Oracle Digital Assistant
Use this book as an on-ramp to the development of enterprise-grade chatbots and digital assistants. It is based on real-life experience and explains everything you need to know to start building your own digital assistant (DA) using Oracle technologies. You will become familiar with the concepts involved in DA development from both a user experience and technical point of view. You will learn to create DAs using Oracle technologies, including the Oracle Digital Assistant Cloud. In the first part of the book, you will learn the basic principles of the digital assistant (AKA Chatbot) technology. You will be guided through the steps involved in designing a DA, including how to make sure that the user receives a satisfying experience when using the assistant. In the second part of the book, you will learn how to implement the digital assistant that was designed in the first part. You will begin with a basic implementation, later enhancing that implementation with agents, multi-language ...
Use this book as an on-ramp to the development of enterprise-grade chatbots and digital assistants. It is based on real-life experience and explains everything you need to know to start building your own digital assistant (DA) using Oracle technologies. You will become familiar with the concepts involved in DA development from both a user experience and technical point of view. You will learn to create DAs using Oracle technologies, including the Oracle Digital Assistant Cloud. In the first part of the book, you will learn the basic principles of the digital assistant (AKA Chatbot) technology. You will be guided through the steps involved in designing a DA, including how to make sure that the user receives a satisfying experience when using the assistant. In the second part of the book, you will learn how to implement the digital assistant that was designed in the first part. You will begin with a basic implementation, later enhancing that implementation with agents, multi-language ...
Python re(gex)?
Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you learn Python Regular Expressions, a mini-programming language for all sorts of text processing needs. The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. You should have prior experience working with Python, should know concepts like string formats, string methods, list comprehension and so on. ...
Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you learn Python Regular Expressions, a mini-programming language for all sorts of text processing needs. The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. You should have prior experience working with Python, should know concepts like string formats, string methods, list comprehension and so on. ...
Practical Apache Lucene 8
Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications. This book explores the Java-based, high-performance text search engine library used to build search capabilities in your applications. Starting with the basics of Lucene and searching, you will learn about the types of queries used in it and also take a look at scoring models. Applying this basic knowledge, you will develop a hello world app using basic Lucene queries and explore functions like scoring and document level boosting. Along the way you will also uncover the concepts of partial searching and matching in Lucene and then learn how to integrate geographical information (geospatial data) in Lucene using spatial queries and n-dimensional indexing. This will prepare you to build a location-aware search engine with a representative data set that allows location constraints to be specified during a search. You'll also develop a text classifier using Lucene and Apache Mahout, ...
Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications. This book explores the Java-based, high-performance text search engine library used to build search capabilities in your applications. Starting with the basics of Lucene and searching, you will learn about the types of queries used in it and also take a look at scoring models. Applying this basic knowledge, you will develop a hello world app using basic Lucene queries and explore functions like scoring and document level boosting. Along the way you will also uncover the concepts of partial searching and matching in Lucene and then learn how to integrate geographical information (geospatial data) in Lucene using spatial queries and n-dimensional indexing. This will prepare you to build a location-aware search engine with a representative data set that allows location constraints to be specified during a search. You'll also develop a text classifier using Lucene and Apache Mahout, ...
Getting Structured Data from the Internet
Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data. Getting Structured Data from the Internet also includes a st ...
Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data. Getting Structured Data from the Internet also includes a st ...
SQL Server 2019 AlwaysOn, 3rd Edition
Get a fast start to using AlwaysOn, the SQL Server solution to high-availability and disaster recovery. This third edition is newly-updated to cover the 2019 editions of both SQL Server and Windows Server and includes strong coverage of implementing AlwaysOn Availability Groups on both Windows and Linux operating systems. The book provides a solid and accurate understanding of how to implement systems requiring consistent and continuous uptime, as well as how to troubleshoot those systems in order to keep them running and reliable. This edition is updated to account for all new major functionality and also includes coverage of implementing atypical configurations, such as clusterless and domain-independent Availability Groups, distributed Availability Groups, and implementing Availability Groups on Azure. The book begins with an introduction to high-availability and disaster recovery concepts such as Recovery Point Objectives (RPOs), Recovery Time Objectives (RTOs), availability lev ...
