Spring in Action, 5th Edition.part1
Spring in Action, 5th Edition is the fully updated revision of Manning’s bestselling Spring in Action. This new edition includes all Spring 5.0 updates, along with new examples on reactive programming, Spring WebFlux, and microservices. You’ll also find the latest Spring best practices, including Spring Boot for application setup and configuration.
Python Continuous Integration and Delivery
Gain the techniques and tools that enable a smooth and efficient software development process in this quick and practical guide on Python continuous integration (CI) and continuous delivery (CD). Based on example applications, this book introduces various kinds of testing and shows you how to set up automated systems that run these tests, and install applications in different environments in controlled ways. Python Continuous Integration and Delivery tackles the technical problems related to software development that are typically glossed over in pure programming texts.
After reading this book, you’ll see that in today’s fast-moving world, no software project can afford to go through development, then an integration phase of unpredictable length and complexity, and finally be shipped to the customer — just to find out that the resulting application didn’t quite fill their need. Instead, you’ll discover that practicing continuous integration and continuous delivery reduces the risks by keeping changes small and automating otherwise painful processes.
What You Will Learn
Carry out various kinds of testing, including unit testing and continuous integration testing, of your Python code using Jenkins
Build packages and manage repositories
Incorporate Ansible and Go for automated packaging and other deployments
Manage more complex and robust deployments
Who This Book Is For
Python programmers and operating staff that work with Python applications.
QuickBooks 2019 All-in-One For Dummies
The quickest way to do the books!
Finances don’t have to put you in a funk! With the help of this all-encompassing book, you’ll get the easy-to-follow instruction you need to get your business’ ducks in a row—without ever losing your cool. Whether you’re a numbers person or have never spent much time with a calculator, you’ll discover how to use QuickBooks 2019 to make it easier than ever to handle your finances.
This value-priced reference combines eight content-rich mini-books into one complete package, providing the answers you need to get the most out of the latest version of QuickBooks. No stone is left unturned, giving you everything you need to turn what used to be harrowing tasks into simple items you can check off on your to-do list.
Helps you use QuickBooks to ease accounting chores, financial management, and business planning
Provides guidance from an industry expert
Shows you how to set up a QuickBooks accounting system, load the master files lists, invoice customers, pay vendors, track inventory, manage cash and bank accounts, and more
Gives helpful troubleshooting tips to make your accounting easy
Your time is precious—why waste a minute when QuickBooks can make it easier? Get started today!
Getting Started with OpenShift
Intrigued by the possibilities of developing web applications in the cloud? With this concise book, you get a quick hands-on introduction to OpenShift, the open source Platform as a Service (PaaS) offering from Red Hat. You’ll learn the steps necessary to build, deploy, and host a complete real-worl
Foundations of PyGTK Development, 2nd Edition
There are only two mainstream solutions for building the graphical interface of Linux-based desktop applications, and GTK+ (GIMP Toolkit) is one of them. It is a necessary technology for all Linux programmers. This book guides the reader through the complexities of GTK+, laying the groundwork that allows the reader to make the leap from novice to professional. Beginning with an overview of key topics such as widget choice, placement, and behavior, readers move on to learn about more advanced issues. Replete with real-world examples, the developer can quickly take advantages of the concepts presented within to begin building his own projects.
Designing Connected Products UX for the Consumer Internet of Things
Networked thermostats, fitness monitors, and door locks show that the Internet of Things can (and will) enable new ways for people to interact with the world around them. But designing connected products for consumers brings new challenges beyond conventional software UI and interaction design.
This book provides experienced UX designers and technologists with a clear and practical roadmap for approaching consumer product strategy and design in this novel market. By drawing on the best of current design practice and academic research, Designing Connected Products delivers sound advice for working with cross-device interactions and the complex ecosystems inherent in IoT technology.
Machine Intelligence and Signal Analysis
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.
The Deep Learning Revolution
How deep learning―from Google Translate to driverless cars to personal cognitive assistants―is changing our lives and transforming every sector of the economy.
Computational Intelligence
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing.
Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing presents an introduction tosome of the cutting edge technological paradigms under the umbrellaof computational intelligence. Computational intelligence schemesare investigated with the development of a suitable framework forfuzzy logic, neural networks and evolutionary computing,neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionaryneural systems. Applications to linear and non-linear systems arediscussed with examples.
