavaScript knowledge that sets true experts apart.

Data Structures and Algorithms in JavaScript

A one-stop-shop for all the math you should have learned for your programming career. Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.&nbsp; In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms. Through clear explanations and practical examples, you’ll learn to: <ul><li>Harness linear algebra to manipulate data with unprecedented efficiency</li><li>Apply calculus concepts to optimize algorithms and drive simulations</li><li>Use probability and statistics to model uncertainty and analyze data</li><li>Master the discrete mathematics that powers&nbsp;modern data structures</li><li>Solve dynamic problems through differential equations</li></ul> Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

Math for Programming

Explore PHP 8, from foundational concepts to the advanced, modern features that drive today’s web applications. Whether you are a beginner, an experienced developer, or returning to PHP after some time away, this book offers practical techniques to help you write cleaner, more efficient code.&nbsp;
The book starts with a detailed guide on setting up a variety of systems for PHP development tailored to your needs. PHP's data handling features are explained in detail, with reference to the underlying architecture of modern computers, before moving on to language concepts and features. Finally, PHP 8 is placed in its context as a leading programming language for the internet, with features explained in tandem with the relevant core internet technologies.&nbsp;
You will learn how to correctly handle multibyte text, a classic source of bugs in web development. You will explore PHP’s object-oriented features, gaining a clear understanding of how objects work and how to design and use them effectively. Throughout the book, PHP 8’s latest features are showcased and explained through a wealth of code examples and detailed explanations. &nbsp;
You Will:&nbsp;

Understand the basics of computer programming, data representation, and web development.&nbsp;


Master object-oriented design in PHP using advanced PHP 8 features.&nbsp;


Work in different environments, including Docker.&nbsp;


Review common mistakes and how to avoid them.&nbsp;


Handle numbers, text, structured data, and manage dates and times effectively.&nbsp;


Analyze problems and implement code solutions.&nbsp;


Apply techniques for debugging and error handling.&nbsp;

Small Steps to Giant Leaps

Exploring PHP 8

HBR's 10 Must Reads

How to stay ahead in a world transformed by AI.If you read nothing else on artificial intelligence, read this book. We've chosen a new selection of current and classic Harvard Business Review articles that will help you make sense of the evolving generative AI landscape, manage regulation and risk, and develop a strategy that keeps pace with technological change.This book will inspire you to: <ul><li>Help your people and technology work better together</li><li>Redesign roles, workflows, and capabilities</li><li>Keep your AI projects on track</li><li>Address gen AI's quality control and waste problems</li><li>Harness the potential of agentic AI</li><li>Embed AI in the core of your business</li></ul>This collection of articles includes "For Success with AI, Bring Everyone on Board," by David De Cremer; "Bring Human Values to AI," by Jacob Abernethy, Francois Candelon, Theodoros Evgeniou, Abhishek Gupta, and Yves Lostanlen; "From Prediction to Transformation," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "How AI Can Help Managers Think Through Problems," by Elisa Farri and Gabriele Rosani; "The Gen AI Playbook for Organizations," by Bharat N. Anand and Andy Wu; "Agentic AI Is Already Changing the Workforce," by Jen Stave, Ryan Kurt, and John Winsor; "Keep Your AI Projects on Track," by Iavor Bojinov; "How to Marry Process Management and AI," by Thomas H. Davenport and Thomas C. Redman; "The Hidden Penalty of Using AI at Work," by Oguz A. Acar, Phyliss Jia Gai, Yanping Tu, and Jiayi Hou; "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman; "AI Is Changing the Structure of Consulting Firms," by David S. Duncan, Tyler Anderson, and Jeffrey Saviano; "Stop Running So Many AI Pilots," by Goutam Challagalla, Mahwesh Khan, and Fabrice Beaulieu; "Addressing Gen AI's Quality-Control Problem," by Stefan Thomke, Philipp Eisenhauer, and Puneet Sahni; "AI's Growing Waste Problem--and How to Solve It," by Samsurin Welch, Khaled Soufani, and Eva Morales; and "Don't Let an AI Failure Harm Your Brand," by Julian De Freitas.HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.This Updated and Expanded edition features new, breakthrough articles, additional short-form pieces, and a detailed discussion guide to give you and your team the tools you need for sustained success.

HBR's 10 Must Reads on Artificial Intelligence

Build a more secure network with PF. The OpenBSD packet filter, PF, is central to the OpenBSD and FreeBSD network toolbox. With more services placing high demands on bandwidth and an increasingly hostile Internet environment, no sysadmin can afford to be without PF expertise. The fourth edition of The Book of PF covers the most up-to-date developments in PF, including new content on IPv6, dual stack configurations, the “queues and priorities” traffic-shaping system, NAT and redirection, wireless networking, spam fighting, failover provisioning, logging, and more.&nbsp; You’ll also learn how to: <ul><li>Create rulesets for all kinds of network traffic, IPv4 and IPv6 both, whether crossing a simple LAN, hiding behind NAT, traversing DMZs, or spanning bridges or wider networks</li><li>Set up wireless networks with access points, and lock them down using authpf and special access restrictions</li><li>Maximize flexibility and service availability via CARP, relayd, and redirection</li><li>Build adaptive firewalls to proactively defend against attackers and spammers</li><li>Harness OpenBSD’s latest traffic-shaping system to keep your network responsive, or use ALTQ and Dummynet configurations on FreeBSD to full effect</li><li>Stay in control of your traffic with monitoring and visualization tools (including NetFlow)</li></ul> The Book of PF is the essential guide to building a secure network with PF. With a little effort and this book, you’ll be well prepared to unlock PF’s full potential. Covers OpenBSD 7.x, FreeBSD 14.x, and NetBSD 10.x

