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Mission of Honor

The Star Kingdom of Manticore and the Republic of Haven have been enemies for Honor Harrington’s entire life, and she has paid a price for the victories she’s achieved in that conflict. And now the unstoppable juggernaut of the mighty Solarian League is on a collision course with Manticore. The millions who have already died may have been only a foretaste of the billions of casualties just over the horizon, and Honor sees it coming.
She’s prepared to do anything, risk anything, to stop it, and she has a plan that may finally bring an end to the Havenite Wars and give even the Solarian League pause. But there are things not even Honor knows about. There are forces in play, hidden enemies in motion, all converging on the Star Kingdom of Manticore to crush the very life out of it, and Honor’s worst nightmares fall short of the oncoming reality.
But Manticore’s enemies may not have thought of everything after all. Because if everything Honor Harrington loves is going down to destruction, it won’t be going alone.
At the publisher’s request, this title is sold without DRM (DRM Rights Management). **
### Sinossi
The Star Kingdom of Manticore and the Republic of Haven have been enemies for Honor Harrington’s entire life, and she has paid a price for the victories she’s achieved in that conflict. And now the unstoppable juggernaut of the mighty Solarian League is on a collision course with Manticore. The millions who have already died may have been only a foretaste of the billions of casualties just over the horizon, and Honor sees it coming.
She’s prepared to do anything, risk anything, to stop it, and she has a plan that may finally bring an end to the Havenite Wars and give even the Solarian League pause. But there are things not even Honor knows about. There are forces in play, hidden enemies in motion, all converging on the Star Kingdom of Manticore to crush the very life out of it, and Honor’s worst nightmares fall short of the oncoming reality.
But Manticore’s enemies may not have thought of everything after all. Because if everything Honor Harrington loves is going down to destruction, it won’t be going alone.
At the publisher’s request, this title is sold without DRM (DRM Rights Management).
### L’autore
With over eight million copies of his books in print and thirty titles on the  *New York Times*  bestseller list, David Weber is a science fiction powerhouse. In the vastly popular Honor Harrington series, the spirit of C.S. Forester’s Horatio Hornblower and Patrick O’Brian’s  *Master and Commander* lives on—into the galactic future. Books in the Honor Harrington and Honorverse series have appeared on twenty-one bestseller lists, including  *The Wall Street Journal, the New York Times* , and  *USA Today.*  Additional Honorverse collaborations include a spin-off mini-series Manticore Ascendant with *New York Times* best-selling author, Timothy Zahn; and with Eric Flint in the  *Crown of Slaves* , and  *Cauldron of Ghosts* contributing to his illustrious list of  *New York Times*  and International Best Seller Lists.
Best known for his spirited, modern-minded space operas, Weber is also the creator of the Oath of Swords fantasy series and the Dahak saga, a science fiction and fantasy hybrid. Weber has also engaged in a steady stream of best-selling collaborations, the Starfire Series with Steve White; The Empire of Man Series with John Ringo; the Multiverse Series with Linda Evans and Joelle Presby; and the Ring of Fire Series with Eric Flint.           
David Weber makes his home in South Carolina with his wife and children.

Minion

**There is one woman who is all that stands between us and the eternal night.**
**Here is an account of her legend….**
All Damali Richards ever wanted to do was create music and bring it to the people. Now she is a Spoken Word artist and the top act for Warriors of Light Records. But come nightfall, she hunts vampires and demons—predators that people tend to dismiss as myth or fantasy. But Damali and her Guardian team cannot afford such delusions, especially now, when a group of rogue vampires have been killing the artists of Warriors of Light and their rival, Blood Music. Strange attacks have also erupted within the club drug-trafficking network and drawn the attention of the police. These killings are a bit out of the ordinary, even for vampires. No neat puncture marks in the neck to show where the life’s blood has been sucked from the body. These bodies have been mutilated beyond recognition, indicating a blood lust and thirst for destruction that surpasses any Damali has encountered before. Damali soon discovers that behind these brutal murders is the most powerful vampire she has ever met, and this seductive beast is coming for her next. But his unholy intentions have also drawn the focus of other hellish dark forces. Soon Damali finds herself being pulled deeper into the vast and horrifying vampire world.

