<div class="raw-html-embed"> Sonderangebot Stämpflis juristische Lehrbücher: Bis Ende November profitieren Sie von 20% Rabatt auf folgende <a href="/aktion-sjl-und-pds">Lehr- und Praxisbücher</a>.</div>

NL_Doormat: Hintergrundfarbe des Newsletter Banners unten in der Doormat. Mit # eingeben z.B. #1405BE

NL_Doormat: Verlinkung zur Newsletter Seite

Über uns

À propos de nous

Zahlung und Lieferung

Paiement et livraison

Nachhaltigkeit

Durabilité

Open Access

Datenschutz

Protection des données

Karriere

Carrière

Impressum

Mentions légales

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Thèmes principaux

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Kanzleien und Behörden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen 2024

Nouveautés 2024

Infos, Tipps und Tricks

Infos, conseils et astuces

Vorankündigungen 2024/2025

Préavis 2024/2025

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Advanced Topics in Types and Programming
Languages

Advanced Topics in Types and Programming Languages

Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations. A range of statistical techniques are presented with their implementation in Python, including hypothesis testing, probability, exploratory data analysis, categorical variables, surveys and sampling, A/B testing, and correlation. The text introduces binary classification, a foundational element of machine learning, validation of statistical models by applying them to holdout data, and probability and inference via the easy-to-understand method of resampling and the bootstrap instead of using a myriad of "kitchen sink" formulas. Regression is taught both as a tool for explanation and for prediction. This book is informed by the authors' experience designing and teaching both introductory statistics and machine learning at Statistics.com. Each chapter includes practical examples, explanations of the underlying concepts, and Python code snippets to help readers apply the techniques themselves. Statistics for Data Science and Analytics includes information on sample topics such as: <ul><li>Int, float, and string data types, numerical operations, manipulating strings, converting data types, and advanced data structures like lists, dictionaries, and sets</li><li>Experiment design via randomizing, blinding, and before-after pairing, as well as proportions and percents when handling binary data</li><li>Specialized Python packages like numpy, scipy, pandas, scikit-learn and statsmodels--the workhorses of data science--and how to get the most value from them</li><li>Statistical versus practical significance, random number generators, functions for code reuse, and binomial and normal probability distributions</li></ul> Written by and for data science instructors, Statistics for Data Science and Analytics is an excellent learning resource for data science instructors prescribing a required intro stats course for their programs, as well as other students and professionals seeking to transition to the data science field.

Statistics for Data Science and Analytics

A hands-on introduction to Java programming-fully revised for the latest version, Java SE 21Thoroughly updated for Java Platform Standard Edition 21, this practical resource uses a proven, step-by-step approach to teach the fundamentals of Java. You will discover how to get started programming in Java from the very first chapter. Written by Java guru Herbert Schildt and updated by Dr. Danny Coward, the book starts with the basics, such as how to create, compile, and run a Java program. From there, you will learn essential Java keywords, syntax, and commands.Java: A Beginner's Guide, Tenth Edition covers the basics and touches on advanced features, including multithreaded programming, generics, Lambda expressions, and Swing. Enumeration, modules, and interface methods are also clearly explained. This proven guide delivers the appropriate mix of theory and practical coding necessary to get readers up and running developing their own Java applications from the ground up or customize existing code.<ul><li>Clearly explains important changes from JDK 18 through long-term support (LTS) release JDK 21</li><li>Features self-tests, exercises, and downloadable code samples</li><li>Written by bestselling author and leading Java authority Herbert Schildt along with Dr. Danny Coward, an experienced Java developer</li></ul>

Java: A Beginner's Guide, Tenth Edition

Anwendungen ​künstlicher Intelligenz (KI) und vor allem Large Language Models (LLMs) sind in aller Munde und revolutionieren in vielen Bereichen die Art und Weise, wie wir arbeiten. Das gilt auch für das Programmieren und die Softwareentwicklung, wo Werkzeuge wie ChatGPT von OpenAI, wenn sie richtig eingesetzt werden, die Produktivität erheblich steigern können.