Key features:
Covers all the aspects of fuzzy, neural and evolutionaryapproaches with worked out examples, MATLAB® exercises andapplications in each chapter
Presents the synergies of technologies of computationalintelligence such as evolutionary fuzzy neural fuzzy andevolutionary neural systems
Considers real world problems in the domain of systemsmodelling, control and optimization
Contains a foreword written by Lotfi Zadeh
Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing is an ideal text for finalyear undergraduate, postgraduate and research students inelectrical, control, computer, industrial and manufacturingengineering.
The Well-Grounded Rubyist, 2nd Edition
The Well-Grounded Rubyist, Second Edition addresses both newcomers to Ruby as well as Ruby programmers who want to deepen their understanding of the language. This beautifully written and totally revised second edition includes coverage of features that are new in Ruby 2.1, as well as expanded and updated coverage of aspects of the language that have changed.
Generic Pipelines Using Docker
Create generic pipelines to reduce your overall DevOps workload and allow your team to deliver faster. This book helps you get up to speed on the pros and cons of generic pipeline methodology, and learn to combine shell scripts and Docker to build generic pipelines.
In today’s world of micro-services and agile practices, DevOps teams need to move as fast as feature teams. This can be extremely challenging if you’re creating multiple pipelines per application or tech stack. What if your feature teams could utilize a generic pipeline that could build, test, and deploy any application, regardless of tech stack? What if that pipeline was also cloud and platform agnostic? Too good to be true? Well think again!
Generic Pipelines Using Docker explores the principles and implementations that allow you to do just that. You will learn from real-world examples and reusable code. After reading this book you will have the knowledge to build generic pipelines that any team can use.
What You’ll Learn
Explore the pros and cons of generic pipeline methodology
Combine shell scripts and Docker to build a generic pipeline
Implement a pipeline across CI/CD platforms
Build a pipeline that lends itself well to both centralized and federated DevOps teams
Construct a modular pipeline with components that can be added, removed, or replaced as needed
Who This Book Is For
Professionals who use DevOps or are part of a DevOps team, and are seeking ways to streamline their pipelines and drive more deployments while using less code
Deep Learning with Python
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.
The Quick Python Book, 3rd Edition
This third revision of Manning’s popular The Quick Python Book offers a clear, crisp updated introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features
Core Java Volume II CN 10th.part2.part4
part2.part1至part2.part7 下载完成后，解压得到Core Java Volume II CN 10th.part2.rar。与之前下载的Core Java Volume II CN 10th.part1.rar 一起再解压一遍即可。
Core Java Volume II CN 10th.part2.part3
part2.part1至part2.part7 下载完成后，解压得到Core Java Volume II CN 10th.part2.rar。与之前下载的Core Java Volume II CN 10th.part1.rar 一起再解压一遍即可。
Core Java Volume II CN 10th.part2.part2
part2.part1至part2.part7 下载完成后，解压得到Core Java Volume II CN 10th.part2.rar。与之前下载的Core Java Volume II CN 10th.part1.rar 一起再解压一遍即可。
Core Java Volume II CN 10th.part2.part7
part2.part1至part2.part7 下载完成后，解压得到Core Java Volume II CN 10th.part2.rar。与之前下载的Core Java Volume II CN 10th.part1.rar 一起再解压一遍即可。
Core Java Volume II CN 10th.part2.part1
Core Java Volume II CN 10th.part2.part1
part2.part1至part2.part7 下载完成后，解压得到Core Java Volume II CN 10th.part2.rar。与之前下载的Core Java Volume II CN 10th.part1.rar 一起再解压一遍即可。
Core Java Volume II CN 10th part1
Core Java Volume II CN 10th part1
Advanced Microservices
This book covers a breadth of knowledge for adopting and implementing redundant
and highly available microservices within an organization. Preference is given to a
stack built upon open source technologies. I use as few application code examples as
Cython - Author: Kurt W. Smith
Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, you’ll learn how to use Cython to improve Python’s performance—up to 3000x— and to wrap C and C++ libraries in Python with ease.
Author Kurt Smith takes you through Cython’s capabilities, with sample code and in-depth practice exercises. If you’re just starting with Cython, or want to go deeper, you’ll learn how this language is an essential part of any performance-oriented Python programmer’s arsenal.
Use Cython’s static typing to speed up Python code
Gain hands-on experience using Cython features to boost your numeric-heavy Python
Create new types with Cython—and see how fast object-oriented programming in Python can be
Effectively organize Cython code into separate modules and packages without sacrificing performance
Use Cython to give Pythonic interfaces to C and C++ libraries
Optimize code with Cython’s runtime and compile-time profiling tools
Use Cython’s prange function to parallelize loops transparently with OpenMP
Classic Computer Science Problems in Python
Classic Computer Science Problems in Python deepens your knowledge of problem-solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you’ll remember important things you’ve forgotten and discover classic solutions to your “new” problems!
