Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python

Benjamin Johnston, Aaron Jones, Christopher Kruger

Unsupervised learning is a useful and practical solution in situations where labeled data is not available.Applied Unsupervised Learning with Python guides you in learning the best practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data. The book begins by explaining how basic clustering works to find similar data points in a set. Once you are well-versed with the k-means algorithm and how it operates, you’ll learn what dimensionality reduction is and where to apply it. As you progress, you’ll learn various neural network techniques and how they can improve your model. While studying the applications of unsupervised learning, you will also understand how to mine topics that are trending on Twitter and Facebook and build a news recommendation engine for users. Finally, you will be able to put your knowledge to work through interesting activities such as performing a Market Basket Analysis and identifying relationships between different products.By the end of this book, you will have the skills you need to confidently build your own models using Python.

Modern Cryptography for Cybersecurity Professionals. Learn how you can leverage encryption to better secure your organization's data

Lisa Bock

In today's world, it is important to have confidence in your data storage and transmission strategy. Cryptography can provide you with this confidentiality, integrity, authentication, and non-repudiation. But are you aware of just what exactly is involved in using cryptographic techniques? Modern Cryptography for Cybersecurity Professionals helps you to gain a better understanding of the cryptographic elements necessary to secure your data.The book begins by helping you to understand why we need to secure data and how encryption can provide protection, whether it be in motion or at rest. You'll then delve into symmetric and asymmetric encryption and discover how a hash is used. As you advance, you'll see how the public key infrastructure (PKI) and certificates build trust between parties, so that we can confidently encrypt and exchange data. Finally, you'll explore the practical applications of cryptographic techniques, including passwords, email, and blockchain technology, along with securely transmitting data using a virtual private network (VPN).By the end of this cryptography book, you'll have gained a solid understanding of cryptographic techniques and terms, learned how symmetric and asymmetric encryption and hashed are used, and recognized the importance of key management and the PKI.

Mastering Python Networking. Utilize Python packages and frameworks for network automation, monitoring, cloud, and management - Fourth Edition

Eric Chou

Networks in your infrastructure set the foundation for deploying, maintaining, and servicing applications. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. Mastering Python Networking, Fourth edition, guides you on a Python-driven journey from traditional network engineering to modern network development.This new edition incorporates the latest Python features and DevOps frameworks. In addition to new chapters on introducing Docker containers and Python 3 Async IO for network engineers, each chapter is updated with the latest libraries and working examples to ensure compatibility and clarity of the concepts.Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security, followed by AWS and Azure cloud networking. You will use Git for code management, GitLab for continuous integration, and Python-based testing tools to verify your network.By the end of this book, you'll be a confident network developer capable of automating modern infrastructure using Python, DevOps practices, and cloud technologies.

Jira 8 Essentials. Effective project tracking and issue management with enhanced Jira 8.21 and Data Center features - Sixth Edition

Patrick Li

This new and improved sixth edition comes with the latest Jira 8.21 Data Center offerings, with enhanced features such as clustering, advanced roadmaps, custom field optimization, and tools to track and manage tasks for your projects. This comprehensive guide to Jira 8.20.x LTS version provides updated content on project tracking, issue and field management, workflows, Jira Service Management, and security.The book begins by showing you how to plan and set up a new Jira instance from scratch before getting you acquainted with key features such as emails, workflows, and business processes. You’ll also get to grips with Jira’s data hierarchy and design and work with projects. Since Jira is used for issue management, this book will help you understand the different issues that can arise in your projects. As you advance, you’ll create new screens from scratch and customize them to suit your requirements. Workflows, business processes, and guides on setting up incoming and outgoing mail servers will be covered alongside Jira’s security model and Jira Service Management. Toward the end, you’ll learn how Jira capabilities are extended with third-party apps from Atlassian marketplace.By the end of this Jira book, you’ll have understood core components and functionalities of Jira and be able to implement them in business projects with ease.

HTML5 Web Application Development By Example : Beginner's guide. Learn how to write rich, interactive web applications using HTML5 and CSS3 through real-world examples. In a world of proliferating platforms and devices, being able to create your own “go-anywhere” applications gives you a significant advantage

J.M. Gustafson, Jody Gustafson

HTML5's new features have made it a real application development platform with widespread adoption throughout the industry for this purpose. Being able to create one application that can run on virtually any device from phone to desktop has made it the first choice among developers. Although JavaScript has been around for a while now, it wasn't until the introduction of HTML5 that we have been able to create dynamic, feature-rich applications rivaling those written for the desktop.HTML5 Web Application Development By Example will give you the knowledge you need to build rich, interactive web applications from the ground up, incorporating the most popular HTML5 and CSS3 features available right now. This book is full of tips, tools, and example applications that will get you started writing your own applications today.HTML5 Web Application Development By Example shows you how to write web applications using the most popular HTML5 and CSS3 features. This book is a practical, hands-on guide with numerous real-world and relevant examples.You will learn how to use local storage to save an application's state and incorporate CSS3 to make it look great. You will also learn how to use custom data attributes to implement data binding. We'll use the new Canvas API to create a drawing application, then use the Audio API to create a virtual piano, before turning it all into a game.The time to start using HTML5 is now. And HTML5 Web Application Development by Example will give you the tips and know-how to get started.