Unabhängig davon, ob Sie beruflich oder privat programmieren, ob Sie Anfänger*in oder erfahrener&nbsp;Eintwickler*in sind, ob Sie mit künstlicher Intelligenz bereits vertraut sind oder nicht, in diesem Buch lernen Sie auf kompakte, praxisorientierte Weise anhand zahlreicher Beispiele, wie Sie Werkzeuge wie ChatGPT, Claude, Gemini &amp; Co. bei der Arbeit mit Code einsetzen können, um produktiver zu sein und Ihre Ziele schneller und müheloser zu erreichen. Darüber hinaus erfahren Sie, wie Sie einfache, eigene KI-Anwendungen auf Basis der OpenAI-API entwickeln können.

&nbsp;

Der Schwerpunkt des Buches liegt dabei auf allgemeingültigen Grundtechniken, die auch im schnelllebigen KI-Geschäft auf absehbare Zeit von Bedeutung sein werden.

&nbsp;

Der Inhalt

Einführung

<ul>
	<li>Das Zeitalter der künstlichen Intelligenz</li>
	<li>Chancen und Risiken für das Berufsfeld&nbsp;des Entwicklers</li>
</ul>

&nbsp;Teil 1 – ChatGPT &amp; Co. verstehen

<ul>
	<li>Funktionsweise von ChatGPT und anderen Large Language Models</li>
	<li>Alternativen zu ChatGPT</li>
</ul>

Teil 2: ChatGPT benutzen

<ul>
	<li>Die wichtigsten Features</li>
	<li>Tipps zur Formulierung effektiver Prompts</li>
</ul>

Teil 3: Einige Anwendungsbereiche für das Programmieren mit ChatGPT:

<ul>
	<li>ChatGPT als Nachschlagewerk, Berater oder Tutor nutzen</li>
	<li>Code schreiben</li>
	<li>Reguläre Ausdrücke (RegEx) erzeugen und bearbeiten</li>
	<li>Test-/Beispieldaten generieren</li>
	<li>Code testen und debuggen</li>
	<li>Code formatieren, kommentieren und dokumentieren</li>
	<li>Code übersetzen/transpilieren</li>
	<li>Fremden Code verstehen</li>
	<li>Die OpenAI-API verwenden</li>
</ul>

Über den Autor:

Joachim Zuckarelli&nbsp;hat Volkswirtschaftslehre an der Universität Mannheim studiert. Nach Stationen in der Unternehmensberatung und der Laborbranche leitet er heute den Business-Intelligence-Bereich eines Veterinärmedizin-Unternehmens und ist als Autor und Lehrbeauftragter tätig. Beruflich und privat nutzt er regelmäßig ChatGPT für eine breite Palette von Programmieraufgaben in unterschiedlichen Sprachen. Er lebt und arbeitet in München.

Anwendungen ​künstlicher Intelligenz (KI) und vor allem Large Language Models (LLMs) sind in aller Munde und revolutionieren in vielen Bereichen die Art und Weise, wie wir arbeiten. Das gilt auch für das Programmieren und die Softwareentwicklung, wo Werkzeuge wie ChatGPT von OpenAI, wenn sie richtig eingesetzt werden, die Produktivität erheblich steigern können.

Unabhängig davon, ob Sie beruflich oder privat programmieren, ob Sie&nbsp;Anfänger*in oder erfahrene Entwickler*in sind, ob Sie mit künstlicher Intelligenz bereits vertraut sind oder nicht, in diesem Buch lernen Sie auf kompakte, praxisorientierte Weise anhand zahlreicher Beispiele, wie Sie Werkzeuge wie ChatGPT, Claude, Gemini &amp; Co. bei der Arbeit mit Code einsetzen können, um produktiver zu sein und Ihre Ziele schneller und müheloser zu erreichen. Darüber hinaus erfahren Sie, wie Sie einfache, eigene KI-Anwendungen auf Basis der OpenAI-API entwickeln können.

