OSWALD CAMPESATO's Books

Pro Android Flash

By: Stephen Chin,Dean Iverson,Oswald Campesato,Paul Trani

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Pro Android Flash

By: Stephen Chin,Dean Iverson,Oswald Campesato,Paul Trani

Did you know you can take your Flash skills beyond the browser, allowing you to make apps for Android, iOS and the BlackBerry Tablet OS? Build dynamic apps today starting with the easy-to-use Android smartphones and tablets. Then, take your app to other platforms without writing native code. Pro Android Flash is the definitive guide to building Flash and other rich Internet applications (RIAs) on the Android platform. It covers the most popular RIA frameworks for Android developers—Flash and Flex—and shows how to build rich, immersive user experiences on both Android smartphones and tablets. You'll learn how to incorporate multimedia, animation, and special effects into your apps for maximum visual appeal. You'll also cover advanced topics, including input methods, hardware inputs, deployment, and performance optimization.

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Page Count

462

Publisher

Apress

Published Date

ISBN 10

1430232323

ISBN 13

9781430232322

jQuery Pocket Primer

By: Oswald Campesato

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jQuery Pocket Primer

By: Oswald Campesato

As part of the new Pocket Primer series, this book provides an overview of the major aspects, the source code, and tutorial videos to use jQuery. DVD with code, videos, and graphics included. Features: • Integrated coverage of CSS3, jQuery and other important JS toolkits • Covers jQuery Mobile and HTML5 hybrid mobile apps • Covers BackboneJS and Twitter Bootstrap • Includes companion DVD with source code, tutorial videos, and 4-color graphics

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Page Count

248

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1938549171

ISBN 13

9781938549175

TensorFlow Pocket Primer

By: Oswald Campesato

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TensorFlow Pocket Primer

By: Oswald Campesato

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by writing to info@merclearning.com. Features: Uses Python for code samples Covers TensorFlow APIs and Datasets Assumes the reader has very limited experience Companion files with all of the source code examples (download from the publisher)

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Page Count

281

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683923650

ISBN 13

9781683923657

Python 3 Data Visualization Using Google Gemini

By: Oswald Campesato

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Python 3 Data Visualization Using Google Gemini

By: Oswald Campesato

This book offers a comprehensive guide to leveraging Python-based data visualization techniques with the innovative capabilities of Google Gemini. Tailored for individuals proficient in Python seeking to enhancetheir visualization skills, it explores essential libraries like Pandas, Matplotlib, and Seaborn, along with insights into the innovative Gemini platform. With a focus on practicality and efficiency, it delivers a rapid yet thorough exploration of data visualization methodologies, supported by Gemini-generated code samples. Companion files with source code and figures are available for downloading. FEATURES: Covers Python-based data visualization libraries and techniques Includes practical examples and Gemini-generated code samples for efficient learning Integrates Google Gemini for advanced data visualization capabilities Sets up a conducive development environment for a seamless coding experience Includes companion files for downloading with source code and figures

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Page Count

200

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

1501519794

ISBN 13

9781501519796

Data Cleaning Pocket Primer

By: Oswald Campesato

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Data Cleaning Pocket Primer

By: Oswald Campesato

As part of the best selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of data cleaning to be able to work on their own projects. It is designed as a practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks. The book is packed with realistic examples and numerous commands that illustrate both the syntax and how the commands work together. Companion files with source code are available for downloading from the publisher. Features: - A practical introduction to using flexible, powerful (and free) Unix / Linux shell commands to perform common data cleaning tasks - Includes the concept of piping data between commands, regular expression substitution, and the sed and awk commands - Packed with realistic examples and numerous commands that illustrate both the syntax and how the commands work together - Assumes the reader has no prior experience, but the topic is covered comprehensively enough to teach a pro some new tricks - Includes companion files with all of the source code examples (download from the publisher).