Program the Internet of Things with Swift for iOS, 2nd Edition
With this book, you will learn how to build apps and hardware for the Internet of Things, using Apple’s native APIs and industry standard protocols like Bluetooth and HTTPS. You’ll start out learning how to access the sensors on the iPhone, move on to building your own accessories using the Arduino
Java in a Nutshell, 7th Edition
This updated edition of Java in a Nutshell not only helps experienced Java programmers get the most out of Java versions 9 through 11, it’s also a learning path for new developers. Chock full of examples that demonstrate how to take complete advantage of modern Java APIs and development best practices, this thoroughly revised book includes new material on Java Concurrency Utilities.
The book’s first section provides a fast-paced, no-fluff introduction to the Java programming language and the core runtime aspects of the Java platform. The second section is a reference to core concepts and APIs that explains how to perform real programming work in the Java environment.
Get up to speed on language details, including Java 9-11 changes
Learn object-oriented programming, using basic Java syntax
Explore generics, enumerations, annotations, and lambda expressions
Understand basic techniques used in object-oriented design
Examine concurrency and memory, and how they’re intertwined
Work with Java collections and handle common data formats
Delve into Java’s latest I/O APIs, including asynchronous channels
Use Nashorn to execute JavaScript on the Java Virtual Machine
Become familiar with development tools in OpenJDK
Learn to Program with Scratch
Scratch is a fun, free, beginner-friendly programming environment where you connect blocks of code to build programs. While most famously used to introduce kids to programming, Scratch can make computer science approachable for people of any age. Rather than type countless lines of code in a cryptic programming language, why not use colorful command blocks and cartoon sprites to create powerful scripts?
In Learn to Program with Scratch, author Majed Marji uses Scratch to explain the concepts essential to solving real-world programming problems. The labeled, color-coded blocks plainly show each logical step in a given script, and with a single click, you can even test any part of your script to check your logic. You’ll learn how to:
–Harness the power of repeat loops and recursion
–Use if/else statements and logical operators to make decisions
–Store data in variables and lists to use later in your program
–Read, store, and manipulate user input
–Implement key computer science algorithms like a linear search and bubble sort
Hands-on projects will challenge you to create an Ohm’s law simulator, draw intricate patterns, program sprites to mimic line-following robots, create arcade-style games, and more! Each chapter is packed with detailed explanations, annotated illustrations, guided examples, lots of color, and plenty of exercises to help the lessons stick. Learn to Program with Scratch is the perfect place to start your computer science journey, painlessly.
Practical Apache Spark
Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for
Elasticsearch The Definitive Guide
Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with
Apache Solr High Performance
Apache Solr is one of the most popular open source search servers available on the web. However, simply setting up Apache Solr is not enough to ensure the success of your web product. To maximize efficiency, you need to use techniques to boost Solr performance in order to return relevant results faster. You need to implement robust techniques that focus on optimizing the performance of your Solr instances and also troubleshoot issues that are prone to arise while maintaining Solr.
Apache Solr High Performance is a practical guide that will help you explore and take full advantage of the robust nature of Apache Solr so as to achieve optimized Solr instances, especially in terms of performance.
You will learn everything you need to know in order to achieve a high performing Solr instance or set of instances, as well as how to troubleshoot the common problems you are prone to face while working with single or multiple Solr servers.
This book offers you an introduction by explaining the prerequisites of Apache Solr and installing it, while also integrating it with the required additional components, and gradually progresses into features that make Solr flexible enough to achieve high performance ratings in various circumstances. Moving forward, the book will cover several clear and highly practical concepts that will help you further optimize your Solr instances’ performance both on single as well as multiple servers, and learn how to troubleshoot common problems that are prone to arise while using your Solr instance. By the end of the book you will also learn how to set up, configure, and deploy ZooKeeper along with learning more about other applications of ZooKeeper.
You will also learn how to handle data in multiple server environments, searches based on specific geographical co-ordinates, different caching techniques, and various algorithms and formulae that enable better performance; and many more.
Java Lambdas and Parallel Streams
This compact book introduces the concepts of Java Lambdas and parallel Streams in a concise form. It begins by introducing new supporting features such as functional interfaces, default methods and more. After this, the author demonstrates how streams can be parallelized in a very simple way―within certain limits, no knowledge about the thread management is needed. Nevertheless, some basic elements in the context of parallelism need to be considered. Here, the book provides a variety of information and best practices.