&nbsp;

Der Schwerpunkt des Buches liegt dabei auf allgemeingültigen Grundtechniken, die auch im schnelllebigen KI-Geschäft auf absehbare Zeit von Bedeutung sein werden.

&nbsp;

Der Inhalt

Einführung

<ul>
	<li>Das Zeitalter der künstlichen Intelligenz</li>
	<li>Chancen und Risiken für das Berufsfeld&nbsp;des Entwicklers</li>
</ul>

&nbsp;Teil 1 – ChatGPT &amp; Co. verstehen

<ul>
	<li>Funktionsweise von ChatGPT und anderen Large Language Models</li>
	<li>Alternativen zu ChatGPT</li>
</ul>

Teil 2: ChatGPT benutzen

<ul>
	<li>Die wichtigsten Features</li>
	<li>Tipps zur Formulierung effektiver Prompts</li>
</ul>

Teil 3: Einige Anwendungsbereiche für das Programmieren mit ChatGPT:

<ul>
	<li>ChatGPT als Nachschlagewerk, Berater oder Tutor nutzen</li>
	<li>Code schreiben</li>
	<li>Reguläre Ausdrücke (RegEx) erzeugen und bearbeiten</li>
	<li>Test-/Beispieldaten generieren</li>
	<li>Code testen und debuggen</li>
	<li>Code formatieren, kommentieren und dokumentieren</li>
	<li>Code übersetzen/transpilieren</li>
	<li>Fremden Code verstehen</li>
	<li>Die OpenAI-API verwenden</li>
</ul>

&nbsp;

&nbsp;

&nbsp;

Eine kompakte Einführung

Programmieren mit ChatGPT

A fun and practical guide to learning Python with a special focus on data science, web scraping, and web applications In Unlocking Python: A Comprehensive Guide for Beginners, veteran software engineer, educator, and author Ryan Mitchell delivers an intuitive, engaging, and practical roadmap to Python programming. The author walks you through the vocabulary, tools, foundational knowledge, and occasional pop-culture references you'll need to hone your skills with this popular programming language. You'll learn how to install and run Python on your own machine, get up and coding with the language quickly, and best practices for programming both independently and in the workplace. You'll also find: <ul> <li>Key concepts in computer and data science explained from the ground up</li> <li>Advanced Python topics such as logging, unit testing, multiprocessing, and interacting with databases.</li> <li>Introductions to some of Python's most popular third-party libraries: Flask, Django, Scrapy, Scikit-Learn, Numpy, and Pandas</li> <li>Amusing anecdotes from the trenches of industry</li> </ul> Perfect for tech-savvy professionals at any stage of their careers who are interested in diving into Python programming. Unlocking Python is also a must-read for readers who work in a technical role but are interested in getting more directly involved with programming, as well as non-Python programmers who want to apply their technical skill to a new language.

A Comprehensive Guide for Beginners

Unlocking Python

Tech Today

Explore the modern Java development landscape with this expert guide In Real-World Java: Navigating the Java Ecosystem, a pair of seasoned Java developers delivers a concise handbook for mastering the essential tools and frameworks prevalent in today's commercial Java enterprises. Dive into a comprehensive exploration of Spring, logging, IDEs, build tools, testing tools, and other key concepts in the Java ecosystem. With just the right blend of explanation and practical examples, this book equips you with the expertise needed to thrive in enterprise Java development. <ul> <li>Familiarize yourself with technologies like Spring, Open Telemetry, Git, and Project Lombok</li> <li>Access tested and downloadable code examples to reinforce your learning journey</li> <li>Discover how to tune your software's performance and automate your CI/CD builds</li> </ul> Whether you're looking to enhance your proficiency or broaden your horizons in Java development, Real-World Java is your go-to companion. Perfect for developers already somewhat familiar with the language, this book offers insights and strategies to navigate the complexities of contemporary Java software development.

