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2010, Shroff/O'Reilly, N, 2, Paperback, New, Biersdorfer

With over 250,000 apps to choose from in Apple's App Store, you can make your iPhone or iPod Touch do just about anything you can imagine -- and almost certainly a few things you would never think of. While it's not hard to find apps, it is frustratingly difficult to find the the best ones.

That's where this new edition of Best iPhone Apps comes in. New York Times technology columnist J.D. Biersdorfer has stress-tested hundreds of the App Store's mini-programs and hand-picked more than 200 standouts to help you get work done, play games, stay connected with friends, explore a new city, get in shape, and more.

With your device, you can use your time more efficiently with genius productivity apps, or fritter it away with deliriously fun games. Play the part of a local with brilliant travel apps, or stick close to home with apps for errands, movie times, and events. Get yourself in shape with fitness programs, or take a break and find the best restaurants in town. No matter how you want to use your iPhone or iPod Touch, Best iPhone Apps helps you unlock your glossy gadget's potential.

Discover great apps to help you:

  • Get work done
  • Connect with friends
  • Play games
  • Juggle documents
  • Explore what’s nearby
  • Get in shape
  • Travel the world
  • Find new music
  • Dine out
  • Manage your money

    ...and much more!
About the Author
J.D. Biersdorfer
is the author of iPad: The Missing Manual, iPod: The Missing Manual and The iPod Shuffle Fan Book, and co-author of The Internet: The Missing Manual and the second edition of Google: The Missing Manual. She has been writing the weekly computer Q&A column for the Circuits section of The New York Times since 1998.
In stock
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Rs.375.00
2006, Shroff/Pragmatic Bookshelf, 1, India, Paperback, New, James Gray

If you’re just starting to learn Ruby, this book will help you to master how this exciting language is used in practice. If you’re an old Ruby hand, you will find plenty of new tricks to help you hone your skills on some tricky (and fun) challenges.

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Rs.450.00
2015, Shroff/O'Reilly, No, First, New, India, Zwieback
Failure is inevitable and a postmortem analysis, conducted in an open, blameless way, is the best way for IT techs and managers to learn from outages and near-misses. But when the "root cause" is determined to be "human error" (or worse, particular humans), the real causes and conditions are lost. In this insightful book, IT veteran Dave Zwieback shows you an approach for making postmortems blameless, so you can focus instead on addressing areas of fragility within systems and organizations. If you’re involved with assessing why something goes wrong on a project or at your company—as a system administrator, developer, team manager, or executive—the concrete steps in this guide will help you find a real solution that works. Recognize and mitigate the effects of stress during outages Learn how to communicate effectively in a charged, high-stakes postmortem conversation Collect the necessary data before the postmortem begins Focus on determining the actual causes and conditions of an outage Learn techniques for writing up a postmortem for either internal or external use About the Author Dave Zwieback has been managing large-scale, mission-critical infrastructure and teams for 17 years. He is the VP of Engineering at Next Big Sound. He was previously the Head of Infrastructure at Knewton, managed UNIX Engineering at D.E. Shaw & Co. and enterprise monitoring tools at Morgan Stanley, and also ran an infrastructure architecture consultancy for seven years. Follow Dave @mindweather or at mindweather.com.
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Rs.150.00
2015, Shroff/O'Reilly, No, First, New, India, Kromer
Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you’ll also learn how to use Apache Pig to process data. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset—baseball performance statistics—throughout the book Work with examples of several analytic patterns, and learn when and where you might use them About the Authors Flip is the founder and CTO at Infochimps.com, a big data platform that makes acquiring, storing and analyzing massive data streams transformatively easier. He enjoys Bowling, Scrabble, working on old cars or new wood, and rooting for the Red Sox. Russell Jurney cut his data teeth in casino gaming, building web apps to analyze the performance of slot machines in the US and Mexico. After dabbling in entrepreneurship, interactive media and journalism, he moved to silicon valley to build analytics applications at scale at Ning and LinkedIn. He lives on the ocean in Pacifica, California with his wife Kate and two fuzzy dogs.
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Rs.450.00
2011, Shroff/O'Reilly, N, 1, Paperback, New, Warden

To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment.

This handy glossary also includes a chapter of key terms that help define many of these tool categories:

  • NoSQL Databases—Document-oriented databases using a key/value interface rather than SQL
  • MapReduce—Tools that support distributed computing on large datasets
  • Storage—Technologies for storing data in a distributed way
  • Servers—Ways to rent computing power on remote machines
  • Processing—Tools for extracting valuable information from large datasets
  • Natural Language Processing—Methods for extracting information from human-created text
  • Machine Learning—Tools that automatically perform data analyses, based on results of a one-off analysis
  • Visualization—Applications that present meaningful data graphically
  • Acquisition—Techniques for cleaning up messy public data sources
  • Serialization—Methods to convert data structure or object state into a storable format
About the Author
A former Apple engineer, Pete Warden is the founder of OpenHeatMap, and writes on large-scale data processing and visualization.
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Rs.250.00
15x23x2, 2013, Shroff/O'Reilly, 1, India, Paperback, New, O'Reilly Media Inc.

The Big Data Now anthology is relevant to anyone who creates, collects or relies upon data. It's not just a technical book or just a business guide. Data is ubiquitous and it doesn't pay much attention to borders, so we've calibrated our coverage to follow it wherever it goes.

