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  Modeling and Simulation in Python (eBook, PDF)

  The use of Python as a powerful computational tool is expanding with great strides. Python is a language which is easy to use, and the libraries of tools provides it with efficient versatility. As the tools continue to expand, users can create insightful models and simulations. While the tools offer an easy method to create a pipeline, such constructions are not guaranteed to provide correct results. A lot of things can go wrong when building a simulation - deviously so. Users need to understand more than just how to build a process pipeline. Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, virus spread, and Chess. Key Features: Several theories and applications are provided, each with working Python scripts. All Python functions written for this book are archived on GitHub. Readers do not have to be Python experts, but a working knowledge of the language is required. Students who want to know more about the foundations of modeling and simulation will find this an educational and foundational resource.

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  • Price: 64.95 EUR excl. shipping
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  Modeling and Simulation in Python (eBook, ePUB)

  The use of Python as a powerful computational tool is expanding with great strides. Python is a language which is easy to use, and the libraries of tools provides it with efficient versatility. As the tools continue to expand, users can create insightful models and simulations. While the tools offer an easy method to create a pipeline, such constructions are not guaranteed to provide correct results. A lot of things can go wrong when building a simulation - deviously so. Users need to understand more than just how to build a process pipeline. Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, virus spread, and Chess. Key Features: Several theories and applications are provided, each with working Python scripts. All Python functions written for this book are archived on GitHub. Readers do not have to be Python experts, but a working knowledge of the language is required. Students who want to know more about the foundations of modeling and simulation will find this an educational and foundational resource.

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  • Price: 64.95 EUR excl. shipping
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  Quantum Computing: An Applied Approach

  This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the first to bring these elements together in an updated manner. This work is suitable for both academic coursework and corporate technical training.The second edition includes extensive updates and revisions, both to textual content and to the code. Sections have been added on quantum machine learning, quantum error correction, Dirac notation and more. This new edition benefits from the input of the many faculty, students, corporate engineering teams, and independent readers who have used the first edition.This volume comprises three books under one cover: Part I outlines the necessary foundations of quantum computing and quantum circuits. Part II walks through the canon of quantum computing algorithms and provides code on a range of quantum computing methods in current use. Part III covers the mathematical toolkit required to master quantum computing. Additional resources include a table of operators and circuit elements and a companion GitHub site providing code and updates.Jack D. Hidary is a research scientist in quantum computing and in AI at Alphabet X, formerly Google X.

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  • Price: 25.99 EUR excl. shipping
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  Agile Visualization with Pharo: Crafting Interactive Visual Support Using Roassal

  Use the Pharo interactive development environment to significantly reduce the cost of creating interactive visualizations. This book shows how Pharo leverages visualization development against traditional frameworks and toolkits.Agile Visualization with Pharo focuses on the Roassal visualization engine and first presents the basic and necessary tools to visualize data, including an introduction to the Pharo programming language. Once you've grasped the basics, you'll learn all about the development environment offered by Roassal. The book provides numerous ready-to-use examples. You'll work on several applications, including visualizing the training phase of reinforcement learning (a powerful machine learning algorithm) and generating software visualizations from GitHub.This book covers aspects that are relevant for engineers and academics to successfully design and implement interactive visualizations.What You Will LearnImplement agile data visualization using the Pharo programming languageChart, plot, and curve using GrapherBuild and draw graphs using MondrianImplement reinforcement learning (Q-Learning, from scratch) and use visualizations to monitor learning and state explorationUse GitHub Action to generate software visualizations (UML class diagram, test coverage) at each commit Who This Book Is ForProgrammers with some prior exposure to data visualization and computer vision who may be new to the Pharo programming language. This book is also for those with some Pharo experience looking to apply it to data visualization.

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  • Price: 34.99 EUR excl. shipping
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  Datenanalyse mit Python (eBook, ePUB)

  Erfahren Sie alles uber das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensatzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv losen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begrunder des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl fur Datenanalysten, fur die Python Neuland ist, als auch fur Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehoriges Material des Buchs sind auf GitHub verfugbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook fur das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenfuhren und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensatzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFur diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einfuhrung in statsmodels und scikit-learn.

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  • Price: 31.99 EUR excl. shipping
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  Datenanalyse mit Python (eBook, PDF)

  Erfahren Sie alles uber das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensatzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv losen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begrunder des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl fur Datenanalysten, fur die Python Neuland ist, als auch fur Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehoriges Material des Buchs sind auf GitHub verfugbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook fur das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenfuhren und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensatzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFur diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einfuhrung in statsmodels und scikit-learn.