Helping You Navigate the Java Ecosystem

Real-World Java

Learn to code with Java and open the gate to a rewarding career Now in its 9th edition, Java For Dummies gives you the essential tools you need to understand the programming language that 17 million software developers rely on. This beginner-friendly guide simplifies every step of the learning process. You'll learn the basics of Java and jump into writing your own programs. Along the way, you'll gain the skills you need to reuse existing code, create new objects, troubleshoot when things go wrong, and build working programs from the ground up. Java For Dummies will help you become a Java developer, even if you're brand new to the world of coding. <ul> <li>Learn the basic syntax and building blocks of Java</li> <li>Begin to write your own programs in the latest Java version</li> <li>Test out your code and problem-solve any errors you find</li> <li>Discover techniques for writing code faster</li> </ul> This is the must-have Dummies resource for beginning programmers and students who need a step-by-step guide to getting started with Java. You'll also love this book if you're a seasoned programmer adding another language to your repertoire.

Java For Dummies

Lernen Sie schrittweise die wichtigsten Aspekte von Java kennen, von den elementaren Grundlagen über Konzepte der Objektorientierung und grafische Benutzungsoberflächen bis zu Datenbankanwendungen und Kommunikation im Netzwerk.
Die 12. Auflage dieses erfolgreichen Lehrbuches erweitert und aktualisiert die Inhalte auf die Java-Version 21.
Rund 250 Übungen unterstützen Sie dabei, die einzelnen Themen zu vertiefen. Der vollständige Quellcode der im Buch behandelten Programme und alle Lösungen zu den Aufgaben sind auf der Webseite zu diesem Buch verfügbar.
Das Buch richtet sich an Studierende der Informatik und der Wirtschaftsinformatik sowie an IT-Beschäftigte in Ausbildung und Beruf. Und an alle, die bereits grundlegende Kenntnisse in einer Programmiersprache haben und auf Java umsteigen möchten.

Lernen Sie schrittweise die wichtigsten Aspekte von Java kennen, von den elementaren Grundlagen über Konzepte der Objektorientierung und grafische Benutzungsoberflächen bis zu Datenbankanwendungen und Kommunikation im Netzwerk.Die 12. Auflage dieses erfolgreichen Lehrbuches erweitert und aktualisiert die Inhalte auf die Java-Version 21.Rund 250 Übungen unterstützen Sie dabei, die einzelnen Themen zu vertiefen. Der vollständige Quellcode der im Buch behandelten Programme und alle Lösungen zu den Aufgaben sind auf der Webseite zu diesem Buch verfügbar.Das Buch richtet sich an Studierende der Informatik und der Wirtschaftsinformatik sowie an IT-Beschäftigte in Ausbildung und Beruf. Und an alle, die bereits grundlegende Kenntnisse in einer Programmiersprache haben und auf Java umsteigen möchten.&nbsp;

Von den Grundlagen bis zu Datenbank- und Netzanwendungen

Grundkurs JAVA

The bestselling introduction to Python programming, revised to include the latest Python features, improved explanations, and new chapters about databases and sound files. If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised edition of the best-selling classic Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. You'll learn the basics of coding in Python and explore the language’s’s rich library of modules for performing specific tasks, like scraping data from websites, searching for text across multiple files, and merging, watermarking, or encrypting PDFs. The third edition includes: <ul><li>Expanded coverage of developer techniques, like creating command line programs</li><li>Updated examples and new projects</li><li>Additional chapters about working with SQLite databases, speech-recognition technology, video and audio editing, and text-to-speech capabilities</li><li>Simplified explanations (based on reader feedback) of beginner programming concepts, like loops and conditionals</li></ul> Even if you've never written a line of code, Automate the Boring Stuff with Python, 3rd Edition will teach you how to make your computer take on tedious tasks and do all your grunt work—the way it should be!

