The goal of this book is to introduce readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks. The code samples and scripts use the bash shell, and typically involve very small text files so that you can focus on understanding the features of grep, sed, and awk. In the simplest terms, grep (global regular expression print) will search input files in data for certain words or word patterns and print the lines that match it. sed is useful for changing or modifying data. Awk is a programming language also used for searching a data file for certain patterns, but can also perform certain tasks on the pattern matches it finds. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with these command line utilities. Designed for readers relatively new to working in a bash environment Introduces readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks

As part of the best-selling Pocket Primer series, this book provides an overview of the major aspects and the source code to use the latest versions of Angular 4. It has coverage of the fundamental aspects of Angular that are illustrated via numerous code samples. This Pocket Primer is primarily for self-directed learners who want to learn Angular 4 programming, and it serves as a starting point for deeper exploration of its numerous applications. A companion disc (also available for downloading from the publisher) with source code and color images is included.

Features:

Contains latest material on Angular 4, graphics/animation, mobile apps, Includes companion files with all of the source code and images from the book Provides coverage of the fundamental aspects of Angular4 that are illustrated via code samples

Brief Table of Contents:

1. A Quick Introduction to Angular. 2. UI Controls and User Input. 3. Graphics and Animation. 4. HTTP Requests and Routing. 5. Forms, Pipes, and Services. 6. Angular and Express. 7. Flux, Redux, GraphQL, Apollo, and Relay. 8. Angular and Mobile Apps. 9. Functional Reactive Programming. 10. Miscellaneous Topics. Index.ON THE COMPANION FILES!• Hundreds of source code samples• All images from the text (including 4-color)eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

This book takes a minimalist approach to the traditional data structures course. It covers only those topics that are absolutely essential; the more esoteric structures and algorithms are left for later study. Suitable for an introductory data structures course or self-study, this book is written from the ground up in C++ (not translated from a Java-based text), and uses features of the C++ Standard Template Library to illustrate important concepts. A unique feature of the text is its use of literate programming techniques (originally developed by Donald Knuth) to present the sample code in a way that keeps the code from overwhelming the accompanying explanations. This book is suitable for an undergraduate data structures course using C++ or for developers needing review.

Features:

Takes a “minimalist” approach to the material that presents only essential concepts. This enables readers to focus on (and remember) just what they’ll need Uses select features of the C++11 standard to simplify the sample code and make it easier to understand Connects the concepts directly to the classes provided the Standard Template Library (STL), and shows how these classes can be implemented in C++ Uses “literate programming” techniques that allow the presentation of the sample code to more clearly show the details of the code as well as how the pieces fit together

As part of the best selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of Python 3 to be able to work on their own projects. In addition to covering all of the basic concepts, the book features a chapter on PyGame, which allows a programmer to handle graphics, mouse and keyboard interaction, and play sounds and videos. The demonstration example for that chapter is a Lunar Lander game. Another feature is the chapter on communication, which makes use of one of Python’s best features: a collection of modules for sending and receiving Email, communicating between computers, and working with Twitter and Web pages. Companion files that accompany this book contain all of the code examples as complete working programs. This means that there is no need to key them in, so they can be executed and perhaps modified or expanded.

Features:

Features a chapter on PyGame, which allows a programmer to handle graphics, mouse / keyboard interaction, and play sounds and videos Explores communication in depth, making use of one of Python’s best features: a collection of modules for sending and receiving Email, communicating between computers, and working with Twitter and Web pages. Companion files contain all of the code examples as complete working programs

On the Companion Files:(also available from the publisher for downloading by emailing info@merclearning.com)

(Source code samples All images from the text (including 4-color)

As part of the best selling Pocket Primer series, this book provides an overview of the major aspects and the source code to use the latest versions of Android. It has coverage of the fundamental aspects of Android that are illustrated via code samples for versions 4.x through 7.x and features the Google Pixel phone. This Pocket Primer is primarily for self-directed learners who want to learn Android programming and it serves as a starting point for deeper exploration of its numerous applications. Companion disc (also available for downloading from the publisher) with source code, images, and appendices.

