Just like the previous books, this book inspires and induces a fist-pumping “I-can-do-it-too” moment from its readers. But this book goes a step further and answers the question: “Now what do I do next?” Dean Pax Lapid of the Entrepreneurs School of Asia, and self-help guru and motivational speaker Ping Sotto combine their vast experiences and share the formula to business success in this user-friendly workbook.

    Fifteen-year-old Hazel Winters and her six-year-old brother, William, are placed on a ship by an organization that relocates British orphans and children of poverty to new homes in Canada. Arrivals in the new land are exported to distributing houses, where devastation and heartache greet the youngsters as headmistresses govern their fate.The assurance of a better life across the ocean is far from what Hazel experiences. Through hardships and loneliness, she is determined to survive. Finding refuge in memories of the past, she clings to the dream of returning to her homeland while preserving a reunion in her heart.In 1890, orphaned Charlotte Appleton and her sister Ellie were scooped up from London’s streets and sent to new homes across the ocean. Although mere miles kept them apart, Charlotte never knew her sister’s whereabouts until a chance interaction reunites them. Together the siblings vow to make a difference for the families and home children of an institution in Toronto, Ontario.Can an unexpected guardian give Hazel renewed strength and resolve for a future of promise?Based on the child emigration movement that occurred from 1869 through the late1930s, this poignant tale follows the lives of siblings who were burdensome byproducts of Britain's poverty.

    

    It provides a compact, readable introduction to Git for new users, as well as a reference to common commands and procedures for those of you with Git experience.Written for Git version 1.8.2, this handy task-oriented guide is organized around the basic version control functions you need, such as making commits, fixing mistakes, merging, and searching history.Examine the state of your project at earlier points in timeLearn the basics of creating and making changes to a repositoryCreate branches so many people can work on a project simultaneouslyMerge branches and reconcile the changes among themClone an existing repository and share changes with push/pull commandsExamine and change your repository’s commit historyAccess remote repositories, using different network protocolsGet recipes for accomplishing a variety of common tasks

     Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

    But do you know how to use them to their greatest possible advantage? Only now, with the publication of Linkers & Loaders, is there an authoritative book devoted entirely to these deep-seated compile-time and run-time processes. The book begins with a detailed and comparative account of linking and loading that illustrates the differences among various compilers and operating systems. On top of this foundation, the author presents clear practical advice to help you create faster, cleaner code. You'll learn to avoid the pitfalls associated with Windows DLLs, take advantage of the space-saving, performance-improving techniques supported by many modern linkers, make the best use of the UNIX ELF library scheme, and much more. If you're serious about programming, you'll devour this unique guide to one of the field's least understood topics. Linkers & Loaders is also an ideal supplementary text for compiler and operating systems courses.

    This multigenerational saga follows the Kent family and their pursuit of a foothold and future in the expanding United States. From the family’s initial journey traveling to America’s shore to their voyage to the Western frontier, their fate is intertwined with the course of American history in these first three volumes of the series.  The Bastard: Denied his birthright as the illegitimate son of the Duke of Kentland, Philippe Charboneau seeks a new life in London, where he meets Benjamin Franklin and reads the works of patriot firebrand Sam Adams. Inspired by such brave new ideas, he travels to the American colonies at the brink of the Revolution. There he will choose his own name—Philip Kent—and finally decide his own fate.  The Rebels: Philip Kent fights as a Continental soldier at the Battle of Bunker Hill. In a bold move, he has taken up arms for the future of his new family. Spirited and unwavering in his dedication to his adopted homeland, Philip fights in the most violent battles in America’s early history. But far from the front lines, another battle rages that will sweep his wife, Anne, on her own perilous journey that may destroy all Philip has fought for.  The Seekers: Returning from fighting valiantly on the frontier, Abraham Kent—son of Philip and Anne—returns to Boston, only to realize that he cannot abide the confines of civilization. Determined not to live in his father’s shadow, he takes his young bride and settles on the American frontier. But the life of a pioneer comes at a high price, and the cost of Abraham’s restless ambitions may be more than he can bear.

    This well-respected text offers an accessible introduction to functional programming concepts and techniques for students of mathematics and computer science. The treatment is as nontechnical as possible, and it assumes no prior knowledge of mathematics or functional programming. Cogent examples illuminate the central ideas, and numerous exercises appear throughout the text, offering reinforcement of key concepts. All problems feature complete solutions.