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239

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683922182

ISBN 13

9781683922186

CSS3 and SVG With Perplexity

By: Oswald Campesato

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CSS3 and SVG With Perplexity

By: Oswald Campesato

This book provides an introduction to generative AI and how to use Perplexity to generate graphics code using various combinations of HTML, CSS3, and SVG. It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like Perplexity to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource. FEATURES: Covers generative AI fundamentals to advanced CSS3 and SVG techniques, offering comprehensive material on modern web development technologies Features both manually created and AI generated code samples, security issues, crafting prompts, and accessibility needs Balances theoretical knowledge and practical examples, so readers gain hands-on experience in implementing AI-driven design solutions using Perplexity-generated code Includes companion files with code, datasets, and images from the book -- available from the publisher for downloading (with proof of purchase)

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Page Count

317

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

150152092X

ISBN 13

9781501520921

GPT-4 For Developers

By: Oswald Campesato

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GPT-4 For Developers

By: Oswald Campesato

This resource is designed to bridge the gap between theoretical understanding and practical application, making it a useful tool for software developers, data scientists, AI researchers, and tech enthusiasts interested in harnessing the power of GPT-4 in Python environments. The book contains an assortment of Python 3.x code samples that were generated by ChatGPT and GPT-4. Chapter 1 provides an overview of ChatGPT and GPT-4, followed by a chapter which contains Python 3.x code samples for solving various programming tasks in Python. Chapter 3 contains code samples for data visualization, and Chapter 4 contains code samples for linear regression. The final chapter covers visualization with Gen AI (Generative AI) and DALL-E. Companion files with source code and figures are available for downloading. FEATURES Offers an all-encompassing view of ChatGPT and GPT-4, from basics to advanced topics, including functionalities, capabilities, and limitations Contains Python 3.x code samples demonstrating the application of GPT-4 in real-world scenarios Provides a forward-looking perspective on Generative AI and its integration with data visualization and DALL-E Includes companion files with source code, data sets, and figures

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Page Count

183

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

1501519042

ISBN 13

9781501519048

Artificial Intelligence, Machine Learning, and Deep Learning

By: Oswald Campesato

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Artificial Intelligence, Machine Learning, and Deep Learning

By: Oswald Campesato

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, TensorFlow 2, and Pandas. Features: Covers an introduction to programming concepts related to AI, machine learning, and deep learning Includes material on Keras, TensorFlow2 and Pandas

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Page Count

314

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683924665

ISBN 13

9781683924661

Pandas Basics

By: Oswald Campesato

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Pandas Basics

By: Oswald Campesato

This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code are available for downloading from the publisher. FEATURES: Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualization Includes an introductory chapter on Python Companion files with code

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314

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683928245

ISBN 13

9781683928249

Large Language Models

An Introduction

By: Oswald Campesato

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Large Language Models

An Introduction

By: Oswald Campesato

This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher.

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Page Count

502

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

150152058X

ISBN 13

9781501520587

Python for Absolute Beginners

By: Oswald Campesato

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Python for Absolute Beginners

By: Oswald Campesato

This book eases you into the foundational aspects of Python 3.x with an extensive range of code samples that illustrate its diverse features. Start with Python tools and installations, and progressively learn intricacies like strings, loops, conditional logic, and much more. The appendices on NumPy and Pandas provide insights into efficient numerical operations, making it a holistic resource for novice programmers. Companion files with code samples are available for downloading from the publisher. FEATURES: Starts with the basics and advancing to complex topics, helping you grasp the essence of Python step-by-step Incorporates a multitude of practical tasks, aiding in reinforcing concepts and honing skills Includes appendices on NumPy and Pandas which furnish a concise introduction to numerical operations in Python, rounding off your beginner's learning curve Companion files with code samples are available for downloading from the publisher

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282

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

1501518690

ISBN 13

9781501518690

Bash for Data Scientists

By: Oswald Campesato

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Bash for Data Scientists

By: Oswald Campesato

This book introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of grep, sed, and awk. Companion files with code are available for downloading from the publisher. FEATURES: Provides the reader with powerful command line utilities that can be combined to create simple yet powerful shell scripts for processing datasets Contains a variety of code fragments and shell scripts for data scientists, data analysts, and those who want shell-based solutions to “clean” various types of datasets Companion files with code

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Page Count

385

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683929713

ISBN 13

9781683929710

Android Pocket Primer

By: Oswald Campesato

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Android Pocket Primer

By: Oswald Campesato

Providing coverage of the fundamental aspects of Android that are illustrated via code samples for versions 4.x through 7.x, this book contains latest material on Android VR, graphics/animation, apps, and features the new Google Pixel phone. --

