Tag Archives: Resilient

Six Months (Seven Series #2) by Dannika Dark

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Six Months (Seven Series #2) by Dannika Dark
English | March 23, 2014 | ISBN-10: 1495405915 | 340 pages | EPUB | 0.5 MB
Destiny will find you. April Frost is a compassionate young woman with a steady job and ambitious goals. But the harder she runs away from her past, the more it threatens to destroy her. When three strangers enter her life, April is forced to face her demons and it's a battle she may not win.

Six Months (Seven Series #2) by Dannika Dark
Private investigators in the Breed world are men who take risks, and Reno Cole is no exception. As a Shifter, he's expected to control his inner animal. But lately his wolf has been venturing dangerously close to the city, and he's about to discover why. When Reno is reintroduced to a family friend, the attraction is immediate. April captivates him with her secretive eyes and resilient spirit. She's also in trouble, and despite the fact she's a human, Reno can't turn his back on her.

April is caught between two worlds: One that threatens to bury her dreams and another that could fulfill them. Can she trust the wolf at her door and find the courage to overcome her demons?

17+
No Cliffhanger
HEA
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Silent Partner: A Memoir of My Marriage

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Silent Partner: A Memoir of My Marriage by DINA Matos McGREEVEY
2007 | ISBN: 1401303641 | English | 304 pages | PDF + EPUB | 1 + 2 MB

Silent Partner: A Memoir of My Marriage
The truth behind the lies.

It was an unforgettable scene. Dina Matos McGreevey, an attractive woman in her mid-thirties, wife, mother, and First Lady of the state of New Jersey, watched silently as her husband, then New Jersey Governor Jim McGreevey, resigned his office with the revelation that he was a "gay American." The picture of grace and loyalty, perfectly composed in her pale blue suit, Dina Matos McGreevey gave no sign of the tangled mixture of fear, sorrow, and anger she felt that day, no hint of the devastation that was to come. Since then she has been asked repeatedly about the nature of her marriage, about what she knew and when she knew it. Since then, she has remained silent. Until now.

Speaking up at last, Dina Matos McGreevey here recounts the details of her marriage to Jim McGreevey. What emerges is a tale of love and betrayal, of heartbreak and scandal . . . and, ultimately, hope.

It all began with so much promise. Dina Matos was a responsible and civic-minded young woman who fell in love with the passion of political action. When Jim McGreevey walked into her life, he appeared to be a kind and loving man, someone with whom she could build a life based on shared ideals, a strong spiritual commitment, and a desire to make a difference in the world. Beyond their initial chemistry, Dina Matos was attracted by Jim McGreevey's principles and his unwavering devotion to his work. She didn't know that his life, and thus their marriage, were built on a foundation of lies; that his past was littered with casual sexual encounters in seedy bookstores and public parks; or that, by his own admission, he began an adulterous affair with another man while she was in the hospital awaiting the birth of their child. "Could I have known," she asks. "How could I have known?"

With scalding honesty, she tells of her life with the former governor, of the politics and public service that brought them together, and the lies that tore them apart.

Here is a story of a marriage that was anything but happily-ever-after, told by a strong and resilient woman who can, and finally will, speak for herself.
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The Tao of Vegetable Gardening: Cultivating Tomatoes, Greens, Peas, Beans, Squash, Joy and Serenity

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The Tao of Vegetable Gardening: Cultivating Tomatoes, Greens, Peas, Beans, Squash, Joy and Serenity by Carol Deppe
English | Jan 26, 2015 | ISBN: 1603584870 | 288 Pages | EPUB/MOBI/AZW/PDF (Converted) | 19 MB
The Tao of Vegetable Gardening explores the practical methods as well as the deeper essence of gardening. In her latest book, groundbreaking garden writer Carol Deppe (The Resilient Gardener, Breed Your Own Vegetable Varieties) focuses on some of the most popular home garden vegetables-tomatoes, green beans, peas, and leafy greens-and through them illustrates the key principles and practices that gardeners need to know to successfully plant and grow just about any food crop.

The Tao of Vegetable Gardening: Cultivating Tomatoes, Greens, Peas, Beans, Squash, Joy and Serenity
Deppe's work has long been inspired and informed by the philosophy and wisdom of Tao Te Ching, the 2,500-year-old work attributed to Chinese sage Lao Tzu and the most translated book in the world after the Bible. The Tao of Vegetable Gardening is organized into chapters that echo fundamental Taoist concepts: Balance, Flexibility, Honoring the Essential Nature (your own and that of your plants), Effortless Effort, Non-Doing, and even Non-Knowing. Yet the book also offers a wealth of specific and valuable garden advice on topics as diverse as:

* The Eat-All Greens Garden, a labor- and space-efficient way to provide all the greens a family can eat, freeze, and dry-all on a tiny piece of land suitable for small-scale and urban gardeners.

* The growing problem of late blight and the future of heirloom tomatoes-and what gardeners can do to avoid problems, and even create new resistant varieties.

* Establishing a Do-It-Yourself Seed Bank, including information on preparing seeds for long-term storage and how to "dehybridize" hybrids.

* Twenty-four good places to not plant a tree, and thirty-seven good reasons for not planting various vegetables.

Designed for gardeners of all levels, from beginners to experienced growers, The Tao of Vegetable Gardening provides a unique frame of reference: a window to the world of nature, in the garden and in ourselves.
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Future Park: Imagining Tomorrow’s Urban Parks

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Future Park: Imagining Tomorrow's Urban Parks by Amalie Wright
2013 | ISBN: 0643100334 | English | 360 pages | PDF | 68 MB

Future Park: Imagining Tomorrow’s Urban Parks
Future Park invites Australian policy-makers and built environment professionals to consider the future of parks in our cities. It describes the economic, social and environmental benefits of urban parks, and then outlines the threats and challenges facing cities and communities in an age when more than half the world’s population are urban dwellers. This book introduces the need to embrace new public park thinking to ensure that benefits continue to be realized.

The first public parks were created on urban "greenfields". Once these designated sites had been used, cities looked towards post-industrial sites, and built parks in places that had suffered from environmental degradation, neglect, abandonment and conflict. With finite stocks of urban post-industrial land now also approaching exhaustion, more ways of making parks are required to create inclusive, accessible and resilient urban places. Future Park presents recent proposals and projects that coalesce around four broad themes – linkages, obsolescences, co-locations and installations – responding to contemporary urban paradoxes, and ensuring parks continue to play a vital role in the lives of our cities.

KEY FEATURES
– Global lessons for park design in Australia
– Ideas-based book with practical application
– Includes spectacular images of public spaces throughout the world
– Imaginative and resourceful responses to real challenges
– Features global lessons with spectacular images from around the world, including, Germany, Korea and the USA.
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Scikit-Learn Cookbook

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
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Scikit-Learn Cookbook

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
Download links
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Scikit-Learn Cookbook (PDF)

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

Scikit-Learn Cookbook (PDF)
About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.

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Secure and Resilient Software – Requirements, Test Cases, and Testing Methods

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Secure and Resilient Software – Requirements, Test Cases, and Testing Methods
2011 | ISBN: 143986621X | 278 pages | PDF | 3,7 MB

Secure and Resilient Software: Requirements, Test Cases, and Testing Methods provides a comprehensive set of requirements for secure and resilient software development and operation. It supplies documented test cases for those requirements as well as best practices for testing nonfunctional requirements for improved information assurance. This resource-rich book includes:

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