Mining Social Media

BuzzFeed News Senior Reporter Lam Thuy Vo explains how to mine, process, and analyze data from the social web in meaningful ways with the Python programming language.
Did fake Twitter accounts help sway a presidential election? What can Facebook and Reddit archives tell us about human behavior? In Mining Social Media, senior BuzzFeed reporter Lam Thuy Vo shows you how to use Python and key data analysis tools to find the stories buried in social media.
Whether you’re a professional journalist, an academic researcher, or a citizen investigator, you’ll learn how to use technical tools to collect and analyze data from social media sources to build compelling, data-driven stories.
Learn how to:
Write Python scripts and use APIs to gather data from the social web
Download data archives and dig through them for insights
Inspect HTML downloaded from websites for useful content
Format,…

Mini

Mini celebrates 60 amazing years of this iconic car, from its revolutionary introduction to the popularity of its new-generation models.

The first two-door Mini, introduced in 1959 and built until 2000, revolutionized automotive design with its innovative front-wheel-drive layout that made the car appear bigger on the inside than the outside. In 1999, the Mini was voted the second most influential car of the 20th century, behind the Ford Model T.

Designed for British Motor Corporation (BMC) by Sir Alec Issigonis and manufactured in England, Australia, Spain, Belgium, Chile, Italy, Portugal, South Africa, Uruguay, Venezuela, and Yugoslavia, the Mini was as successful in competition as it was on the street, winning the Monte Carlo Rally four times from 1964 through 1967.

Originally built by BMC, the Mini’s later parent company, Rover, was acquired by BMW in 1994. In 2000, BMW sold most of the Rover Group but retained the Mini brand. The…

Mid-Flinx

OVER THE EDGE
Where Flinx and his flying minidrag Pip went, trouble always followed–that law had governed their lives through years of unsought danger and galactic intrigue. Now an evil rich man was out to kidnap the minidrag for his personal zoo, and Flinx and Pip were on the run again–this time into uncharted space, on a random course they hoped would foil their pursuers.
They found more than they bargained for when they landed on Midworld, a verdant planet covered by an immense jungle, hosting an incredible variety of plant and animal life–all of it unknown and all of it deadly. And now they were in real trouble. Their hiding place was in danger of discovery, and their only hope lay with this bizarre and untamed planet . . . if it didn’t kill them first!

From the Paperback edition.

Micro

Build your own secret laboratory with 30 coding and electronic projects!
The BBC micro:bit is a tiny, cheap, yet surprisingly powerful computer that you can use to build cool things and experiment with code. The 30 simple projects and experiments in this book will show you how to use the micro:bit to build a secret science lab complete with robots, door alarms, lie detectors, and more—as you learn basic coding and electronics skills.
Here are just some of the projects you’ll build:
* A “light guitar” you can play just by moving your fingers
* A working lie detector
* A self-watering plant care system
* A two-wheeled robot
* A talking robotic head with moving eyes
* A door alarm made with magnets
Learn to code like a Mad Scientist!

Math: A Crash Course

It’s a sad truth that maths has the reputation of being “difficult.” Part of the problem is that many of us simply don’t speak the language. To a mathematician, an equation is a compact, efficient way to put across a relationship that would be far less comprehensible in words. But to many of us, the merest sign of an x, y, or symbol is an impenetrable mess that our eyes bounce off. This book provides an engaging overview of what maths is and what it can do, without having to solve simultaneous equations or prove geometric theorems, far more of us might get the point of it. It is divided into four chapters, each covering a major developmental route in the topic, from Arithmetic & Numbers to Geometry and from Algebra & Calculus to Applied Mathematics.

