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Dawn of Destiny

### When the greatest horrors exist in the mind, how do you deal with a man who puts them there?
Julianne is the strongest mystic of her generation. Her mental magic might even be getting stronger… it’s hard to tell when her practice time is eaten up by paperwork and leading her people.
**That is, until a rogue mystic cult shows up, trying to drag Julianne into their plot for world domination.**
Crossing the dangerous Madlands and issuing a slap down to the bad guys is just the kind of trip she needs – **some quiet solitude and the chance to kick some ass. If only her smartass companions had stayed at home…**
**Set on the foundation laid by the Kurtherian Gambit Series, Dawn of Destiny tells an entirely new story in the Age of Magic.**

Dawn of Deliverance

### **When the worst horrors are in the mind, what do you do with the man who puts them there?**
****The battle was won, but the war has just begun. ****
**Tahn is the last bastion in the fight against the New Dawn, and Rogan is coming for them. **
Julianne has a plan, but like all plans, it’s not a guarantee. First, she needs to rescue the princess. Then, she needs to slay the dragon–well, Rogan. And not slay, so much as find a way to dismantle the dangerous death spell safeguarding his life.
**This mission will take all of Julianne’s wits to complete, and failing? That’s not an option.**
**Set on the foundation laid by the Kurtherian Gambit Series, Dawn of Deliverance tells an entirely new story in the Age of Magic.**

Dawn of Days

When the darkest terrors are in the mind, what do you do when the one who holds the leash on evil is dead. Dawners and remnant and ghosts, oh my! Julianne is on her way back to the Temple, but it looks like someone is racing to get there first. Someone with very bad intentions. Back across the Madlands, the Bette is dealing with a surge of remnant activity between Tahn and Muir that may not be what it seems, while Bastian has to wrestle with ghostly rumors to secure the perfect site for his new school.
**

Dawn of Darkness

### **When the greatest horrors exist in the mind, how do you deal with a man who puts them there?**
**Julianne may have saved Tahn, but the battle has only just begun.**
An upstart young lord decides Tahn is ripe for the picking, but a quick mind-read reveals there’s more to this than meets the eye.
**Between a creepy, magical circus troupe, two bickering rearick and the unexpected reappearance of The New Dawn, it looks like Julianne will never get the quiet break she hoped for. **
Still, they say a change is as good as a holiday, and at least she’ll get to kick some serious ass on the way…
**Set on the foundation laid by the Kurtherian Gambit Series, Dawn of Destiny tells an entirely new story in the Age of Magic.**

David Starr, Space Ranger

Six billion people on Earth depend on food imported from the farms on Mars, but someone is poisoning it. The Council of Science sends its newest member, “Lucky” Starr to stop the crime. Surviving a Martian dust storm, exploring the deepest ravines, Lucky discovers his true mission in life.

David Falkayn: Star Trader

The Polesotechnic League of star traders was prospering, and Nicholas Van Rijn, its most flamboyant member, was prospering most of all as commerce flowed between the stars. But not all League members played fair when trading, nor did some of the non-human races of the galaxy object to dirty tricks. Van Rijn could not be everywhere, and relied on his representatives, foremost among them his young protege, David Falkayn, and the members of David’s trader team: Adzel, a large dragon-likr being who practiced Buddhism, and Chee-Lan, a brilliant but hot-tempered felinesque extraterrestrial. This is the second volume in the first complete edition of Poul Anderson’s Technic Civilization saga. And, after the three volumes chronicling the Polesotechnic League’s rise and fall will come more volumes, telling of the rise of the Terran Empire and the adventures of Poul Anderson’s other legendary character, Captain Sir Dominic Flandry.

