As she tries to recover from Rohit’s corrosive impact on her life, Sanjana reaches out to her sister Radhika for solace. With Radhika's help, Sanjana rediscovers the pleasures of casual sex and in doing so, rediscovers her own sexuality and happiness.

    With a philosopher's sense of inquiry, Auerbach recounts his childhood spent drawing ferns with the programming language Logo on the Apple IIe, his adventures in early text-based video games, his education as an engineer, and his contributions to instant messaging technology developed for Microsoft and the servers powering Google's data stores. A lifelong student of the systems that shape our lives--from the psychiatric taxonomy of the Diagnostic and Statistical Manual to how Facebook tracks and profiles its users--Auerbach reflects on how he has experienced the algorithms that taxonomize human speech, knowledge, and behavior and that compel us to do the same.Into this exquisitely crafted, wide-ranging memoir of a life spent with code, Auerbach has woven an eye-opening and searing examination of the inescapable ways in which algorithms have both standardized and coarsened our lives. As we engineer ever more intricate technology to translate our experiences and narrow the gap that divides us from the machine, Auerbach argues, we willingly erase our nuances and our idiosyncrasies--precisely the things that make us human.

    Find the best of the magazine's writing in Best of 2600: A Hacker Odyssey, a collection of the strongest, most interesting, and often most controversial articles covering 24 years of changes in technology, all from a hacker's perspective. Included are stories about the creation of the infamous tone dialer "red box" that allowed hackers to make free phone calls from payphones, the founding of the Electronic Frontier Foundation, and the insecurity of modern locks.

    

    Shivaji Sawant's Mrityunjaya is an outstanding instance of such a literary masterpiece in which a contemporary Marathi novelist investigates the meaning of the bewildering skein that is life through the personae of the Mahabharata protagonists. For over two decades since its first publication the vast non- Marathi and non-Hindi readership remained deprived of this remarkable exploration of the human psyche till the publication of this English translation by the Writers workshop – a contribution for which there is much to be grateful for. Mrityunjaya is the autobiography of Karna, and yet it is not just that. With deceptive case, Sawant brings into play an exceptional stylistic innovation by combining six "dramatic soliloquies" to form the nine books of this novel of epic dimensions. Four books are spoken by Karna. These are interspersed with a book each from the lips of his unwed mother Kunti, Duryodhana (who considers Karna his mainstay), Shon (Shatruntapa, his foster-brother, who here-worships him), his wife Vrishali to whom he is like a god and, last of all, Krishna. Sawant depicts an uncanny similarity between Krishna and Karna and hints at a mystic link between them, investing his protagonist with a more-than-human aura to offset the un-heroic and even unmanly acts which mar this tremendously complex and utterly fascinating creating of Vyasa.

    It describes 11 interpreters and 2 compilers, including very recent techniques of interpretation and compilation. The book is in two parts. The first starts from a simple evaluation function and enriches it with multiple name spaces, continuations and side-effects with commented variants, while at the same time the language used to define these features is reduced to a simple lambda-calculus. Denotational semantics is then naturally introduced. The second part focuses more on implementation techniques and discusses precompilation for fast interpretation: threaded code or bytecode; compilation towards C. Some extensions are also described such as dynamic evaluation, reflection, macros and objects. This will become the new standard reference for people wanting to know more about the Lisp family of languages: how they work, how they are implemented, what their variants are and why such variants exist. The full code is supplied (and also available over the Net). A large bibliography is given as well as a considerable number of exercises. Thus it may also be used by students to accompany second courses on Lisp or Scheme.

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

    Available here:readmeaway.com/download?i=1593279523The Linux Command Line, 2nd Edition: A Complete Introduction PDF by William ShottsRead The Linux Command Line, 2nd Edition: A Complete Introduction PDF from No Starch Press,William ShottsDownload William Shotts’s PDF E-book The Linux Command Line, 2nd Edition: A Complete Introduction

    Two of the leading authorities in the field, Mike Blaha, and Jim Rumbaugh, have thoroughly revised the book to provide a quintessential reference to UML 2.0 and its application for practical, usable state of the art Object-Oriented strategies in the design and implementation of complex object-oriented software systems.

    This work provides instructions, scripts, and tips to guide readers for grounding with discussions of the scripting language (PHP) and then the database program (MySQL).

    Brand New

    Many examples are taken from real-world projects. The book focuses on high-level design as well as the gritty details of the Python syntax. The provided exercises inspire the reader to think about his or her own code, rather than providing solved problems. If you're new to Object Oriented Programming techniques, or if you have basic Python skills and wish to learn in depth how and when to correctly apply Object Oriented Programming in Python, this is the book for you. If you are an object-oriented programmer for other languages, you too will find this book a useful introduction to Python, as it uses terminology you are already familiar with. Python 2 programmers seeking a leg up in the new world of Python 3 will also find the book beneficial, and you need not necessarily know Python 2.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Aging computer systems present complex technical challenges for organizations both large and small, and Kill It with Fire provides sound strategies for spearheading modernization efforts.Kill It with Fire examines aging computer systems, the evolution of technology over time, and how organizations can modernize, maintain, and future-proof their current systems.In playful and engaging prose, Marianne Bellotti uses real-world case studies to illustrate the technical challenges of modernizing complex legacy systems, as well as the organizational challenges of time-intensive maintenance efforts. The book explains how to evaluate existing architecture, create upgrade plans, and handle communication structures. Team exercises and historical analyses of complex computer systems make this a valuable resource for those in both older and newer companies, and will help readers restore or create systems built to evolve as time goes on.