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314

Published Date

ISBN 10

168392424X

ISBN 13

9781683924241

Python for Programmers

By: Oswald Campesato

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Python for Programmers

By: Oswald Campesato

This book is intended primarily for developers who have little or no experience with Python or Pandas. It contains a fast-paced introduction to Python and Python-based solutions to various tasks. Chapter 1 provides a quick tour of basic Python 3, followed by a chapter that shows how to work with loops and conditional logic in Python. Chapter 3 discusses data structures in Python, followed by a chapter that features code samples for tasks with strings and arrays in Python. Chapter 5 contains concepts in object-oriented programming, along with code samples that illustrate how they are implemented in Python. Chapter 6 introduces recursion and some fundamental topics in combinatorics. Finally, the appendix provides an introduction to Pandas. Companion files with code and figures are available for downloading from the publisher. Features: Provides the reader with basic Python 3 and Pandas programming concepts Companion files with code and figures

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Page Count

431

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683928156

ISBN 13

9781683928157

Python 3 and Feature Engineering

By: Oswald Campesato

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Python 3 and Feature Engineering

By: Oswald Campesato

This book is designed for data scientists, machine learning practitioners, and anyone with a foundational understanding of Python 3.x. In the evolving field of data science, the ability to manipulate and understand datasets is crucial. The book offers content for mastering these skills using Python 3. The book provides a fast-paced introduction to a wealth of feature engineering concepts, equipping readers with the knowledge needed to transform raw data into meaningful information. Inside, you’ll find a detailed exploration of various types of data, methodologies for outlier detection using Scikit-Learn, strategies for robust data cleaning, and the intricacies of data wrangling. The book further explores feature selection, detailing methods for handling imbalanced datasets, and gives a practical overview of feature engineering, including scaling and extraction techniques necessary for different machine learning algorithms. It concludes with a treatment of dimensionality reduction, where you’ll navigate through complex concepts like PCA and various reduction techniques, with an emphasis on the powerful Scikit-Learn framework. FEATURES Includes numerous practical examples and partial code blocks that illuminate the path from theory to application Explores everything from data cleaning to the subtleties of feature selection and extraction, covering a wide spectrum of feature engineering topics Offers an appendix on working with the “awk” command-line utility Features companion files available for downloading with source code, datasets, and figures

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Page Count

257

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

1683929470

ISBN 13

9781683929475

Intermediate Python

By: Oswald Campesato

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Intermediate Python

By: Oswald Campesato

This book provides you with relevant information about using intermediate Python 3.x for a variety of topics, such as comprehensions, iterators, generators, regular expressions, OOP, queues and stacks, and recursion. Each chapter contains an assortment of code samples that illustrate the topics covered in the chapter material. Companion files including code samples are available by writing to the publisher. FEATURES: Covers intermediate Python concepts such as comprehensions, iterators, generators, regular expressions, custom classes, OOP, queues / stacks, recursion, and combinatorics Features companion files with numerous Python code samples

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Page Count

311

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1501518380

ISBN 13

9781501518386

Data Structures in Java

By: Oswald Campesato

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Data Structures in Java

By: Oswald Campesato

This book is a fast-paced introduction to using data structures with Java. Numerous code samples and listings are included to support myriad topics. The first chapter contains a quick introduction to Java, along with Java code samples to check for leap years, find divisors of a number, and work with arrays of strings. The second chapter introduces recursion and usescode samples to check if a positive number is prime, to find the prime divisors of a positive integer, to calculate the GCD (greatest common divisor) and LCM (lowest common multiple) of a pair of positive integers. The third chapter contains Java code samples involving strings and arrays, such as finding binary substrings of a number, checking if strings contain unique characters, counting bits in a range of numbers, and how to compute XOR without using the XOR function. Chapters 4 through 6 include Java code samples involving search algorithms, concepts in linked lists, and tasks involving linked lists. Finally, Chapter 7 discusses data structures called queues and stacks, along with additional Java code samples. FEATURES: Extensive topics, code samples, and scripts related to data structures Covers strings, arrays, queues, and stacks, linked lists, computing the XOR function, checking for unique characters, and more Includes companion files with code samples from the book (available for downloading from the publisher)