    This guide also illustrates how to handle input and output, make programs perform repetitive tasks, manipulate data, hide information, use functions and build flexible, easily modifiable programs.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    In the early hours of 19 June 2004, 16-year-old Liam Kelly was lured to a location in Liverpool and shot dead. The following year, another Liverpudlian, 22-year-old mother of three, Lucy Hargreaves, was shot dead in her own home. Her partner and their 2-year-old daughter escaped after the house was set alight by leaping from a first-floor bedroom window. How could Parle have evaded national and international crime investigators for so long? Who is harbouring him? Bleksley is determined to find the answers. Immersing himself in the world of serious and organised crime, he has vowed not to rest until Parle is found. Two murders, one fugitive and a hunter tracking down the target. This is the gripping true story of hunting Britain’s most wanted murderer, going behind the scenes of the hit BBC Sounds podcast, Manhunt: Finding Kevin Parle. Author, investigator, broadcaster and the former Chief on Channel 4’s hit shows Hunted and Celebrity Hunted, Peter Bleksley has lived an astonishing life since retiring as a Scotland Yard Detective, where he earned a glittering reputation as a fearless undercover cop.

    J.K. Rowling, Hugh Jackman, Kathleen Turner, Stan Lee, James Belushi, Moon Zappa, Seth Green, Piers Morgan, Jodi Picoult, Stephen King, Phil Ramone, Michael Winner, Alan Cumming, Jerry Springer, Armistead Maupin, E from The Eels, Ferran Adrià, Rose McGowan, James Woods or Gillian Anderson.It is the perfect gift for your mum or dad, sister or brother, gran or granddad, or someone who is a teenager, even turning 16.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    Every chapter of this book contains excellent explanations and insights into the smaller but important decisions we continuously have to make when creating quality code and classes. Erich Gamma, IBM Distinguished Engineer Many teams have a master developer who makes a rapid stream of good decisions all day long. Their code is easy to understand, quick to modify, and feels safe and comfortable to work with. If you ask how they thought to write something the way they did, they always have a good reason. This book will help you become the master developer on your team. The breadth and depth of topics will engage veteran programmers, who will pick up new tricks and improve on old habits, while the clarity makes it accessible to even novice developers. Russ Rufer, Silicon Valley Patterns Group Many people don t realize how readable code can be and how valuable that readability is. Kent has taught me so much, I m glad this book gives everyone the chance to learn from him. Martin Fowler, chief scientist, ThoughtWorks Code should be worth reading, not just by the compiler, but by humans. Kent Beck distilled his experience into a cohesive collection of implementation patterns. These nuggets of advice will make your code truly worth reading. Gregor Hohpe, author of Enterprise Integration Patterns In this book Kent Beck shows how writing clear and readable code follows from the application of simple principles. Implementation Patterns will help developers write intention revealing code that is both easy to understand and flexible towards future extensions. A must read for developers who are serious about their code. Sven Gorts Implementation Patterns bridges the gap between design and coding. Beck introduces a new way of thinking about programming by basing his discussion on values and principles. Diomidis Spinellis, author of Code Reading and Code Quality Software Expert Kent Beck Presents a Catalog of Patterns Infinitely Useful for Everyday Programming Great code doesn t just function: it clearly and consistently communicates your intentions, allowing other programmers to understand your code, rely on it, and modify it with confidence. But great code doesn t just happen. It is the outcome of hundreds of small but critical decisions programmers make every single day. Now, legendary software innovator Kent Beck known worldwide for creating Extreme Programming and pioneering software patterns and test-driven development focuses on these critical decisions, unearthing powerful implementation patterns for writing programs that are simpler, clearer, better organized, and more cost effective. Beck collects 77 patterns for handling everyday programming tasks and writing more readable code. This new collection of patterns addresses many aspects of development, including class, state, behavior, method, collections, frameworks, and more. He uses diagrams, stories, examples, and essays to engage the reader as he illuminates the patterns. You ll find proven solutions for handling everything from naming variables to checking exceptions. This book coversThe value of communicating through code and the philosophy behind patterns How and when to create classes, and how classes encode logic Best practices for storing and retrieving state Behavior: patterns for representing logic, including alternative paths Writing, naming, and decomposing methods Choosing and using collections Implementation pattern variations for use in building frameworks Implementation Patterns will help programmers at all experience levels, especially those who have benefited from software patterns or agile methods. It will also be an indispensable resource for development teams seeking to work together more efficiently and build more maintainable software. No other programming book will touch your day-to-day work more often. "