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Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Tranform-Load (ETL) capabilities. This book shows and explains the new interactive features of Spoon, the revamped look and feel, and the newest features of the tool including transformations and jobs Executors and the invaluable Metadata Injection capability.We begin with the installation of PDI software and then move on to cover all the key PDI concepts. Each of the chapter introduces new features, enabling you to gradually get practicing with the tool. First, you will learn to do all kind of data manipulation and work with simple plain files. Then, the book teaches you how you can work with relational databases inside PDI. Moreover, you will be given a primer on data warehouse concepts and you will learn how to load data in a data warehouse. During the course of this book, you will be familiarized with its intuitive, graphical and drag-and-drop design environment.By the end of this book, you will learn everything you need to know in order to meet your data manipulation requirements. Besides, your will be given best practices and advises for designing and deploying your projects.
Richard Grimes, Marius Bancila
C++ is one of the most widely used programming languages. It is fast, flexible, and used to solve many programming problems.This Learning Path gives you an in-depth and hands-on experience of working with C++, using the latest recipes and understanding most recent developments. You will explore C++ programming constructs by learning about language structures, functions, and classes, which will help you identify the execution flow through code. You will also understand the importance of the C++ standard library as well as memory allocation for writing better and faster programs.Modern C++: Efficient and Scalable Application Development deals with the challenges faced with advanced C++ programming. You will work through advanced topics such as multithreading, networking, concurrency, lambda expressions, and many more recipes.By the end of this Learning Path, you will have all the skills to become a master C++ programmer.This Learning Path includes content from the following Packt products:• Beginning C++ Programming by Richard Grimes• Modern C++ Programming Cookbook by Marius Bancila• The Modern C++ Challenge by Marius Bancila
With the increasing threats of breaches and attacks on critical infrastructure, system administrators and architects can use Kali Linux 2.0 to ensure their infrastructure is secure by finding out known vulnerabilities and safeguarding their infrastructure against unknown vulnerabilities.This practical cookbook-style guide contains chapters carefully structured in three phases – information gathering, vulnerability assessment, and penetration testing for the web, and wired and wireless networks. It's an ideal reference guide if you’re looking for a solution to a specific problem or learning how to use a tool. We provide hands-on examples of powerful tools/scripts designed for exploitation.In the final section, we cover various tools you can use during testing, and we help you create in-depth reports to impress management. We provide system engineers with steps to reproduce issues and fix them.
Squarespace is a web-based tool that allows non-technical people to create and manage professional-looking websites quickly, without needing to write any code. It empowers business owners to take total control of their own websites, without needing to pay someone to design or maintain it.This book covers much more than just how to use Squarespace. It covers all aspects of creating a successful business website, from developing your brand identity, to writing and structuring content to match your target audience's needs, and dozens of other other valuable tips that will help your website shine. Most importantly, you'll learn the correct steps to follow in order to ensure your project is smooth and stress-free.The book starts by helping you plan your website project and gather all the raw materials you'll need. Next, you'll set up your account and become familiar with the terminology and tools that you'll be using. Once you've learned the basics of how the Squarespace interface, templates, and different page types operate, you will create the framework of your website, ready for you to insert content and functionality. Then, once all the core elements are in place, you'll apply the aesthetic fine-tuning needed to bring your website in line with your brand. After the aesthetics have been honed and all functions tested, you will launch your website and drive traffic to it, monitor it, and improve it.
Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery.The book starts with an introduction to the use cases of building a web scraper and the main features of the Go programming language, along with setting up a Go environment. It then moves on to HTTP requests and responses and talks about how Go handles them. You will also learn about a number of basic web scraping etiquettes.You will be taught how to navigate through a website, using a breadth-first and then a depth-first search, as well as find and follow links. You will get to know about the ways to track history in order to avoid loops and to protect your web scraper using proxies.Finally the book will cover the Go concurrency model, and how to run scrapers in parallel, along with large-scale distributed web scraping.
As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains you how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithms over real-world datasets, to discover patterns and profiles, and explore the process to solve an unsupervised machine learning problem.The focus of the book then shifts to supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package. You'll also learn how to perform coherent result analysis to improve the performance of the algorithm by tuning hyperparameters.By the end of this book, you will have gain all the skills required to start programming machine learning algorithms.
UX Design for Mobile. Design apps that deliver impressive mobile experiences
User experience (UX) design provides techniques to analyze the real needs of your users and respond to them with products that are delightful to use. This requires you to think differently compared to traditional development processes, but also to act differently. In this book, you will be introduced to a pragmatic approach to exploring and creating mobile app solutions, reducing risks and saving time during their construction. This book will show you a working process to quickly iterate product ideas with low and high fidelity prototypes, based on professional tools from different software brands. You will be able to quickly test your ideas early in the process with the most adequate prototyping approach. You will understand the pros and cons of each approach, when you should use each of them, and what you can learn in each step of the testing process. You will also explore basic testing approaches and some more advanced techniques to connect and learn from your users. Each chapter will focus on one of the general steps needed to design a successful product according to the organization goals and the user needs. To achieve this, the book will provide detailed hands-on pragmatic techniques to design innovative and easy to use products. You will learn how to test your ideas in the early steps of the design process, picking up the best ideas that truly work with your users, rethinking those that need further refinement, and discarding those that don’t work properly in tests made with real users.By the end of the book, you will learn how to start exploring and testing your design ideas, regardless the size of the design budget.
Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This book is a systematic guide teaching you how to implement various Machine Learning techniques and their day-to-day application and development. You will start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The book will introduce you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement Regression, Clustering, classification, Neural networks, and more with fun examples. As you get to grips with the techniques, you’ll learn to implement those concepts to solve real-world scenarios for ML applications such as image analysis, Natural Language processing, and anomaly detections of time series data. By the end of the book, you will have learned various ML techniques to develop more efficient and intelligent applications.