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Page Count

247

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

1683929543

ISBN 13

9781683929543

Managing Datasets and Models

By: Oswald Campesato

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Managing Datasets and Models

By: Oswald Campesato

This book contains a fast-paced introduction to data-related tasks in preparation for training models on datasets. It presents a step-by-step, Python-based code sample that uses the kNN algorithm to manage a model on a dataset. Chapter One begins with an introduction to datasets and issues that can arise, followed by Chapter Two on outliers and anomaly detection. The next chapter explores ways for handling missing data and invalid data, and Chapter Four demonstrates how to train models with classification algorithms. Chapter 5 introduces visualization toolkits, such as Sweetviz, Skimpy, Matplotlib, and Seaborn, along with some simple Python-based code samples that render charts and graphs. An appendix includes some basics on using awk. Companion files with code, datasets, and figures are available for downloading. FEATURES: Covers extensive topics related to cleaning datasets and working with models Includes Python-based code samples and a separate chapter on Matplotlib and Seaborn Features companion files with source code, datasets, and figures from the book

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Page Count

398

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683929500

ISBN 13

9781683929505

CSS3 and SVG with GPT-4

By: Oswald Campesato

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CSS3 and SVG with GPT-4

By: Oswald Campesato

This book is designed to equip you with the knowledge and skills necessary to navigate the intersection of web development and artificial intelligence (AI). It covers various aspects of modern web development and AI technologies, with a particular emphasis on Generative AI, CSS3, SVG, JavaScript, HTML, and popular web features like 3D animations and gradients. By exploring these topics, readers will gain a deeper understanding of how AI can enhance web development processes and how to leverage AI models like GPT-4 to streamline development workflows. Web developers, UI/UX designers, and software engineers seeking to blend traditional web development skills with the latest AI technologies will find this book to be a valuable resource. FEATURES: Covers generative AI fundamentals to advanced CSS3 and SVG techniques, offering comprehensive material on modern web development technologies Balances theoretical knowledge and practical examples, so readers gain hands-on experience in implementing AI-driven design solutions using GPT-4-generated code. Includes companion files with code, datasets, and images from the book -- available from the publisher for downloading (with proof of purchase)

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Page Count

287

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

1501520156

ISBN 13

9781501520150

SVG

Pocket Primer

By: Oswald Campesato

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SVG

Pocket Primer

By: Oswald Campesato

As part of the Pocket Primer series, this book provides an overview of the major aspects and the source code to use SVG. This Pocket Primer is primarily for self-directed learners who want to learn SVG and it serves as a starting point for deeper exploration of its programming. Features: • Includes companion files with all of the source code and images from the book • Contains material devoted to SVG gradients and filters, graphics, animation, etc., use with CSS3, D3, Angular2, and covers SVG application programming interfaces and other toolkits • Provides a solid introduction to SVG via complete code samples and images Companion Files: • Source code samples • All images from the text (including 4-color)

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Page Count

319

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1944534695

ISBN 13

9781944534691

Statistics Using Python

By: OSWALD. CAMPESATO

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Statistics Using Python

By: OSWALD. CAMPESATO

This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors. The ability to extract meaningful insights from data requires a deep understanding of statistics. The book ensures that each topic is introduced with clarity, followed by executable Python code samples that can be modified and applied according to individual needs. Topics include working with data and exploratoryanalysis, the basics of probability, descriptive and inferential statistics and their applications, metrics for data analysis, probability distributions, hypothesis testing, and more. Appendices on Python and Pandas have been included. From foundational Python concepts to the intricacies of statistics, this book serves as a comprehensive resource for both beginners and seasoned professionals. FEATURES Provides Python code samples to ensure readers can immediately apply what they learn Covers everything from basic data handling to advanced statistical concepts Features downloadable companion files with code samples and figures Includes two appendices, An Introduction to Python and an Introduction to Pandas as refresher material

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Published Date

ISBN 10

1683928806

ISBN 13

9781683928805

TensorFlow 2 Pocket Primer

By: Oswald Campesato

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TensorFlow 2 Pocket Primer

By: Oswald Campesato

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com. Features: Uses Python for code samples Covers TensorFlow 2 APIs and Datasets Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs Features the companion files with all of the source code examples and figures (download from the publisher)