David Copperfield

Drawing on Charles Dickens’s own, often difficult childhood, to create a compelling story of personal success, David Copperfield is edited with an introduction and notes by Jeremy Tambling in Penguin Classics. David Copperfield is the story of a young man’s adventures on his journey from an unhappy and impoverished childhood to the discovery of his vocation as a successful novelist. Among the gloriously vivid cast of characters he encounters are his tyrannical stepfather, Mr Murdstone; his brilliant, but ultimately unworthy school-friend James Steerforth; his formidable aunt, Betsey Trotwood; the eternally humble, yet treacherous Uriah Heep; frivolous, enchanting Dora Spenlow; and the magnificently impecunious Wilkins Micawber, one of literature’s great comic creations. In David Copperfield – the novel he described as his ‘favourite child’ – Dickens drew revealingly on his own experiences to create one of the most exuberant and enduringly popular works, filled with tragedy and comedy in equal measure. This edition uses the text of the first volume publication of 1850, and includes updated suggestions for further reading, original illustrations by ‘Phiz’, a revised chronology and expanded notes. In his new introduction, Jeremy Tambling discusses the novel’s autobiographical elements, and its central themes of memory and identity. Charles Dickens is one of the best-loved novelists in the English language, whose 200th anniversary was celebrated in 2012. His most famous books, including Oliver Twist, Great Expectations, A Tale of Two Cities, David Copperfield and The Pickwick Papers, have been adapted for stage and screen and read by millions. If you enjoyed David Copperfield, you might like Dickens’s Great Expectations, also available in Penguin Classics. ‘The most perfect of all the Dickens novels’ Virginia Woolf
**Recensie(s)**

The most perfect of all the Dickens novels. –Virginia Woolf
(source: Bol.com)

David and Goliath: Underdogs, Misfits, and the Art of Battling Giants

**Malcolm Gladwell, the #1 bestselling author of *The Tipping Point, Blink, Outliers,* and *What the Dog Saw,* offers his most provocative—and dazzling—book yet.
**
Three thousand years ago on a battlefield in ancient Palestine, a shepherd boy felled a mighty warrior with nothing more than a stone and a sling, and ever since then the names of David and Goliath have stood for battles between underdogs and giants. David’s victory was improbable and miraculous. He *shouldn’t* have won.
Or should he have?
In *David and Goliath* , Malcolm Gladwell ** challenges how we think about obstacles and disadvantages, offering a new interpretation of what it means to be discriminated against, or cope with a disability, or lose a parent, or attend a mediocre school, or suffer from any number of other apparent setbacks.
Gladwell begins with the *real* story of what happened between the giant and the shepherd boy those many years ago. From there, *David and Goliath* examines Northern Ireland’s Troubles, the minds of cancer researchers and civil rights leaders, murder and the high costs of revenge, and the dynamics of successful and unsuccessful classrooms—all to demonstrate how much of what is beautiful and important in the world arises from what looks like suffering and adversity.
In the tradition of Gladwell’s previous bestsellers— *The Tipping Point* , *Blink* , *Outliers* and *What the Dog Saw—* *David and Goliath* draws upon history, psychology, and powerful storytelling to reshape the way we think of the world around us.
### Review
**Praise for *Outliers* :
**
“In the vast world of nonfiction writing, Malcolm Gladwell is as close to a singular talent as exists today… *Outliers* is a pleasure to read and leaves you mulling over its inventive theories for days afterward.” ( ** *New York Times Book Review*** ***David Leonhardt*** )
“The explosively entertaining *Outliers* might be Gladwell’s best and most useful work yet…There are both brilliant yarns and life lessons here: *Outliers* is riveting science, self-help, and entertainment, all in one book.” ( ** *Entertainment Weekly*** ***Gregory Kirschling*** )
“No other book I read this year combines such a distinctive prose style with truly thought-provoking content. Gladwell writes with a high degree of dazzle but at the same time remains as clear and direct as even Strunk or White could hope for.” ( ** *Atlanta Journal Constitution*** )
“[An] important new book…Gladwell intelligently captures a larger tendency of thought-the growing appreciation of the power of cultural patterns, social contagions, memes…Gladwell’s social determinism is a useful corrective to the Homo economicus view of human nature.” ( ** *New York Times*** ***David Brooks*** )
“Thought-provoking, entertaining, and irresistibly debatable…[ *Outliers* ] is another winner from this agile social observer.” ( ** *Christian Science Monitor*** ***Heller McAlpin*** )
” *Outliers* is required reading for boardroom and watercooler crowds alike.” ( ** *Men’s Health*** )
“In *Outliers* , Gladwell ( *The Tipping Point* ) once again proves masterful in a genre he essentially pioneered-the book that illuminates secret patterns behind everyday phenomena.” ( ** *Publishers Weekly*** )
**Praise for *The Tipping Point* :
**
“A fascinating book that makes you see the world in a different way.” ( ** *Fortune*** )
“Gladwell’s theories could be used to run businesses more effectively, to turn products into runaway bestsellers, and perhaps most important, to alter human behavior.” ( ** *New York Times*** )
**Praise for *Blink* :**
“A real pleasure…Brims with surprising insights about our world and ourselves.” ( **Salon.com** )
“Intoxicating. Gladwell is an engaging writer and a first-rate tour guide.” ( ** *Los Angeles Times*** ***Thane Rosenbaum*** )
” *Blink* moves quickly through a series of delightful stories. Always dazzling us with fascinating information and phenomena.” ( ** *New York Times Book Review*** ***David Brooks*** )
### About the Author
Malcolm Gladwell has been a staff writer at *The* *New Yorker* since 1996. He is the author of *The Tipping Point, Blink, Outliers,* and *What the Dog Saw.* Prior to joining *The New Yorker,* he was a reporter at the *Washington Post.* Gladwell was born in England and grew up in rural Ontario. He now lives in New York.