Features:

Contains latest material on Android VR, graphics/animation, apps, and features the new Google Pixel phone Includes companion files with all of the source code, appendices, and images from the book Provides coverage of the fundamental aspects of Android that are illustrated via code samples for versions 4.x through 7.x

On the Companion Files:

Source code samples All images from the text (including 4-color) Appendices (see Table of Contents)

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).

As part of the bestselling Pocket Primer series, the goal of this book is to introduce readers to regular expressions in several technologies. It is intended for data scientists, data analysts, and others who want to understand regular expressions to perform various tasks. You will acquire an understanding of how to create an assortment of regular expressions, such as filtering data for strings containing uppercase or lowercase letters; matching integers, decimals, hexadecimal, and scientific numbers; and context-dependent pattern matching expressions. It includes REs with Python, R, bash, Perl, Java, and more. Companion files with source code are available for downloading from the publisher.

Features:

Uses REs with Python, R, bash, Java, and more Packed with realistic examples and numerous commands 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)

ON THE COMPANION FILES(available from the publisher for downloading)• Source code samples

As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources.

Companion files with source code are available for downloading from the publisher by writing info@merclearning.com.

Features:

A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.xContains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topicsIncludes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operatorsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher)

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 samplesCovers TensorFlow APIs and DatasetsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher)

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.

This book was designed for someone like you who needs to master Access programming fundamentals without spending too much time. All you need is a short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Access programming will also apply to, say, Excel programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Access 2019.

Features:

Includes a companion disc with all of the “Hands-On” files needed to complete the chapter projects and all the images from the text (also available from the publisher by emailing info@merclearning.com) Introduces you to programming Microsoft Access 2019

This book was designed for someone like you who needs to master Excel programming fundamentals without spending too much time. All you need is a short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Excel programming will also apply to, say, Access programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Excel 2019.

Features:

Includes a companion disc with all of the “Hands-On” files needed to complete the chapter projects and all the images from the textIntroduces you to programming Microsoft Excel 2019

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 samplesCovers TensorFlow 2 APIs and DatasetsIncludes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMsFeatures the companion files with all of the source code examples and figures (download from the publisher)

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. It includes code samples and numerous figures and covers topics such as Angular functionality, basic machine learning concepts, classification algorithms, TensorFlow and Keras. The files with code and color figures are on the companion disc with the book or available from the publisher.

Features:

Introduces the basic machine learning concepts and Angular applications Includes source code and full color figures

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of several popular deep learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 10 functionality, basic deep learning concepts, classification algorithms, TensorFlow, and Keras. Companion files with code and color figures are included.

Features:

Introduces basic deep learning concepts and Angular 10 applications Covers MLPs (MultiLayer Perceptrons) and CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), GRUs (Gated Recurrent Units), autoencoders, and GANs (Generative Adversarial Networks) Introduces TensorFlow 2 and Keras Includes companion files with source code and 4-color figures.The companion files are also available online by emailing the publisher with proof of purchase at info@merclearning.com.

As part of the best-selling Pocket Primer series, this book is designed to introduce readers to an assortment of useful command-line utilities that can be combined to create simple, yet powerful shell scripts. While all examples and scripts use the “bash” command set, many of the concepts translate into other command shells (such as sh, ksh, zsh, and csh), including the concept of piping data between commands and the highly versatile sed and awk commands. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new techniques to those who already have some experience with creating shell scripts. It contains a variety of code fragments and shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text files. In addition, the concepts and code samples in this book are useful for people who want to simplify routine tasks. Includes companion files with all of the source code examples (download from the publisher by writing to info@merclearning.com). Features: Takes introductory concepts and commands in bash, and then demonstrates their uses in simple, yet powerful shell scriptsContains an assortment of shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text filesIncludes companion files with all of the source code examples (available for download from the publisher)

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

The goal of this book is to introduce readers to an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts. While all examples and scripts use the “bash” command set, many of the concepts translate into other forms of shell scripting (ksh, sh, csh), including the concept of piping data between commands, regular expression substitution and the sed and awk commands. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with creating shells scripts.