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Page Count

219

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683924592

ISBN 13

9781683924593

Python Data Structures Pocket Primer

By: Oswald Campesato

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Python Data Structures Pocket Primer

By: Oswald Campesato

As part of the best-selling Pocket Primer series, this book is designed to present the fundamentals of data structures using Python. Data structures provide a means to manage huge amounts of information such as large databases and the ability to use search and sort algorithms effectively. It is intended to be a fast-paced introduction to the core concepts of Python and data structures, illustrated with numerous code samples. Companion files with source code are available for downloading. FEATURES: Begins with an introduction to Python, and covers recursion, strings, search and sort, linked lists, stacks, and more Features numerous code samples throughout Includes companion files with source code available for downloading.

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304

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683927559

ISBN 13

9781683927556

Java for Developers Pocket Primer

By: Oswald Campesato

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Java for Developers Pocket Primer

By: Oswald Campesato

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to Java development for people who are relatively new to the Java programming language. It is intended to be a fast-paced introduction to the core concepts of Java and Java APIs, illustrated with code samples using primarily Java 8. Companion files with source code are available. FEATURES: Covers Boolean logic, loops, arrays, recursion, OOP concepts, data structures, streams, SQL, and more Lists new features in Java 9 through Java 13 Features numerous code samples throughout Includes companion files with source code

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Page Count

298

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683925483

ISBN 13

9781683925484

Python 3 and Data Visualization

By: Oswald Campesato

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Python 3 and Data Visualization

By: Oswald Campesato

Python 3 and Data Visualization offers readers a deep dive into the world of Python 3 programming and the art of data visualization. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, seamlessly leading into the world of data visualization using prominent libraries such as Matplotlib. Chapter 6 immerses the reader in Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. The appendix covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. The book also includes companion files with numerous Python code samples and figures. From foundational Python concepts to the intricacies of data visualization, this book serves as a comprehensive resource for both beginners and seasoned professionals. FEATURES: Covers numerous tools for mastering visualization including NumPy, Pandas, SQL, Matplotlib, and Seaborn Includes an introductory chapter on Python 3 basics Features companion files with numerous Python code samples and figures

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Page Count

393

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683929446

ISBN 13

9781683929444

SQL Pocket Primer

By: Oswald Campesato

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SQL Pocket Primer

By: Oswald Campesato

As part of the best-selling Pocket Primer series, this book is primarily for data scientists and machine learning engineers who want to expand their current knowledge of SQL using MySQL as the primary RDBMS. It includes Python-based code samples to access data from a MySQL table in a Pandas data frame and Java-based code samples for accessing data in a MySQL database, along with XML documents and JSON documents. The book also introduces NoSQL, presents an overview of MongoDB, and SQLite--an open-source RDBMS available on mobile devices. The final chapter of the book covers a diverse set of miscellaneous topics, such as normalization, schemas, database optimization, and performance. Numerous code samples and listings are included to support myriad topics. Companion files with source code and figures are available from the publisher. FEATURES: Covers extensive topics related to SQL, using MySQL as the primary RDBMS Introduces NoSQL, presents an overview of MongoDB, and SQLite--an open-source RDBMS available on mobile devices Features companion files with source code and figures from the book

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Page Count

329

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683928121

ISBN 13

9781683928126

Python 3 Using ChatGPT / GPT-4

By: Oswald Campesato

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Python 3 Using ChatGPT / GPT-4

By: Oswald Campesato

This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the “Code Interpreter” plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently. FEATURES Includes a chapter on how to generate a variety of Python 3 code samples via ChatGPT using the “Code Interpreter” plugin Covers basic concepts of Python 3 such as loops, conditional logic, reserved words, user input, manage exceptions, work with command-line arguments, and more Includes companion files for downloading with source code and figures

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Page Count

219

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

1501518798

ISBN 13

9781501518799

Natural Language Processing Using R Pocket Primer

By: Oswald Campesato

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Natural Language Processing Using R Pocket Primer