Daughter of the Empire

Book one in the magnificent Empire Trilogy by bestselling authors Raymond E. Feist and Janny Wurts, now available in ebook format.
Enter the mysterious and exotic world of Kelewan…
Mara, the youngest child of the ancient and noble Acoma family, is about to take her pledge of servitude to the goddess Lashima when the ceremony is disrupted by news of her father and brother’s death in battle.
Despite her grief, as the only surviving member of her house, Mara must now take up the mantles of Ruling Lady. But she soon discovers betrayal at the heart of her family’s loss, and the Acoma’s enemies have brought her house to the brink of utter destruction.
Daughter of the Empire is the magnificent first book in The Empire Trilogy by Raymond E. Feist and Janny Wurts.
Mara, an inexperienced political player, must draw on all her wit, intelligence and cunning to navigate the ruthless Game of the Council, regain the honour of House Acoma and secure the future of her family. But with assassins waiting around every corner, it might take everything Mara has simply to survive.
Daughter of the Empire is the first in Feist and Wurts’ wonderful epic trilogy – one of the most successful fantasy collaborations of all time. The trilogy continues with the second book, Servant of the Empire.
**
### Recensione
‘A gripping tale.’
The Times
### Sinossi
Book one in the magnificent Empire Trilogy by bestselling authors Raymond E. Feist and Janny Wurts, now available in ebook format.
Enter the mysterious and exotic world of Kelewan…
Mara, the youngest child of the ancient and noble Acoma family, is about to take her pledge of servitude to the goddess Lashima when the ceremony is disrupted by news of her father and brother’s death in battle.
Despite her grief, as the only surviving member of her house, Mara must now take up the mantles of Ruling Lady. But she soon discovers betrayal at the heart of her family’s loss, and the Acoma’s enemies have brought her house to the brink of utter destruction.
Daughter of the Empire is the magnificent first book in The Empire Trilogy by Raymond E. Feist and Janny Wurts.
Mara, an inexperienced political player, must draw on all her wit, intelligence and cunning to navigate the ruthless Game of the Council, regain the honour of House Acoma and secure the future of her family. But with assassins waiting around every corner, it might take everything Mara has simply to survive.
Daughter of the Empire is the first in Feist and Wurts’ wonderful epic trilogy – one of the most successful fantasy collaborations of all time. The trilogy continues with the second book, Servant of the Empire.

Date with a Sheesha

You are invited to the death of Nayan Gupta.When a mysterious card arrives in the mail, RussellQuant has a date with murder. From the glitzy high rises of Dubai and frankincense fields of Oman, to the scorching sand dunes of SaudiArabia, gay Saskatoon PI Russell Quant takes a magiccarpet ride that skids to a deadly halt on the icy surfaceof a frozen pond in the middle of theSaskatchewan prairie. This is Russell Quants wildest case ever: carpetexpert Nayan Gupta has been found murdered inDubais old souk and Russell must sift through layersof deception and danger to get to the truth. Its a perilousvoyage that pits Quants wits against a snootymuseum curator, a bevy of shifty carpet merchants,and the denizens of an underground club for fabulousmen. As Russells spicy foreign adventure heats up, helearns a valuable lesson about love, life and the importanceof seizing the momentbefore its gone. On theverge of making the biggest personal decision of hislife, Russell discovers that endings sometimes comebefore beginnings.
(source: Bol.com)

Data-driven Graphic Design

Digital technology has not only revolutionized the way designers work, but also the kinds of designs they produce. The development of the computer as a design environment has encouraged a new breed of digital designer; keen to explore the unique creative potential of the computer as an input/output device. *Data-driven Graphic Design* introduces the creative potential of computational data and how it can be used to inform and create everything from typography, print and moving graphics to interactive design and physical installations. Using code as a creative environment allows designers to step outside the boundaries of commercial software tools, and create a set of unique, digitally informed pieces of work. The use of code offers a new way of thinking about and creating design for the digital environment.Each chapter outlines key concepts and techniques, before exploring a range of innovative projects through case studies and interviews with the artists and designers who created them. These provide an inspirational, real-world context for every technique. Finally each chapter concludes with a Code section, guiding you through the process of experimenting with each technique yourself (with sample projects and code examples using the popular Processing language supplied online to get you started).
(source: Bol.com)

Data Science Programming in Python

Data Science Programming In Python by Anita Raichand
Learn Data Science Programming in Python including munging, aggregating, and visualizing data.