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

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

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available.

Features:

Includes a concise introduction to Python 3 and linear algebra Provides a thorough introduction to data visualization and regular expressions Covers NumPy, Pandas, R, and SQL Introduces probability and statistical concepts Features numerous code samples throughout Companion files with source code and figuresThe companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.

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.

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

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

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

As part of the successful Pocket Primer series, this book was designed for someone like you who needs to master Access programming fundamentals without spending too much time. All you need is this short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Access programming will also apply to, say, Excel programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Access 2021.

Features:

Includes a companion disc with all of the “Hands-On” files needed to complete the chapter projects and all the images from the text (files available from the publisher by emailing info@merclearning.com with proof of purchase) Introduces you to using the VBA programming language in Microsoft Access 2021.

As part of the successful Pocket Primer series, this book was designed for someone like you who needs to master Excel programming fundamentals without spending too much time. All you need is a short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Excel programming will also apply to, say, Access programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Excel 2021.

Features:

Includes a companion disc with all of the “Hands-On” files needed to complete the chapter projects and all the images from the text (also available from the publisher by writing to info@merclearning.com Introduces you to using the VBA programming language in Microsoft Excel 2021.

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 HTML5. DVD with code, videos, and graphics included.eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.Table of Contents:1. HTML5 Semantic Markup. 2. Introduction to CSS3. 3. SVG Essentials. 4. Introduction to HTML5 Canvas. 5. Media and Hardware Support HTML5. 6. Storage, Databases, GeoLocation, and Offline Apps. 7. Browser-Server Communication. 8. Miscellaneous HTML5 APIs. 9. HTML5 Mobile Apps on Android and iOS. 10. jQuery Concepts. Appendix A. jQuery Concepts (Part 2). Appendix B. Introduction to Android.

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

The goal of this book is to introduce readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks. The code samples and scripts use the bash shell, and typically involve very small text files so that you can focus on understanding the features of grep, sed, and awk. In the simplest terms, grep (global regular expression print) will search input files in data for certain words or word patterns and print the lines that match it. sed is useful for changing or modifying data. Awk is a programming language also used for searching a data file for certain patterns, but can also perform certain tasks on the pattern matches it finds. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with these command line utilities. Designed for readers relatively new to working in a bash environment Introduces readers to three powerful command line utilities that can be combined to create simple yet powerful shell scripts for performing a multitude of tasks

As part of the best-selling Pocket Primer series, this book provides an overview of the major aspects and the source code to use the latest versions of Angular 4. It has coverage of the fundamental aspects of Angular that are illustrated via numerous code samples. This Pocket Primer is primarily for self-directed learners who want to learn Angular 4 programming, and it serves as a starting point for deeper exploration of its numerous applications. A companion disc (also available for downloading from the publisher) with source code and color images is included.

Features:

Contains latest material on Angular 4, graphics/animation, mobile apps, Includes companion files with all of the source code and images from the book Provides coverage of the fundamental aspects of Angular4 that are illustrated via code samples

Brief Table of Contents:

1. A Quick Introduction to Angular. 2. UI Controls and User Input. 3. Graphics and Animation. 4. HTTP Requests and Routing. 5. Forms, Pipes, and Services. 6. Angular and Express. 7. Flux, Redux, GraphQL, Apollo, and Relay. 8. Angular and Mobile Apps. 9. Functional Reactive Programming. 10. Miscellaneous Topics. Index.ON THE COMPANION FILES!• Hundreds of source code samples• All images from the text (including 4-color)eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

This book takes a minimalist approach to the traditional data structures course. It covers only those topics that are absolutely essential; the more esoteric structures and algorithms are left for later study. Suitable for an introductory data structures course or self-study, this book is written from the ground up in C++ (not translated from a Java-based text), and uses features of the C++ Standard Template Library to illustrate important concepts. A unique feature of the text is its use of literate programming techniques (originally developed by Donald Knuth) to present the sample code in a way that keeps the code from overwhelming the accompanying explanations. This book is suitable for an undergraduate data structures course using C++ or for developers needing review.

