Building Business Websites with Squarespace 7. Master the Squarespace platform to build professional websites that boost your businesses - Second Edition

Tiffanie Miko Coffey

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

Vincent Smith

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.

Machine Learning Fundamentals. Use Python and scikit-learn to get up and running with the hottest developments in machine learning

Hyatt Saleh

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

Pablo Perea, Pau Giner

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.

Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning

Rodolfo Bonnin

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.

MEAN Cookbook. The meanest set of MEAN stack solutions around

Nicholas McClay

The MEAN Stack is a framework for web application development using JavaScript-based technologies; MongoDB, Express, Angular, and Node.js. If you want to expand your understanding of using JavaScript to produce a fully functional standalone web application, including the web server, user interface, and database, then this book can help guide you through that transition. This book begins by configuring the frontend of the MEAN stack web application using the Angular JavaScript framework. We then implement common user interface enhancements before moving on to configuring the server layer of our MEAN stack web application using Express for our backend APIs. You will learn to configure the database layer of your MEAN stack web application using MongoDB and the Mongoose framework, including modeling relationships between documents. You will explore advanced topics such as optimizing your web application using WebPack as well as the use of automated testing with the Mocha and Chai frameworks. By the end of the book, you should have acquired a level of proficiency that allows you to confidently build a full production-ready and scalable MEAN stack application.

Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models

Rahul Kumar

Machine learning makes it possible to learn about the unknowns and gain hidden insights into your datasets by mastering many tools and techniques. This book guides you to do just that in a very compact manner.After giving a quick overview of what machine learning is all about, Machine Learning Quick Reference jumps right into its core algorithms and demonstrates how they can be applied to real-world scenarios. From model evaluation to optimizing their performance, this book will introduce you to the best practices in machine learning. Furthermore, you will also look at the more advanced aspects such as training neural networks and work with different kinds of data, such as text, time-series, and sequential data. Advanced methods and techniques such as causal inference, deep Gaussian processes, and more are also covered.By the end of this book, you will be able to train fast, accurate machine learning models at your fingertips, which you can easily use as a point of reference.

Hands-On Robotics with JavaScript. Build robotic projects using Johnny-Five and control hardware with JavaScript and Raspberry Pi

Kassandra Perch

JavaScript has an effective set of frameworks and libraries that provide support for embedded device programming and the robotics ecosystem. You’ll be able to put your JavaScript knowledge to work with this practical robotics guide.The book starts by guiding you in setting up an environment to program robots with JavaScript and Rasberry Pi 3. You will build beginner-level projects, such as a line-following robot, and then upgrade your robotics skills with a series of projects that help you get to grips with the Johnny-Five library. As you progress, you’ll learn how you can improve your projects by enabling advanced hardware components and programming concepts. You’ll even build an advanced AI-enabled robot, connect its NodeBots to the internet, create a NodeBots Swarm, and explore Message Queuing Telemetry Transport (MQTT).By the end of this book, you will have enhanced your robot programming skills by building a range of simple to complex projects.