Learning Axure RP Interactive Prototypes. A practical, step-by-step guide to creating engaging prototypes with Axure

John Krahenbuhl, John Krahenbuhl

Unity 2018 Artificial Intelligence Cookbook. Over 90 recipes to build and customize AI entities for your games with Unity - Second Edition

Jorge Palacios

Interactive and engaging games come with intelligent enemies, and this intellectual behavior is combined with a variety of techniques collectively referred to as Artificial Intelligence. Exploring Unity's API, or its built-in features, allows limitless possibilities when it comes to creating your game's worlds and characters. This cookbook covers both essential and niche techniques to help you take your AI programming to the next level.To start with, you’ll quickly run through the essential building blocks of working with an agent, programming movement, and navigation in a game environment, followed by improving your agent's decision-making and coordination mechanisms – all through hands-on examples using easily customizable techniques. You’ll then discover how to emulate the vision and hearing capabilities of your agent for natural and humanlike AI behavior, and later improve the agents with the help of graphs. This book also covers the new navigational mesh with improved AI and pathfinding tools introduced in the Unity 2018 update. You’ll empower your AI with decision-making functions by programming simple board games, such as tic-tac-toe and checkers, and orchestrate agent coordination to get your AIs working together as one.By the end of this book, you’ll have gained expertise in AI programming and developed creative and interactive games.

Applying Math with Python. Practical recipes for solving computational math problems using Python programming and its libraries

Sam Morley

Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain.The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python’s scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code.By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.

Augmented Reality using Appcelerator Titanium Starter. Learn to create Augmented Reality applications in no time using the Appcelerator Titanium Framework with this book and

Trevor Ward

Titanium Mobile has quickly become the platform of choice for many mobile developers and is growing and changing at a rapid rate. From the implementation of CommonJS, Cloud Services, MVC design patterns and more, the last year in Titanium development has been a roller coaster of change for the better. Augmented Reality is a hot area for mobile applications and this book along with the augmentedTi open source application will give a great start to all augmented applications. This book will show you how to build an Augmented Reality application, which is clean, efficient and usable. It shows how to hide the processing from the user and build a display which updates and rotates smoothly.Mobile devices have got more powerful, but they still have limitations. Augmented Reality applications test these devices to breaking point and without the correct coding techniques make the applications unresponsive and cumbersome.This book gives a solution, which will enable you to build an effective application, and is accompanied by a complete working application and source code. It's essential for anybody who is creating a multiple points of interest augmented reality application. It shows how to build this type of application efficiently and takes into consideration the devices limitations and processing capabilities.

Python for Algorithmic Trading Cookbook. Recipes for designing, building, and deploying algorithmic trading strategies with Python

Jason Strimpel

Discover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading.Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You’ll optimize strategy parameters with walk-forward optimization using VectorBT and construct a production-ready backtest using Zipline Reloaded. Implementing all that you’ve learned, you’ll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details.By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.

Salesforce CPQ Implementation Handbook. Configure Salesforce CPQ products to close more deals and generate higher revenue for your business

Madhu Ramanujan

Salesforce CPQ is innovative software that enables you create better quotes, improve quoting accuracy, and maximize sales and deals. It also provides a quick analysis of profits and losses, helping you improve the overall execution of sales processes, and allows a great deal of flexibility for your prospects, customers, and business partners.The book starts with the Quote-2-Cash business process in Salesforce and shows you how to assess when a business needs to implement CPQ. You’ll then progress to configuring opportunities, quotes, and CPQ products. As you advance, you’ll understand how to define and configure price books, price rules for CPQ quote automation, multidimensional quoting, and more. Next, you'll look at how to configure CPQ guided selling and create package configurations, contracts, and amendments. Later chapters will demonstrate how to perform data migration from a legacy system and the order in which the objects are to be migrated. You’ll also explore CPQ billing and its advantages with the help of different use cases before learning about Industries CPQ and how it is different from standard Salesforce CPQ. Finally, you’ll discover best practices for achieving optimal CPQ performance and avoiding performance bottlenecks.By the end of this Salesforce book, you’ll be able to implement Salesforce CPQ for any business.

