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Learning Object-Oriented Programming
Learning Object-Oriented Programming

Learning Object-Oriented Programming is an easy-to-follow guide full of hands-on examples of solutions to common problems with object-oriented code in Python, JavaScript, and C#. It starts by helping you to recognize objects from real-life scenarios and demonstrates that working with them makes it simpler to write code that is easy to understand and reuse. You will learn to protect and hide data with the data encapsulation features of Python, JavaScript, and C#. You will explore how to maximize code reuse by writing code capable of working with objects of different types, and discover the advantage of duck typing in both Python and JavaScript, while you work with interfaces and generics in C#. With a fair understanding of interfaces, multiple inheritance, and composition, you will move on to refactor existing code and to organize your source for easy maintenance and extension. Learning Object-Oriented Programming will help you to make better, stronger, and reusable code. ...
Learning OpenCV, 2nd Edition
Learning OpenCV, 2nd Edition

Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. The 2nd edition is updated to cover new features and changes in OpenCV 2.0, especially the C++ interface. Computer vision is everywhere—in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book any developer or hobbyist needs to get started, with the help of hands-on exercises in each chapter. ...
Learning Robotics Using Python
Learning Robotics Using Python

Learning about robotics will become an increasingly essential skill as it becomes a ubiquitous part of life. Even though robotics is a complex subject, several other tools along with Python can help you design a project to create an easy-to-use interface. Learning Robotics Using Python is an essential guide for creating an autonomous mobile robot using popular robotic software frameworks such as ROS using Python. It also discusses various robot software frameworks and how to go about coding the robot using Python and its framework. It concludes with creating a GUI-based application to control the robot using buttons and slides. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble all things into a robot and how to bundle the software package. ...
Learning NumPy Array
Learning NumPy Array

NumPy is an extension of Python, which provides highly optimized arrays and numerical operations. NumPy replaces a lot of the functionality of Matlab and Mathematica specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility. This book will teach you about NumPy, a leading scientific computing library. This book enables you to write readable, efficient, and fast code, which is closely associated to the language of mathematics. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favorite programming language. You will learn about installing and using NumPy and related concepts. At the end of the book we will explore related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Learning NumPy Array will help you be productive with NumPy and write clean and f ...
Learning pandas
Learning pandas

This learner's guide will help you understand how to use the features of pandas for interactive data manipulation and analysis. This book is your ideal guide to learning about pandas, all the way from installing it to creating one- and two-dimensional indexed data structures, indexing and slicing-and-dicing that data to derive results, loading data from local and Internet-based resources, and finally creating effective visualizations to form quick insights. You start with an overview of pandas and NumPy and then dive into the details of pandas, covering pandas' Series and DataFrame objects, before ending with a quick review of using pandas for several problems in finance. With the knowledge you gain from this book, you will be able to quickly begin your journey into the exciting world of data science and analysis. ...
Learning Laravel's Eloquent
Learning Laravel's Eloquent

Learning Laravel's Eloquent starts off by taking you through setting up your first project and guiding you in creating a perfect Laravel environment. You will learn how to build the right database structure with the Migrations system and the Schema Builder class. Next, you will be introduced to the main element of Eloquent: the model. After treating the model as a single, isolated entity, you will learn how to create relations between them. You will be taken through organizing, filtering, and sorting your data with collections. You will then learn to enhance an application with new features using events and by creating new observers. Towards the end of the book, you will discover how to install, configure, and use the Eloquent ORM without Laravel. The book concludes by walking you through how to deal with complex problems and build advanced and flexible systems. ...
Node.js in Practice
Node.js in Practice

You've decided to use Node.js for your next project and you need the skills to implement Node in production. It would be great to have Node experts Alex Young and Marc Harter at your side to help you tackle those day-to-day challenges. With this book, you can! Node.js in Practice is a collection of 115 thoroughly tested examples and instantly useful techniques guaranteed to make any Node application go more smoothly. Following a common-sense Problem/Solution format, these experience-fueled techniques cover important topics like event-based programming, streams, integrating external applications, and deployment. The abundantly annotated code makes the examples easy to follow, and techniques are organized into logical clusters, so it's a snap to find what you're looking for. ...
Learning Karaf Cellar
Learning Karaf Cellar

Apache Karaf is a popular OSGi container that provides rich and broad features, and together with Cellar, you can easily manage farms of containers that provide synchronization between the instances of Karaf. In a real production system, users require a farm of containers to implement failover and scalability, as well as the tools required to provision the different members of a cluster. This book will help you understand the architecture, installation, and configuration of a cluster and teach you about different components and features to get the best out of a clustering solution using Apache Karaf Cellar. Learning Karaf Cellar starts with an introduction to some of the key features of Karaf. After a quick but detailed understanding of OSGi and Karaf, this book takes you through the concept of provisioning clusters and then covers what Cellar is and how to use it. ...
Python Machine Learning
Python Machine Learning

Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. ...
Learning to Love Data Science
Learning to Love Data Science

Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you'll appreciate how data science is fundamentally altering our world, for better and for worse. Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you'll find out how far data science reaches. ...
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