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Rs.250.00
No, 2016, Shroff/O'Reilly, First, India, Paperback, New, Kuldell
Today’s synthetic biologists are in the early stages of engineering living cells to help treat diseases, sense toxic compounds in the environment, and produce valuable drugs. With this manual, you can be part of it. Based on the BioBuilder curriculum, this valuable book provides open-access, modular, hands-on lessons in synthetic biology for secondary and post-secondary classrooms and laboratories. It also serves as an introduction to the field for science and engineering enthusiasts.

Developed at MIT in collaboration with award-winning high school teachers, BioBuilder teaches the foundational ideas of the emerging synthetic biology field, as well as key aspects of biological engineering that researchers are exploring in labs throughout the world. These lessons will empower teachers and students to explore and be part of solving persistent real-world challenges.

  • Learn the fundamentals of biodesign and DNA engineering
  • Explore important ethical issues raised by examples of synthetic biology
  • Investigate the BioBuilder labs that probe the design-build-test cycle
  • Test synthetic living systems designed and built by engineers
  • Measure several variants of an enzyme-generating genetic circuit
  • Model "bacterial photography" that changes a strain’s light sensitivity
  • Build living systems to produce purple or green pigment
  • Optimize baker’s yeast to produce ?-carotene
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Rs.850.00
2015, Shroff/O'Reilly, No, First, New, India, OReilly Media Inc.
BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You’ll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that’s interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We’d like BioCoder to become self supporting (maybe even profitable), but we’ll worry about that after we’ve got a few issues under our belt. If you’d like to contribute, send email to BioCoder@oreilly.com. Tell us what you’d like to do, and we’ll get you started. About the Author O'Reilly Media, Inc. O'Reilly Media, Inc. spreads the knowledge of innovators through its books, online services, magazines, research, and conferences. Since 1978, O'Reilly has been a chronicler and catalyst of leading-edge development, homing in on the technology trends that really matter and galvanizing their adoption by amplifying "faint signals" from the alpha geeks who are creating the future. An active participant in the technology community, the company has a long history of advocacy, meme-making, and evangelism.
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Rs.100.00
2015, Shroff/O'Reilly, No, First, New, India, O'Reilly Media
BioCoder is a quarterly newsletter for DIYbio, synthetic bio, and anything related. You’ll discover: Articles about interesting projects and experiments, such as the glowing plant Articles about tools, both those you buy and those you build Visits to DIYbio laboratories Profiles of key people in the community Announcements of events and other items of interest Safety pointers and tips about good laboratory practice Anything that’s interesting or useful: you tell us! And BioCoder is free (for the time being), unless you want a dead-tree version. We’d like BioCoder to become self supporting (maybe even profitable), but we’ll worry about that after we’ve got a few issues under our belt. If you’d like to contribute, send email to BioCoder@oreilly.com. Tell us what you’d like to do, and we’ll get you started. About the Author O'Reilly Media, Inc. O'Reilly Media, Inc. spreads the knowledge of innovators through its books, online services, magazines, research, and conferences. Since 1978, O'Reilly has been a chronicler and catalyst of leading-edge development, homing in on the technology trends that really matter and galvanizing their adoption by amplifying "faint signals" from the alpha geeks who are creating the future. An active participant in the technology community, the company has a long history of advocacy, meme-making, and evangelism.
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Rs.100.00
2015, Shroff/O'Reilly, No, First, New, India, Buffalo
Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you’ll learn how to use freely available open source tools to extract meaning from large complex biological data sets.

At no other point in human history has our ability to understand life’s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you’re ready to get started.
  • Go from handling small problems with messy scripts to tackling large problems with clever methods and tools
  • Process bioinformatics data with powerful Unix pipelines and data tools
  • Learn how to use exploratory data analysis techniques in the R language
  • Use efficient methods to work with genomic range data and range operations
  • Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM
  • Manage your bioinformatics project with the Git version control system
  • Tackle tedious data processing tasks with with Bash scripts and Makefiles
About the Author
Vince Buffalo is currently a first-year graduate student studying population genetics in Graham Coop's lab at UC Davis in the Population Biology Graduate Group. Before starting his PhD in population genetics, Vince worked professionally as a bioinformatician in the Bioinformatics Core at the UC Davis Genome Center and in the Department of Plant Sciences. An obsessive programmer since he was a young teenager, Vince was drawn to the statistical and computational problems of genomics. He works on open source bioinformatics tools in his work and free time, and enjoys fly fishing and cooking when away from the computer.
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Rs.1,400.00
2010, Shroff/O'Reilly, N, 1, Paperback, New, Model

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and Python modules that are particularly effective for bioinformatics programming.

Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics -- researchers, support staff, students, and software developers interested in writing bioinformatics applications.

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Rs.1,350.00
23x18x2, 2014, Shroff/Packt Publishing, 1, India, Paperback, New, Paurush Praveen Sinha

Bioinformatics with R Cookbook is a hands-on guide that provides you with a number of recipes offering you solutions to all the computational tasks related to bioinformatics in terms of packages and tested codes.

With the help of this book, you will learn how to analyze biological data using R, allowing you to infer new knowledge from your data coming from different types of experiments stretching from microarray to NGS and mass spectrometry.

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Rs.999.00