What you’ll learn:
What are lambdas and streams and how to use them
What is the default method
What are streams, the stream() function
How to use Stream and Spliterator
How to use parallel streams
How to do collectors and concurrency
Who is this book for:
This book is for experienced Java programmers and developers.
Natural Language Processing Recipes
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis.
Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing.
By using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient.
What You Will Learn
Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more
Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced natural language processing techniques.
Identify machine learning and deep learning techniques for natural language processing and natural language generation problems
Who This Book Is For
Data scientists who want to refresh and learn various concepts of natural language processing through coding exercises.
Fonts & Encodings
This reference is a fascinating and complete guide to using fonts and typography on the Web and across a variety of operating systems and application software. Fonts & Encodings shows you how to take full advantage of the incredible number of typographic options available, with advanced material that covers everything from designing glyphs to developing software that creates and processes fonts.
The era of ASCII characters on green screens is long gone, and industry leaders such as Apple, HP, IBM, Microsoft, and Oracle have adopted the Unicode Worldwide Character Standard. Yet, many software applications and web sites still use a host of standards, including PostScript, TrueType, TeX/Omega, SVG, Fontlab, FontForge, Metafont, Panose, and OpenType. This book explores each option in depth, and provides background behind the processes that comprise today’s “digital space for writing”:
Part I introduces Unicode, with a brief history of codes and encodings including ASCII. Learn about the morass of the data that accompanies each Unicode character, and how Unicode deals with normalization, the bidirectional algorithm, and the handling of East Asian characters.
Part II discusses font management, including installation, tools for activation/deactivation, and font choices for three different systems: Windows, the Mac OS, and the X Window System (Unix).
Part III deals with the technical use of fonts in two specific cases: the TeX typesetting system (and its successor, W, which the author co-developed) and web pages.
Part IV describes methods for classifying fonts: Vox, Alessandrini, and Panose-1, which is used by Windows and the CSS standard. Learn about existing tools for creating (or modifying) fonts, including FontLab and FontForge, and become familiar with OpenType properties and AAT fonts.
Nowhere else will you find the valuable technical information on fonts and typography that software developers, web developers, and graphic artists need to know to get
PyTorch Recipes
Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you’ll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into transformations and graph computations with PyTorch. Along the way you will take a look at common issues faced with neural network implementation and tensor differentiation, and get the best solutions for them.
Moving on to algorithms; you will learn how PyTorch works with supervised and unsupervised algorithms. You will see how convolutional neural networks, deep neural networks, and recurrent neural networks work using PyTorch. In conclusion you will get acquainted with natural language processing and text processing using PyTorch.
What You Will Learn
Master tensor operations for dynamic graph-based calculations using PyTorch
Create PyTorch transformations and graph computations for neural networks
Carry out supervised and unsupervised learning using PyTorch
Work with deep learning algorithms such as CNN and RNN
Build LSTM models in PyTorch
Use PyTorch for text processing
Who This Book Is For
Readers wanting to dive straight into programming PyTorch.
JavaScript Data Structures and Algorithms
Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions.
You’ll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You’ll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching.
It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today.
What You’ll Learn
Review core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-table
Review core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators
Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types
Take a high-level look at commonly used design patterns in JavaScript
Who This Book Is For
Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.
Practical Recommender Systems
Recommender systems are practically a necessity for keeping a site’s content current, useful, and interesting to visitors. Recommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance.
Practical Recommender Systems goes behind the curtain to show readers how recommender systems work and, more importantly, how to create and apply them for their site. This hands-on guide covers scaling problems and other issues they may encounter as their site grows.
Practical Windows Forensics
Over the last few years, the wave of the cybercrime has risen rapidly. We have witnessed many major attacks on the governmental, military, financial, and media sectors. Tracking all these attacks and crimes requires a deep understanding of operating system operations, how to extract evident data from digital evidence, and the best usage of the digital forensic tools and techniques. Regardless of your level of experience in the field of information security in general, this book will fully introduce you to digital forensics. It will provide you with the knowledge needed to assemble different types of evidence effectively, and walk you through the various stages of the analysis process.
We start by discussing the principles of the digital forensics process and move on to show you the approaches that are used to conduct analysis. We will then study various tools to perform live analysis, and go through different techniques to analyze volatile and non-volatile data.
Who This Book Is For
This book targets forensic analysts and professionals who would like to develop skills in digital forensic analysis for the Windows platform. You will acquire proficiency, knowledge, and core skills to undertake forensic analysis of digital data.
Prior experience of information security and forensic analysis would be helpful. You will gain knowledge and an understanding of performing forensic analysis with tools especially built for the Windows platform.
