Practical Django 2 and Channels 2
Learn how to rapidly build your own ecommerce site by applying Django's battle-tested components. This book demonstrates Django's features and conventions to help you develop modern web applications quickly. You'll adopt a "learn by doing" approach and gain a deeper understanding Django by working through a project in which the real-time component will be critical.
The book starts with the basics and explains the difference between a Django project and a Django app, the most important settings, how to change them, and the fundamentals of packaging. You'll then be introduced to all the standard tools of Django, along with a sample project. The book then moves on to Channels, a recent addition to the Django ecosystem. It extends the framework with support for real-time operations such as Websockets and other asynchronous features.
Practical Django 2 and Channels 2 provides the practical concepts needed to create complex, database-driven websites as easily as possible ...
PMP in Depth
Use this study guide to prepare for the Project Management Professional (PMP) exam administered by the Project Management Institute (PMI).
The revised third edition of the best-selling PMP in Depth, updated to the sixth edition of PMBOK, has a laser-sharp focus on the exam objectives for project managers and others who want to pass the PMP exam. No prior knowledge of project management is assumed.
The chapters and the sections within each chapter are presented in a logical learning sequence. The concepts and topics, both simple and complex, are clearly explained when they appear for the first time. This facilitates step-wise learning, prevents confusion, and makes this book useful for those who want to get up to speed quickly to pass the PMP exam, even if you are new to the discipline of project management.
This book tells the story of project management in a cohesive, concise, yet comprehensive fashion. Unlike most PMP exam books, PMP ...
Practical Tinker Board
Get started with the ASUS Tinker Board and begin building and expanding your own projects. This book covers the basic operating systems offered by ASUS for the Tinker Board and Tinker Board S, TinkerOS and Android, and then dives deeper into its capabilities for projects; such as a music streamer or a weather display with internet connectivity.
Beginners will find the resources necessary to follow along and more seasoned makers can review additional information to engage with this new single-board computer platform. The projects are broad enough to show off the capability of the Tinker Board's hardware and they can be used as is or you can add to them based on your skill level.
The ASUS Tinker Board offers an increase in hardware specs and, as a result, is more powerful compared to other single-board computers on the market, making it a great option for projects that would have previously been a challenge to run on other boards, such as the Raspberry Pi. Single-board computers in ...
Raspbian OS Programming with the Raspberry Pi
Master the command line and Raspbian Linux as well as the physical connections of the Pi. With this book you'll develop skills applicable to other real world applications in both hardware and software development all while working on simple and fun IoT projects that you can do yourself.
You'll learn to build programs on the top of Raspbian OS in Raspberry Pi boards. Start by using Raspbian shells to develop programs.Then follow projects and samples step-by-step to get new experiences in Raspbian OS development. You'll also learn the Wolfram Language and Mathematica, Scratch, IoT programs and IoT middleware, Node-RED, Interactive Data Visualization with Jupyter Notebook, and more.
There are many features in Raspbian OS and on Raspberry Pi boards perfect for building an IoT program to suite various scenarios. The GPIO pins on your Raspberry Pi allow it to scale further to accomplish all kinds of projects and tasks. Raspbian OS Programming with the Raspberry Pi is your pathway to e ...
AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You'll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you'll discover the practical techniques to build AI business applications from first design to full coding and deployment.
The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You'll learn how to approach AI business problems and apply blueprints that can ensure success.
The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perfor ...
Xamarin.Forms is a lightweight cross-platform development toolkit for building applications with a rich user interface.
In this book you'll start by building projects that explain the Xamarin.Forms ecosystem to get up and running with building cross-platform applications. We'll increase in difficulty throughout the projects, making you learn the nitty-gritty of Xamarin.Forms offerings. You'll gain insights into the architecture, how to arrange your app's design, where to begin developing, what pitfalls exist, and how to avoid them. The book contains seven real-world projects, to get you hands-on with building rich UIs and providing a truly cross-platform experience. It will also guide you on how to set up a machine for Xamarin app development. You'll build a simple to-do application that gets you going, then dive deep into building advanced apps such as messaging platform, games, and machine learning, to build a UI for an augmented reality project.
By the end of the book, you'll ...
Julia Programming Projects
Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing.
After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, including fintech, biotech, education, and AI.
Beginning with an introduction to the language, Julia Programming Projects goes on to illustrate how to analyze the Iris dataset using DataFrames. You will explore functions and the type system, methods, and multiple dispatch while building a web scraper and a web app. Next, you'll delve into machine learning, where you'll build a books recommender system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database. After ...
Learn OpenCV 4 By Building Projects, 2nd Edition
OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you're completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects.
You'll begin with the installation of OpenCV and the basics of image processing. Then, you'll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. ...
TensorFlow Machine Learning Projects
TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits - simplicity, efficiency, and flexibility - of using TensorFlow in various real-world projects. With the help of this book, you'll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem.
To start with, you'll get to grips with using TensorFlow for machine learning projects; you'll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification.
As you make your way through the book, you'll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative ...
Go Machine Learning Projects
Go is the perfect language for machine learning; it helps to clearly describe complex algorithms, and also helps developers to understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but also to have its performance measured.
The book begins by guiding you through setting up your machine learning environment with Go libraries and capabilities. You will then plunge into regression analysis of a real-life house pricing dataset and build a classification model in Go to classify emails as spam or ham. Using Gonum, Gorgonia, and STL, you will explore time series analysis along with decomposition and clean up your personal Twitter timeline by clustering tweets. In addition to this, you will learn how to recognize handwriting using neural networks and convolutional neural networks. Lastly, you'll learn how to choose the most appropriate m ...
Scaling Your Node.js Apps
Take your Node.js application into production-ready status, capable of scaling up to whatever your needs might be. You'll discover that architecting for successful, popular sites is an essential tool of any professional Node.js developer, and learning to scale your own applications is a great place to start.
Using this book you will learn when to scale, what factors should trigger scaling, and what architectural techniques are best suited for scaling. You will also explore common pitfalls that arise when scaling a Node.js application and solutions to correct them.
Including analyses of success cases at the largest-scale companies, such as Netflix and Paypal, this book will get you started with scaling in no time at all.
Determine what factors should trigger the need to scale; Discover different architectural patterns that lend themselves to scaling; Resolve problems that arise when scaling up a Node.js application; Monitor a platform in order to understand when to start scali ...