Data Science

Data Science by John D. Kelleher, Brendan Tierney
**A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.**
The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.
It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

Data Analysis from Scratch with Python

#### ***** BUY NOW (will soon return to 19.77 $) ****
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# Are you thinking of becoming a data analyst using Python? (For Beginners)
If you are looking for a complete guide to data analysis using Python language this book is for you.
## From AI Sciences Publisher
Our books may be the best one for beginners; it’s a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.To get the most out of the concepts that would be covered, readers are advised to adopt hands on approach, which would lead to better mental representations.
## Step By Step Guide and Visual Illustrations and Examples
The Book give complete instructions for manipulating, processing, cleaning, modeling and crunching datasets in Python. This is a hands-on guide with practical case studies of data analysis problems effectively. You will learn pandas, NumPy, IPython, and Jupiter in the Process.
## What’s Inside This Book?
* Introduction
* Why Choose Python for Data Science & Machine Learning
* Prerequisites & Reminders
* Python Quick Review
* Overview & Objectives
* Getting & Processing Data
* Data Visualization
* Supervised & Unsupervised Learning
* Regression
* Simple Linear Regression
* Multiple Linear Regression
* Decision Tree
* Random Forest
* Classification
* Logistic Regression
* K-Nearest Neighbors
* Decision Tree Classification
* Random Forest Classification
* Clustering
* Goals & Uses of Clustering
* K-Means Clustering
* Anomaly Detection
* Association Rule Learning
* Explanation
* Apriori
* Reinforcement Learning
* What is Reinforcement Learning
* Comparison with Supervised & Unsupervised Learning
* Applying Reinforcement Learning
* Neural Networks
* An Idea of How the Brain Works
* Potential & Constraints
* Here’s an Example
* Natural Language Processing
* Analyzing Words & Sentiments
* Using NLTK
* Model Selection & Improving Performance
* Sources & References
* * *
## Frequently Asked Questions
Q: Is this book for me and do I need programming experience?A: if you want to smash Python for data analysis, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you’ll be OK.
Q: Does this book include everything I need to become a data science expert?A: Unfortunately, no. This book is designed for readers taking their first steps in data analysis and further learning will be required beyond this book to master all aspects.
Q: Can I have a refund if this book is not fitted for me?A: Yes, Amazon refund you if you aren’t satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email.
#### ***** MONEY BACK GUARANTEE BY AMAZON *****
* * *
## Editorial Reviews
*”Peters managed to combine theory with practice for absolute beginners. I was impressed to see how easy itis to implement the more simple algorithms from scratch, and while I would notdo that normally, it was very helpful to understand what’s going on behind thescenes.*
*I would recommend this for beginners in data analysisand machine learning.”*
**- Mike Beaunier**, **Data Scientist at Google.**
**

Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for Bi Systems

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also take a look at some popular data visualization libraries in Python.
Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python.
In conclusion, you will complete a detailed case study, where you’ll get a chance to revisit the concepts you’ve covered so far.
**What You Will Learn**
Use Python programming techniques for data science
Master data collections in Python
Create engaging visualizations for BI systems
Deploy effective strategies for gathering and cleaning data
Integrate the Seaborn and Matplotlib plotting systems
**Who This Book Is For**
Developers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.

Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems

Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as Jupyter Notebook and Spyder. After going through a primer on Python programming, you will grasp fundamental Python programming techniques used in data science. Moving on to data visualization, you will see how it caters to modern business needs and forms a key factor in decision-making. You will also take a look at some popular data visualization libraries in Python.
Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python.
In conclusion, you will complete a detailed case study, where you’ll get a chance to revisit the concepts you’ve covered so far.
**What You Will Learn**
Use Python programming techniques for data science
Master data collections in Python
Create engaging visualizations for BI systems
Deploy effective strategies for gathering and cleaning data
Integrate the Seaborn and Matplotlib plotting systems
**Who This Book Is For**
Developers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.