Features:

Takes a “minimalist” approach to the material that presents only essential concepts. This enables readers to focus on (and remember) just what they’ll need Uses select features of the C++11 standard to simplify the sample code and make it easier to understand Connects the concepts directly to the classes provided the Standard Template Library (STL), and shows how these classes can be implemented in C++ Uses “literate programming” techniques that allow the presentation of the sample code to more clearly show the details of the code as well as how the pieces fit together

As part of the best selling Pocket Primer series, this book is an effort to give programmers sufficient knowledge of Python 3 to be able to work on their own projects. In addition to covering all of the basic concepts, the book features a chapter on PyGame, which allows a programmer to handle graphics, mouse and keyboard interaction, and play sounds and videos. The demonstration example for that chapter is a Lunar Lander game. Another feature is the chapter on communication, which makes use of one of Python’s best features: a collection of modules for sending and receiving Email, communicating between computers, and working with Twitter and Web pages. Companion files that accompany this book contain all of the code examples as complete working programs. This means that there is no need to key them in, so they can be executed and perhaps modified or expanded.

Features:

Features a chapter on PyGame, which allows a programmer to handle graphics, mouse / keyboard interaction, and play sounds and videos Explores communication in depth, making use of one of Python’s best features: a collection of modules for sending and receiving Email, communicating between computers, and working with Twitter and Web pages. Companion files contain all of the code examples as complete working programs

On the Companion Files:(also available from the publisher for downloading by emailing info@merclearning.com)

(Source code samples All images from the text (including 4-color)

As part of the best selling Pocket Primer series, this book provides an overview of the major aspects and the source code to use the latest versions of Android. It has coverage of the fundamental aspects of Android that are illustrated via code samples for versions 4.x through 7.x and features the Google Pixel phone. This Pocket Primer is primarily for self-directed learners who want to learn Android programming and it serves as a starting point for deeper exploration of its numerous applications. Companion disc (also available for downloading from the publisher) with source code, images, and appendices.

Features:

Contains latest material on Android VR, graphics/animation, apps, and features the new Google Pixel phone Includes companion files with all of the source code, appendices, and images from the book Provides coverage of the fundamental aspects of Android that are illustrated via code samples for versions 4.x through 7.x

On the Companion Files:

Source code samples All images from the text (including 4-color) Appendices (see Table of Contents)

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).

As part of the bestselling Pocket Primer series, the goal of this book is to introduce readers to regular expressions in several technologies. It is intended for data scientists, data analysts, and others who want to understand regular expressions to perform various tasks. You will acquire an understanding of how to create an assortment of regular expressions, such as filtering data for strings containing uppercase or lowercase letters; matching integers, decimals, hexadecimal, and scientific numbers; and context-dependent pattern matching expressions. It includes REs with Python, R, bash, Perl, Java, and more. Companion files with source code are available for downloading from the publisher.

Features:

Uses REs with Python, R, bash, Java, and more Packed with realistic examples and numerous commands 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)

ON THE COMPANION FILES(available from the publisher for downloading)• Source code samples

As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources.

Companion files with source code are available for downloading from the publisher by writing info@merclearning.com.

Features:

A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.xContains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topicsIncludes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operatorsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher)

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 samplesCovers TensorFlow APIs and DatasetsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher)

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.

This book was designed for someone like you who needs to master Access programming fundamentals without spending too much time. All you need is a short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Access programming will also apply to, say, Excel programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Access 2019.

Features:

Includes a companion disc with all of the “Hands-On” files needed to complete the chapter projects and all the images from the text (also available from the publisher by emailing info@merclearning.com) Introduces you to programming Microsoft Access 2019

This book was designed for someone like you who needs to master Excel programming fundamentals without spending too much time. All you need is a short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Excel programming will also apply to, say, Access programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Excel 2019.