By: Oswald Campesato

This book is for developers who are looking for an overview of basic concepts in Natural Language Processing using R. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The final chapter presents the Transformer Architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years. Companion files with source code and figures are included and available for downloading by emailing the publisher at info@merclearning.com with proof of purchase. FEATURES: Covers extensive topics related to natural language processing using R Features companion files with source code and figures from the book

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Page Count

300

Publisher

Pocket Primer

Published Date

ISBN 10

1683927303

ISBN 13

9781683927303

Dealing With Data Pocket Primer

By: Oswald Campesato

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Dealing With Data Pocket Primer

By: Oswald Campesato

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computer languages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available. FEATURES: Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization Introduces probability and statistical concepts Features numerous code samples throughout Includes companion files with source code and figures

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Page Count

218

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683928180

ISBN 13

9781683928188

TensorFlow Pocket Primer

By: Oswald Campesato

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TensorFlow Pocket Primer

By: Oswald Campesato

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Page Count

281

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683923650

ISBN 13

9781683923657

Data Literacy With Python

By: Oswald Campesato

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Data Literacy With Python

By: Oswald Campesato

The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modern industries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on. Through detailed, step-by-step Python code examples, the reader will master training models, beginning with the kNN algorithm, and then smoothly transitioning to other classifiers, by tweaking mere lines of code. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced, offering readers a hands-on experience in rendering charts and graphs. Companion files with source code and data sets are available by writing to the publisher. FEATURES: Introduces tools like Sweetviz, Skimpy, Matplotlib, and Seaborn offering readers a hands-on experience in rendering charts and graphs Companion files with numerous Python code samples

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284

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

1501518682

ISBN 13

9781501518683

HTML5 Canvas and CSS3 Graphics Primer

By: Oswald Campesato

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HTML5 Canvas and CSS3 Graphics Primer

By: Oswald Campesato

This book covers the features of HTML5 Canvas, CSS3 graphics, and shows how you can extend the power of CSS3 with SVG. The material in this book is accessible to people who have limited knowledge of HTML and JavaScript. Companion DVD with source code and graphics. While the material is accessible to those with limited knowledge of HTML and JavaScript, but more advanced users will benefit from numerous graphics techniques. The book also includes illustrative code samples and illustrations that are useful for Web developers and SVG/Flash/Silverlight developers. You'll see examples that help you learn to do the following in HTML5 Canvas, CSS3, and SVG: render Bezier curves, apply colors and gradients, transform 2D shapes and JPG files, perform animation effects, create 2D/3D bar charts and line graphs, handle mouse events, render HTML5/CSS3/SVG pages in Android, and learn the mechanics of a Tic-tac-toe game. A companion DVD contains all the source code and color graphics from the book.

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Page Count

417

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

1936420619

ISBN 13

9781936420612

C Programming Pocket Primer

By: Oswald Campesato

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C Programming Pocket Primer

By: Oswald Campesato

As part of the Pocket Primer series, this book provides an overview of the major concepts to program in the language of C. Companion files with source code from the book and figures are included. FEATURES: Provides an overview of the most important C programming techniques Covers up-to-date information regarding the C11 standard Includes two chapters on pointers Contains companion files with source code from the book eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

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Page Count

220

Publisher

Stylus Publishing, LLC

Published Date

ISBN 10

1683923898

ISBN 13

9781683923893

Python 3 and Data Analytics Pocket Primer

By: Oswald Campesato

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Python 3 and Data Analytics Pocket Primer

By: Oswald Campesato

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at info@merclearning.com. FEATURES: Includes a concise introduction to Python 3 Provides a thorough introduction to data and data cleaning Covers NumPy and Pandas Introduces statistical concepts and data visualization (Matplotlib/Seaborn) Features an appendix on regular expressions Includes companion files with source code and figures

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Page Count

390

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683926528

ISBN 13

9781683926528

Python Tools for Data Scientists Pocket Primer

By: Oswald Campesato

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Python Tools for Data Scientists Pocket Primer

By: Oswald Campesato

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available. FEATURES: Introduces Python, NumPy, Sklearn, SciPy, and awk Covers data cleaning tasks and data visualization Features numerous code samples throughout Includes companion files with source code

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Page Count

434

Publisher

Mercury Learning and Information

Published Date

ISBN 10

1683928210

ISBN 13

9781683928218

Book's by OSWALD CAMPESATO

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