Get a fast start to using AlwaysOn, the SQL Server solution to high-availability and disaster recovery. This third edition is newly-updated to cover the 2019 editions of both SQL Server and Windows Server and includes strong coverage of implementing AlwaysOn Availability Groups on both Windows and Linux operating systems. The book provides a solid and accurate understanding of how to implement systems requiring consistent and continuous uptime, as well as how to troubleshoot those systems in order to keep them running and reliable. This edition is updated to account for all new major functionality and also includes coverage of implementing atypical configurations, such as clusterless and domain-independent Availability Groups, distributed Availability Groups, and implementing Availability Groups on Azure. The book begins with an introduction to high-availability and disaster recovery concepts such as Recovery Point Objectives (RPOs), Recovery Time Objectives (RTOs), availability lev ...
Practical Git
Practice your Git skills using exercises in your own environment. This book introduces concepts in an abstract visual way, and then enforces this learning through exercises - the Git katas. You will start with basic interactions such as commits and branches, and move on to both internals and collaborative workflows. Best practices are introduced and rehearsed throughout with hands-on exercises. Each topic is supplemented with interactive Git exercises that can be solved using any Git client - either the ubiquituous CLI or one of the many graphical clients so you'll learn in the environment you work in. The importance of Git is hard to overstate - it is used by 90% of software engineers worldwide and is the de facto standard for version control. Honing your Git skills is guaranteed to make you a better and more efficient developer. Building software can be stressful, but it doesn't need to be. Practical Git will give you the Git skills you need, and help keep your Git skills sharp ...
Practice your Git skills using exercises in your own environment. This book introduces concepts in an abstract visual way, and then enforces this learning through exercises - the Git katas. You will start with basic interactions such as commits and branches, and move on to both internals and collaborative workflows. Best practices are introduced and rehearsed throughout with hands-on exercises. Each topic is supplemented with interactive Git exercises that can be solved using any Git client - either the ubiquituous CLI or one of the many graphical clients so you'll learn in the environment you work in. The importance of Git is hard to overstate - it is used by 90% of software engineers worldwide and is the de facto standard for version control. Honing your Git skills is guaranteed to make you a better and more efficient developer. Building software can be stressful, but it doesn't need to be. Practical Git will give you the Git skills you need, and help keep your Git skills sharp ...
Machine Learning in the Oil and Gas Industry
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and prod ...
Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and prod ...
Deep Learning with PyTorch
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep learning skills - become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options. It's easy to get started with PyTorch. It minimizes cognitive overhead w ...
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep learning skills - become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options. It's easy to get started with PyTorch. It minimizes cognitive overhead w ...
Ruby Regexp
Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you learn Ruby Regular Expressions, a mini-programming language for all sorts of text processing needs. The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. You should have prior experience working with Ruby, should know concepts like blocks, string formats, string methods, Enumerable, etc. ...
Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you learn Ruby Regular Expressions, a mini-programming language for all sorts of text processing needs. The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. You should have prior experience working with Ruby, should know concepts like blocks, string formats, string methods, Enumerable, etc. ...
Advanced ASP.NET Core 3 Security
Incorporate security best practices into ASP.NET Core. This book covers security-related features available within the framework, explains where these feature may fall short, and delves into security topics rarely covered elsewhere. Get ready to dive deep into ASP.NET Core 3.1 source code, clarifying how particular features work and addressing how to fix problems. For straightforward use cases, the ASP.NET Core framework does a good job in preventing certain types of attacks from happening. But for some types of attacks, or situations that are not straightforward, there is very little guidance available on how to safely implement solutions. And worse, there is a lot of bad advice online on how to implement functionality, be it encrypting unsafely hard-coded parameters that need to be generated at runtime, or articles which advocate for certain solutions that are vulnerable to obvious injection attacks. Even more concerning is the functions in ASP.NET Core that are not as secure as t ...
Incorporate security best practices into ASP.NET Core. This book covers security-related features available within the framework, explains where these feature may fall short, and delves into security topics rarely covered elsewhere. Get ready to dive deep into ASP.NET Core 3.1 source code, clarifying how particular features work and addressing how to fix problems. For straightforward use cases, the ASP.NET Core framework does a good job in preventing certain types of attacks from happening. But for some types of attacks, or situations that are not straightforward, there is very little guidance available on how to safely implement solutions. And worse, there is a lot of bad advice online on how to implement functionality, be it encrypting unsafely hard-coded parameters that need to be generated at runtime, or articles which advocate for certain solutions that are vulnerable to obvious injection attacks. Even more concerning is the functions in ASP.NET Core that are not as secure as t ...