What You Will Learn
Perform live analysis on victim or suspect Windows systems locally or remotely
Understand the different natures and acquisition techniques of volatile and non-volatile data.
Create a timeline of all the system actions to restore the history of an incident.
Recover and analyze data from FAT and NTFS file systems.
Make use of various tools to perform registry analysis.
Track a system user’s browser and e-mail activities to prove or refute some hypotheses.
Get to know how to dump and analyze computer memory.
Mule in Action
Mule is the most widely used open source ESB-with millions of downloads-providing an alternative to expensive commercial options. Mule in Action is acomprehensive tutorial designed for working Java developers. This authoritativebook explores the architecture and the main features of version Mule 2 throughnumerous running examples. It starts with a quick overview of ESB technologyand a bit of Mule history-including the key changes between Mule 1.x andMule 2. Readers learn to configure Mule and then get straight to the goodstuff-putting Mule to work.
Because the core of an ESB system is handling message traffic, the book divesinto the way Mule handles data with chapters on sending and receiving, routing,and transforming data. Next, it takes a close look at Mule’s standard componentsand how you can roll out custom ones. The book closes with a set of chapterson the nuts and bolts of working with Mule. Readers can take Mule farther bylearning techniques for testing, performance tuning, BPM orchestration, andeven a touch of Groovy scripting.
Generic Pipelines Using Docker - The DevOps Guide
Create generic pipelines to reduce your overall DevOps workload and allow your team to deliver faster. This book helps you get up to speed on the pros and cons of generic pipeline methodology, and learn to combine shell scripts and Docker to build generic pipelines.
In today’s world of micro-services and agile practices, DevOps teams need to move as fast as feature teams. This can be extremely challenging if you’re creating multiple pipelines per application or tech stack. What if your feature teams could utilize a generic pipeline that could build, test, and deploy any application, regardless of tech stack? What if that pipeline was also cloud and platform agnostic? Too good to be true? Well think again!
Generic Pipelines Using Docker explores the principles and implementations that allow you to do just that. You will learn from real-world examples and reusable code. After reading this book you will have the knowledge to build generic pipelines that any team can use.
What You’ll Learn
Explore the pros and cons of generic pipeline methodology
Combine shell scripts and Docker to build a generic pipeline
Implement a pipeline across CI/CD platforms
Build a pipeline that lends itself well to both centralized and federated DevOps teams
Construct a modular pipeline with components that can be added, removed, or replaced as needed
Who This Book Is For
Professionals who use DevOps or are part of a DevOps team, and are seeking ways to streamline their pipelines and drive more deployments while using less code
Machine Learning Applications Using Python
Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented.
Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning.
What You Will Learn
Discover applied machine learning processes and principles
Implement machine learning in areas of healthcare, finance, and retail
Avoid the pitfalls of implementing applied machine learning
Build Python machine learning examples in the three subject areas
Who This Book Is For
Data scientists and machine learning professionals.
Beginning MySQL Database Design and Optimization
* Shows how to take advantage of MySQL’s built-in functions, minimizing the need to process data once it’s been retrieved from the database.
* Demonstrates how to write and use advanced and complex queries to cut down on (middleware) application logic, including nested sub-queries and virtual tables (added since MySQL 4.1).
* Points out database design do’s and don’ts, including many real-world examples of bad database designs and how the databases were subsequently improved.
* Includes a review of MySQL fundamentals and essential theory, such as naming conventions and connections, for quick reference purposes.
AWS System Administration
With platforms designed for rapid adaptation and failure recovery such as Amazon Web Services, cloud computing is more like programming than traditional system administration. Tools for automatic scaling and instance replacement allow even small DevOps teams to manage massively scalable application infrastructures—if team members drop their old views of development and operations and start mastering automation.
This comprehensive guide shows developers and system administrators how to configure and manage AWS services including EC2, CloudFormation, Elastic Load Balancing, S3, and Route 53. Sysadms will learn will learn to automate their favorite tools and processes; developers will pick up enough ops knowledge to build a robust and resilient AWS application infrastructure.
Launch instances with EC2 or CloudFormation
Securely deploy and manage your applications with AWS tools
Learn to automate AWS configuration management with Python and Puppet
Deploy applications with Auto Scaling and Elastic Load Balancing
Explore approaches for deploying application and infrastructure updates
Save time on development and operations with reusable components
Learn strategies for managing log files in AWS environments
Configure a cloud-aware DNS service with Route 53
Use AWS CloudWatch to monitor your infrastructure and applications
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