A No-Nonsense Guide to the OpenBSD Firewall

The Book of PF, 4th Edition

A no-nonsense guide to all the essentials you’ll need to become a TypeScript wizard and build a TypeScript application from scratch. “An invaluable resource to countless developers.” —Ryan Cavanaugh, Development Lead Microsoft TypeScript Team TypeScript makes JavaScript safer and your editor smarter. Matt Pocock’s Total TypeScript courses have trained thousands of developers by putting the editor first: You learn types by watching what TypeScript tells you, not by memorizing rules. This book brings that method to print. You’ll start by setting up a proper TypeScript environment, then immediately begin writing and annotating code. Each chapter builds on the last—primitive types to unions, objects to classes, basic generics to type transformations—with exercises woven throughout as checkpoints, not afterthoughts. Later chapters tackle what takes longer to learn: deriving types from other types, writing type predicates and assertion functions, configuring the compiler for real projects, and building type architectures that don’t collapse under their own weight. You’ll learn to: <ul><li>Read TypeScript’s error messages and use your editor as a teaching tool</li><li>Write precise types for objects, functions, and classes</li><li>Use unions, narrowing, and generics to make types flexible without losing safety</li><li>Derive and transform types so you don’t repeat yourself</li><li>Configure tsconfig.json for React, Node, or library development</li></ul> This is a workshop in print. The one Matt Pocock has been refining for years.

Total Typescript

Obwohl Organisationen massiv in Customer Experience investieren, bleibt die Kundenzentrierung im Alltag oft auf der Strecke.&nbsp;Dieses Buch von Holger Heinze und Matias Musmacher&nbsp;zeigt nicht nur, woran das liegt, sondern vor allem, wie es besser geht.&nbsp;&nbsp;Mit dem "Customer Code" verbinden die Autoren erstmals Customer Experience Management und Organisationsentwicklung zu einem ganzheitlichen und wirkungsvollen Ansatz. Sie beleuchten die Wechselwirkungen zwischen Entscheidungen, Strukturen und Zusammenarbeit und erklären, warum genau hier viele CX-Initiativen scheitern. Das Buch bietet einen klaren Zugang zu zentralen CX-Methoden, zeigt entscheidende organisationale Hebel auf und entlarvt Muster, die Kundenzentrierung blockieren. Konkrete Modelle und Praxisbeispiele veranschaulichen, wie Organisationen so transformiert werden können, dass echte Kundenzentrierung im Alltag gelingt.&nbsp;&nbsp;
 
 Inhalte:
 
 <ul>
 <li>Etablieren Sie Kundenzentrierung, die im Alltag funktioniert</li>
 <li>Verstehen Sie, warum CX-Initiativen in Unternehmen scheitern</li>
 <li>Verbinden Sie CX-Methoden mit echter Umsetzungsfähigkeit</li>
 <li>Lernen Sie die entscheidenden Fähigkeiten veränderungsstabiler Organisationen</li>
 <li>Nutzen Sie ein klares Modell zur Diagnose Ihrer Organisation</li>
 <li>Entwickeln Sie konkrete Ansatzpunkte für wirksame Veränderung</li>
 <li>Vergleichen Sie ihre Initiativen mit realen, erfolgreichen Projekten</li>
 </ul>

Customer Experience Management trifft Organisationsentwicklung: Strukturell, kulturell und systemisch zur echten CXM-DNA

Der Customer Code

Steigen Sie ein in C#
 Angefangen bei der Installation der Entwicklungsumgebung lernen Sie alle Grundlagen der C#-Programmierung, einschließlich der objektorientierten Programmierung, und entwickeln gleich Ihr erstes Programm.
 C#-Programmierung von A bis Z
 Sie lernen die GUI-Entwicklung mit Windows Forms und Windows Presentation Foundation und erstellen Datenbankanwendungen.
 Übung macht den Meister
 Ausführliche Schritt-für-Schritt-Anleitungen, anschauliche Beispiele und viele Übungsaufgaben sichern Ihren Lernerfolg. Das Buch ist ideal zum Selbststudium geeignet.

Ideal für Programmiereinsteiger

Einstieg in C# mit Visual Studio 2026

AI can write the code. You still need to know what it does. You’re already good at Excel. But you’re tired of the copy/paste, the helper columns, and the brittle formulas that break when someone adds a row. You want automation, and whether you write the code yourself or let AI generate it, you need to understand what’s actually running your business processes. Automate Excel with Python teaches you to build real workflows, step-by-step. You’ll read messy workbooks into pandas dataframes, filter and reshape data without helper columns, merge sources without silent VLOOKUP failures, and export polished results with formatting intact. A capstone chapter ties it together: import a multi-tab workbook, generate exception reports, and email the results—all from one script you run with a single click. You’ll learn how to: <ul><li>Read existing Excel files you already use into Python, even the messy ones</li><li>Replace daily copy/paste routines with reusable scripts</li><li>Merge and match data across sources with auditable results</li><li>Handle dates, times, and the edge cases that break formulas</li><li>Export from Python to Excel with column widths, number formats, and frozen panes intact</li><li>Build workflows that run daily without babysitting</li></ul> AI can write the code. This book makes sure you’re the one in control of it.

A Practical Guide for Nonprogrammers

Automate Excel with Python

United States Bankruptcy Code; 2024 Edition

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