Features:

Includes a companion disc with all of the “Hands-On” files needed to complete the chapter projects and all the images from the textIntroduces you to programming Microsoft Excel 2019

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 samplesCovers TensorFlow 2 APIs and DatasetsIncludes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMsFeatures the companion files with all of the source code examples and figures (download from the publisher)

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. It includes code samples and numerous figures and covers topics such as Angular functionality, basic machine learning concepts, classification algorithms, TensorFlow and Keras. The files with code and color figures are on the companion disc with the book or available from the publisher.

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Introduces the basic machine learning concepts and Angular applications Includes source code and full color figures

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of several popular deep learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 10 functionality, basic deep learning concepts, classification algorithms, TensorFlow, and Keras. Companion files with code and color figures are included.

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Introduces basic deep learning concepts and Angular 10 applications Covers MLPs (MultiLayer Perceptrons) and CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), GRUs (Gated Recurrent Units), autoencoders, and GANs (Generative Adversarial Networks) Introduces TensorFlow 2 and Keras Includes companion files with source code and 4-color figures.The companion files are also available online by emailing the publisher with proof of purchase at info@merclearning.com.

As part of the best-selling Pocket Primer series, this book is designed to introduce readers to an assortment of useful command-line utilities that can be combined to create simple, yet powerful shell scripts. While all examples and scripts use the “bash” command set, many of the concepts translate into other command shells (such as sh, ksh, zsh, and csh), including the concept of piping data between commands and the highly versatile sed and awk commands. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new techniques to those who already have some experience with creating shell scripts. It contains a variety of code fragments and shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text files. In addition, the concepts and code samples in this book are useful for people who want to simplify routine tasks. Includes companion files with all of the source code examples (download from the publisher by writing to info@merclearning.com). Features: Takes introductory concepts and commands in bash, and then demonstrates their uses in simple, yet powerful shell scriptsContains an assortment of shell scripts for data scientists, data analysts, and other people who want shell-based solutions to “clean” various types of text filesIncludes companion files with all of the source code examples (available for download from the publisher)

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.

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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

The goal of this book is to introduce readers to an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts. While all examples and scripts use the “bash” command set, many of the concepts translate into other forms of shell scripting (ksh, sh, csh), including the concept of piping data between commands, regular expression substitution and the sed and awk commands. Aimed at a reader relatively new to working in a bash environment, the book is comprehensive enough to be a good reference and teach a few new tricks to those who already have some experience with creating shells scripts.

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

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

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available.

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Includes a concise introduction to Python 3 and linear algebra Provides a thorough introduction to data visualization and regular expressions Covers NumPy, Pandas, R, and SQL Introduces probability and statistical concepts Features numerous code samples throughout Companion files with source code and figuresThe companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.

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.

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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.

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

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

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

As part of the successful Pocket Primer series, this book was designed for someone like you who needs to master Access programming fundamentals without spending too much time. All you need is this short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Access programming will also apply to, say, Excel programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Access 2021.

Features:

Includes a companion disc with all of the “Hands-On” files needed to complete the chapter projects and all the images from the text (files available from the publisher by emailing info@merclearning.com with proof of purchase) Introduces you to using the VBA programming language in Microsoft Access 2021.

As part of the successful Pocket Primer series, this book was designed for someone like you who needs to master Excel programming fundamentals without spending too much time. All you need is a short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Excel programming will also apply to, say, Access programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Excel 2021.

Features:

Includes a companion disc with all of the “Hands-On” files needed to complete the chapter projects and all the images from the text (also available from the publisher by writing to info@merclearning.com Introduces you to using the VBA programming language in Microsoft Excel 2021.

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 HTML5. DVD with code, videos, and graphics included.eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.Table of Contents:1. HTML5 Semantic Markup. 2. Introduction to CSS3. 3. SVG Essentials. 4. Introduction to HTML5 Canvas. 5. Media and Hardware Support HTML5. 6. Storage, Databases, GeoLocation, and Offline Apps. 7. Browser-Server Communication. 8. Miscellaneous HTML5 APIs. 9. HTML5 Mobile Apps on Android and iOS. 10. jQuery Concepts. Appendix A. jQuery Concepts (Part 2). Appendix B. Introduction to Android.

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