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  • Price: 31.99 EUR excl. shipping
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  Algorithms for Dummies

  Your secret weapon to understanding--and using!--one of the most powerful influences in the world todayFrom your Facebook News Feed to your most recent insurance premiums--even making toast!--algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand--and even use--these powerful problem-solving tools!In Algorithms For Dummies, you'll discover the basics of algorithms, including what they are, how they work, where you can find them (spoiler alert: everywhere!), who invented the most important ones in use today (a Greek philosopher is involved), and how to create them yourself.You'll also find:* Dozens of graphs and charts that help you understand the inner workings of algorithms* Links to an online repository called GitHub for constant access to updated code* Step-by-step instructions on how to use Google Colaboratory, a zero-setup coding environment that runs right from your browserWhether you're a curious internet user wondering how Google seems to always know the right answer to your question or a beginning computer science student looking for a head start on your next class, Algorithms For Dummies is the can't-miss resource you've been waiting for.

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  • Price: 25.99 EUR excl. shipping
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  Cross-Plattform-Apps mit Xamarin.Forms entwickeln (eBook, PDF)

  .Praktischer Leitfaden für den schnellen Einstieg .Vermittelt auch spezielleres Wissen, z. B. zur Datenbankanbindung oder zu wiederverwendbarem Code .Die Xamarin.Forms-App für .NET MAUI fit machen .Mit durchgängigem Beispiel .Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten Buches Sie möchten Apps entwickeln, die sowohl auf iOS als auch auf Android nativ lauffähig sind? Schritt für Schritt führt André Krämer (Microsoft MVP) Sie in die Welt der Cross-Plattform-Entwicklung mit Xamarin.Forms und C# ein. Von der einheitlichen Codebasis über die Oberflächengestaltung und Datenbankanbindung bis zum Zugriff auf Geräte-APIs lernen Sie hier alles, um plattformübergreifende Apps zu entwickeln. Im Laufe der Lektüre dieses Buches programmieren Sie eine Beispiel-App für ein fiktives Restaurant und vertiefen dabei das in den Kapiteln erworbene Wissen. Das Buch setzt Grundkenntnisse in der Programmierung mit C# voraus. Erfahrung mit XAML ist von Vorteil, jedoch nicht erforderlich. Sämtliche Beispiele des Buchs finden Sie im zugehörigen GitHub-Repository. AUS DEM INHALT // Schnelleinstieg: Ihre erste App mit Xamarin.Forms in einer Stunde/Überblick über Xamarin.Android, Xamarin.iOS und Xamarin.Forms/Architektur von Cross-Plattform-Apps/Oberflächendesign mit Layoutcontainern/Eingabeformulare anlegen/Navigation und die Xamarin.Forms Shell/Listen/Bilder, Icons und Schriftarten/Styles und Themes in Xamarin.Forms/Aufruf von Webservices/Lokale Datenhaltung/Xamarin.Essentials

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  • Price: 29.99 EUR excl. shipping
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  Luminescence Signal Analysis Using Python (eBook, PDF)

  This book compiles and presents a complete package of open-access Python software code for luminescence signal analysis in the areas of radiation dosimetry, luminescence dosimetry, and luminescence dating. Featuring more than 90 detailed worked examples of Python code, fully integrated into the text, 16 chapters summarize the theory and equations behind the subject matter, while presenting the practical Python codes used to analyze experimental data and extract the various parameters that mathematically describe the luminescence signals. Several examples are provided of how researchers can use and modify the available codes for different practical situations. Types of luminescence signals analyzed in the book are thermoluminescence (TL), isothermal luminescence (ITL), optically stimulated luminescence (OSL), infrared stimulated luminescence (IRSL), timeresolved luminescence (TR) and dose response of dosimetric materials. The open-access Python codes are available at GitHub. The book is well suited to the broader scientific audience using the tools of luminescence dosimetry: physicists, geologists, archaeologists, solid-state physicists, medical physicists, and all scientists using luminescence dosimetry in their research. The detailed code provided allows both students and researchers to be trained quickly and efficiently on the practical aspects of their work, while also providing an overview of the theory behind the analytical equations.

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  • Price: 105.95 EUR excl. shipping
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  Black Hat Python

  Fully-updated for Python 3, the second edition of this worldwide bestseller (over 100,000 copies sold) explores the stealthier side of programming and brings you all new strategies for your hacking projects.When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. In this second edition of the bestselling Black Hat Python, you ll explore the darker side of Python s capabilities: everything from writing network sniffers, stealing email credentials, and bruteforcing directories to crafting mutation fuzzers, investigating virtual machines, and creating stealthy trojans.All of the code in this edition has been updated to Python 3.x. You ll also find new coverage of bit shifting, code hygiene, and offensive forensics with the Volatility Framework as well as expanded explanations of the Python libraries ctypes, struct, lxml, and BeautifulSoup, and offensive hacking strategies like splitting bytes, leveraging computer vision libraries, and scraping websites.You ll even learn how to: Create a trojan command-and-control server using GitHub Detect sandboxing and automate common malware tasks like keylogging and screenshotting Extend the Burp Suite web-hacking tool Escalate Windows privileges with creative process control Use offensive memory forensics tricks to retrieve password hashes and find vulnerabilities on a virtual machine Abuse Windows COM automation Exfiltrate data from a network undetectedWhen it comes to offensive security, you need to be able to create powerful tools on the fly. Learn how with Black Hat Python.

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  • Price: 27.99 EUR excl. shipping

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