The bestselling introduction to Python programming, revised to include the latest Python features, improved explanations, and new chapters about databases and sound files. If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised edition of the best-selling classic Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. You'll learn the basics of coding in Python and explore the language’s’s rich library of modules for performing specific tasks, like scraping data from websites, searching for text across multiple files, and merging, watermarking, or encrypting PDFs. The third edition includes: <ul><li>Expanded coverage of developer techniques, like creating command line programs</li><li>Updated examples and new projects</li><li>Additional chapters about working with SQLite databases, speech-recognition technology, video and audio editing, and text-to-speech capabilities</li><li>Simplified explanations (based on reader feedback) of beginner programming concepts, like loops and conditionals</li></ul> Even if you've never written a line of code, Automate the Boring Stuff with Python, 3rd Edition will teach you how to make your computer take on tedious tasks and do all your grunt work—the way it should be!

Automate the Boring Stuff with Python, 3rd Edition

Unlock the power of Python in ArcGIS® Pro with this definitive, easy-to-follow guide designed for users with limited programming or scripting experience.Get started learning to write Python scripts to automate tasks in ArcGIS Pro with Python Scripting for ArcGIS Pro. This book begins with the fundamentals of Python programming and then dives into how to write useful Python scripts that work with spatial data in ArcGIS Pro. You’ll learn how to use geoprocessing tools; describe, create, and update data; and execute specialized tasks. With step-by-step instructions, practical examples, and insightful guidance, you’ll be able to write scripts that will automate and improve your ArcGIS Pro workflows.Helpful points to remember, key terms, and review questions are included at the end of each chapter to reinforce your understanding of Python. Corresponding data and tutorials are available online. This third edition has been updated for ArcGIS Pro 3.2 and Python 3.9.18 and includes updated images, a fully updated chapter 2, and expanded chapters 4, 8, 9, and 10.Whether you’re new to Python or already have some experience, Python Scripting for ArcGIS Pro is the go-to resource for learning the versatility of Python coding to solve problems and enhance productivity and efficiency in ArcGIS Pro.Dr. Paul A. Zandbergen is a professor in the GIS program at Vancouver Island University. His research focuses on the robustness of spatial analytical techniques in crime analysis, environmental science, public health, spatial ecology, and water resources. His research has been funded by the National Science Foundation, the National Institute of Justice, and the National Institutes of Health. In addition to this book and Advanced Python Scripting for ArcGIS, he has published over 50 journal articles and book chapters. He lives with his family in Vancouver, British Columbia, Canada.

Unlock the power of Python in ArcGIS Pro with Python Scripting for ArcGIS Pro, the definitive, easy-to-follow guide to writing Python code with spatial data in ArcGIS Pro.

Python Scripting for ArcGIS Pro

The quick and crystal-clear guide to C++ programming C++ Essentials For Dummies is your useful reference to the key concepts of C++, the popular general-purpose language utilized everywhere from building games to writing parts of operating systems. With minimal review and background material--and absolutely no fluff--this book gets straight to the essential topics you need to know to ramp up, brush up, or level up. <ul> <li>Get a helpful intro to the basic concepts of coding in C++</li> <li>Review what you already know or pick up essential new skills</li> <li>Create projects that run smoothly with the C++ language</li> <li>Keep this concise reference book handy for jogging your memory as you work</li> </ul> Great for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, C++ Essentials For Dummies is a fantastic refresher guide that you can always turn to for answers.

C++ Essentials For Dummies

Programming Language Pragmatics is the most comprehensive programming language textbook available today, with nearly 1000 pages of content in the book, plus hundreds more pages of reference materials and ancillaries online. Michael Scott takes theperspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation. In an approachable, readable style, he discusses more than 50 languages in the context of understanding how code isinterpreted or compiled, providing an organizational framework for learning new languages, regardless of platform. This edition has been thoroughly updated to cover the most recent developments in programming language design and provides both a solid understanding of the most important issues driving software development today

Programming Language Pragmatics

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools-just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

Advanced Topics in Types and Programming Languages

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

Weitere Titel zum Thema