Scala: Applied Machine Learning. Master the art of Machine Learning in Scala

Patrick R. Nicolas, Alex Kozlov, Pascal Bugnion

This Learning Path aims to put the entire world of machine learning with Scala in front of you. Scala for Data Science, the first module in this course, is a tutorial guide that provides tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed building data science and data engineering solutions.The second course, Scala for Machine Learning guides you through the process of building AI applications with diagrams, formal mathematical notation, source code snippets, and useful tips. A review of the Akka framework and Apache Spark clusters concludes the tutorial.The next module, Mastering Scala Machine Learning, is the final step in this course. It will take your knowledge to next level and help you use the knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees.By the end of this course, you will be a master at Scala machine learning and have enough expertise to be able to build complex machine learning projects using Scala.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Scala for Data Science, Pascal Bugnion? Scala for Machine Learning, Patrick Nicolas? Mastering Scala Machine Learning, Alex Kozlov

Scala Functional Programming Patterns. Grok and perform effective functional programming in Scala

Atul S. Khot

Scala is used to construct elegant class hierarchies for maximum code reuse and extensibility and to implement their behavior using higher-order functions. Its functional programming (FP) features are a boon to help you design “easy to reason about” systems to control the growing software complexities. Knowing how and where to apply the many Scala techniques is challenging. Looking at Scala best practices in the context of what you already know helps you grasp these concepts quickly, and helps you see where and why to use them. This book begins with the rationale behind patterns to help you understand where and why each pattern is applied. You will discover what tail recursion brings to your table and will get an understanding of how to create solutions without mutations. We then explain the concept of memorization and infinite sequences for on-demand computation. Further, the book takes you through Scala’s stackable traits and dependency injection, a popular technique to produce loosely-coupled software systems.You will also explore how to currying favors to your code and how to simplify it by de-construction via pattern matching. We also show you how to do pipeline transformations using higher order functions such as the pipes and filters pattern. Then we guide you through the increasing importance of concurrent programming and the pitfalls of traditional code concurrency. Lastly, the book takes a paradigm shift to show you the different techniques that functional programming brings to your plate.This book is an invaluable source to help you understand and perform functional programming and solve common programming problems using Scala’s programming patterns.

Terraform for Google Cloud Essential Guide. Learn how to provision infrastructure in Google Cloud securely and efficiently

Bernd Nordhausen

Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud.This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you’ll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you’ll also be able to improve your Terraform workflow using Google Cloud native and third-party tools.By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely.

Delphi Programming Projects. Build a range of exciting projects by exploring cross-platform development and microservices

William Duarte

Delphi is a cross-platform programming language and software development kit that supports rapid application development for Microsoft Windows, Apple Mac OS X, Android, and iOS.With the help of seven practical projects, this book will guide you through the best practices, Delphi Run-Time Library (RTL) resources, and design patterns. Whether you use the Visual Component Library (VCL) or FireMonkey (FMX) framework, these design patterns will be implemented in the same way in Delphi, using Object Pascal. In the first few chapters, you will explore advanced features that will help you build rich applications using the same code base for both mobile and desktop projects. In addition to this, you’ll learn how to implement microservice architecture in Delphi. As you get familiar with the various aspects of Delphi, you will no longer need to maintain source code for similar projects, program business rules on screens, or fill your forms with data access components.By the end of this book, you will have gained an understanding of the principles of clean code and become proficient in building robust and scalable applications in Delphi.

F# 4.0 Design Patterns. Solve complex problems with functional thinking

Gene Belitski

Following design patterns is a well-known approach to writing better programs that captures and reuses high-level abstractions that are common in many applications. This book will encourage you to develop an idiomatic F# coding skillset by fully embracing the functional-first F# paradigm. It will also help you harness this powerful instrument to write succinct, bug-free, and cross-platform code.F# 4.0 Design Patterns will start off by helping you develop a functional way of thinking. We will show you how beneficial the functional-first paradigm is and how to use it to get the optimum results. The book will help you acquire the practical knowledge of the main functional design patterns, the relationship of which with the traditional Gang of Four set is not straightforward.We will take you through pattern matching, immutable data types, and sequences in F#. We will also uncover advanced functional patterns, look at polymorphic functions, typical data crunching techniques, adjusting code through augmentation, and generalization. Lastly, we will take a look at the advanced techniques to equip you with everything you need to write flawless code.