Mastering OpenCV 4 With Python: A Practical Guide Covering Topics From Image Processing, Augmented Reality to Deep Learning With OpenCV 4 and Python 3.7

**Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.** Key Features Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python Apply machine learning and deep learning techniques with TensorFlow, Keras, and PyTorch Discover the modern design patterns you should avoid when developing efficient computer vision applications Book Description OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you’ll get started by setting up OpenCV and delving into the key concepts of computer vision. You’ll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you’ll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You’ll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you’ll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you’ll be able to develop advanced computer vision applications to meet your customers’ demands. What you will learn Handle files and images, and explore various image processing techniques Explore image transformations, including translation, resizing, and cropping Gain insights into building histograms Brush up on contour detection, filtering, and drawing Work with Augmented Reality to build marker-based and markerless applications Work with the main machine learning algorithms in OpenCV Explore the deep learning Python libraries and OpenCV deep learning capabilities Create computer vision and deep learning web applications Who this book is for This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must. Table of Contents Setting up OpenCV Image basics in OpenCV Handling files and images Constructing basic shapes in OpenCV Image processing techniques Constructing and Building Histograms Thresholding techniques Contours Detection, filtering, and drawing Augmented reality and 3D Visualization Machine Learning and Deep Learning in OpenCV Face detection, tracking and recognition Introduction to deep learning Mobile and web computer vision with Python and OpenCV

Mastering OpenCV 4 With Python

**Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.**
#### Key Features
* Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python
* Apply machine learning and deep learning techniques with TensorFlow, Keras, and PyTorch
* Discover the modern design patterns you should avoid when developing efficient computer vision applications

#### Book Description
OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you’ll get started by setting up OpenCV and delving into the key concepts of computer vision. You’ll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you’ll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You’ll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you’ll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you’ll be able to develop advanced computer vision applications to meet your customers’ demands.
#### What you will learn
* Handle files and images, and explore various image processing techniques
* Explore image transformations, including translation, resizing, and cropping
* Gain insights into building histograms
* Brush up on contour detection, filtering, and drawing
* Work with Augmented Reality to build marker-based and markerless applications
* Work with the main machine learning algorithms in OpenCV
* Explore the deep learning Python libraries and OpenCV deep learning capabilities
* Create computer vision and deep learning web applications

#### Who this book is for
This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.
#### Table of Contents
1. Setting up OpenCV
2. Image basics in OpenCV
3. Handling files and images
4. Constructing basic shapes in OpenCV
5. Image processing techniques
6. Constructing and Building Histograms
7. Thresholding techniques
8. Contours Detection, filtering, and drawing
9. Augmented reality and 3D Visualization
10. Machine Learning and Deep Learning in OpenCV
11. Face detection, tracking and recognition
12. Introduction to deep learning
13. Mobile and web computer vision with Python and OpenCV

**
### Sinossi
**Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.**
#### Key Features
* Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python
* Apply machine learning and deep learning techniques with TensorFlow, Keras, and PyTorch
* Discover the modern design patterns you should avoid when developing efficient computer vision applications

#### Book Description
OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you’ll get started by setting up OpenCV and delving into the key concepts of computer vision. You’ll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you’ll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You’ll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you’ll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you’ll be able to develop advanced computer vision applications to meet your customers’ demands.
#### What you will learn
* Handle files and images, and explore various image processing techniques
* Explore image transformations, including translation, resizing, and cropping
* Gain insights into building histograms
* Brush up on contour detection, filtering, and drawing
* Work with Augmented Reality to build marker-based and markerless applications
* Work with the main machine learning algorithms in OpenCV
* Explore the deep learning Python libraries and OpenCV deep learning capabilities
* Create computer vision and deep learning web applications

#### Who this book is for
This book is designed for computer vision developers, engineers, and researchers who want to develop modern computer vision applications. Basic experience of OpenCV and Python programming is a must.
#### Table of Contents
1. Setting up OpenCV
2. Image basics in OpenCV
3. Handling files and images
4. Constructing basic shapes in OpenCV
5. Image processing techniques
6. Constructing and Building Histograms
7. Thresholding techniques
8. Contours Detection, filtering, and drawing
9. Augmented reality and 3D Visualization
10. Machine Learning and Deep Learning in OpenCV
11. Face detection, tracking and recognition
12. Introduction to deep learning
13. Mobile and web computer vision with Python and OpenCV

### L’autore
**Alberto Fernández Villán** is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q &A OpenCV forum.