As compared to Book VIII of the DCFR, this volume contains additional and partly revised national notes, extended comments, translations of the black letter rules and adapted registers.
The "Principles of European Law" are published in co-operation with Oxford University Press and Staempfli (Switzerland).
In 2015, the theme of the school was Web Logic Rules. This Summer School is devoted to this perspective, and provides insight into the semantic Web, linked data, ontologies, rules, and logic.
Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.
By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.
Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?
Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.
Designed for horizontal scalability, OpenStack lets you build a cloud by integrating several technologies. This approach provides flexibility, but knowing which options to use can be bewildering. Once you complete this book, you’ll know the right questions to ask while you organize compute, storage, and networking resources. If you already know how to manage multiple Ubuntu machines and maintain MySQL, you’re ready to:Set up automated deployment and configurationDesign a single-node cloud controllerUse metrics to improve scalabilityExplore compute nodes, network design, and storageInstall OpenStack packagesUse an example architecture to help simplify decision-makingBuild a working environment to explore an IaaS cloudManage users, projects, and quotasTackle maintenance, debugging, and network troubleshootingMonitor, log, backup, and restore
Best Android Apps leads you beyond the titles in Android Market's "Top Paid" and "Top Free" bins to showcase apps that will truly delight, empower, and entertain you. The authors have tested and handpicked more than 200 apps and games, each listed with a description and details highlighting the app's valuable tips and special features. Flip through the book to browse their suggestions, or head directly to the category of your choice to find the best apps to use at work, on the town, at play, at home, or on the road.
Discover great Android apps to help you:Juggle tasksConnect with friendsPlay gamesOrganize documentsExplore what's nearbyGet in shapeTravel the worldFind new musicDine outManage your money
...and much more!
Tips and Techniques for Writing
Table of Contents
The Art of Writing
Writing Meaningful Content
The Will to Write
What Is Expected Of A Good Content Writer?
How to Become a Good Content Writer
Comparing Textbroker with Other Content Writing Companies
Non-USA resident – try Odesk
Knowing More about Textbroker
Winning with a Well-Written Test Article
Keeping Yourself Informed
How to Write Quality Articles
Catching The Reader’s Interest
Rereading and proper editing
Do the Math
Check out some of the other JD-Biz Publishing books
This book is going to give you an introduction on how to become a successful article and content writer on Textbroker. Unfortunately, writing for Textbroker is limited only to people based in the USA, due to taxation problems. I was a writer for eight months, there, so when I decided to change locations and careers, I decided to stay on with content writing.
This book is going to give you plenty of helpful tips and techniques, content writing profitably, what your clients are going to expect from you, and other useful information, including writing for websites.
A successful content writer is that responsible person who takes the undertaking of writing a newsletter, article, blog, website content, or develops content, with the specific goal of educating his readers or bloggers. His secondary goal is to drive traffic to the client’s website.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.Get a crash course in PythonLearn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data scienceCollect, explore, clean, munge, and manipulate dataDive into the fundamentals of machine learningImplement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommender systems, natural language processing, network analysis, MapReduce, and databases
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.What You Will LearnExplore how to use different machine learning models to ask different questions of your dataLearn how to build neural networks using Keras and TheanoFind out how to write clean and elegant Python code that will optimize the strength of your algorithmsDiscover how to embed your machine learning model in a web application for increased accessibilityPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringOrganize data using effective pre-processing techniquesGet to grips with sentiment analysis to delve deeper into textual and social media dataIn Detail
Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.
Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.Style and approach
Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
Updated to reflect recent advances in MySQL and InnoDB performance, features, and tools, this third edition not only offers specific examples of how MySQL works, it also teaches you why this system works as it does, with illustrative stories and case studies that demonstrate MySQL’s principles in action. With this book, you’ll learn how to think in MySQL.Learn the effects of new features in MySQL 5.5, including stored procedures, partitioned databases, triggers, and viewsImplement improvements in replication, high availability, and clusteringAchieve high performance when running MySQL in the cloudOptimize advanced querying features, such as full-text searchesTake advantage of modern multi-core CPUs and solid-state disksExplore backup and recovery strategies—including new tools for hot online backups
Let's face it, SQL is a deceptively simple language to learn, and many database developers never go far beyond the simple statement: SELECT columns FROM table WHERE conditions. But there is so much more you can do with the language. In the SQL Cookbook, experienced SQL developer Anthony Molinaro shares his favorite SQL techniques and features. You'll learn about:
Window functions, arguably the most significant enhancement to SQL in the past decade. If you're not using these, you're missing out
Powerful, database-specific features such as SQL Server's PIVOT and UNPIVOT operators, Oracle's MODEL clause, and PostgreSQL's very useful GENERATE_SERIES function
Pivoting rows into columns, reverse-pivoting columns into rows, using pivoting to facilitate inter-row calculations, and double-pivoting a result set
Bucketization, and why you should never use that term in Brooklyn.
How to create histograms, summarize data into buckets, perform aggregations over a moving range of values, generate running-totals and subtotals, and other advanced, data warehousing techniques
The technique of walking a string, which allows you to use SQL to parse through the characters, words, or delimited elements of a string
Written in O'Reilly's popular Problem/Solution/Discussion style, the SQL Cookbook is sure to please. Anthony's credo is: "When it comes down to it, we all go to work, we all have bills to pay, and we all want to go home at a reasonable time and enjoy what's still available of our days." The SQL Cookbook moves quickly from problem to solution, saving you time each step of the way.
This isn’t a book on theory. With detailed examples, sample scripts, and solid advice, software engineers with operations experience will learn specific techniques that 9apps routinely uses in its cloud infrastructures.Build cloud applications with the "rip, mix, and burn" approachGet a crash course on Amazon Web ServicesLearn the top ten tips for surviving outages in the cloudUse elasticsearch to build a dependable NoSQL data storeCombine AWS and PostgreSQL to build an RDBMS that scales wellCreate a highly available document database with MongoDB Replica Set and SimpleDBAugment Redis with AWS to provide backup/restore, failover, and monitoring capabilitiesWork with CloudFront and Route 53 to safeguard global content delivery
Linux Pocket Guide provides an organized learning path to help you gain mastery of the most useful and important commands. Whether you’re a novice who needs to get up to speed on Linux or an experienced user who wants a concise and functional reference, this guide provides quick answers.
Selected topics include:The filesystem and shellFile creation and editingText manipulation and pipelinesBackups and remote storageViewing and controlling processesUser account managementBecoming the superuserNetwork connectionsAudio and videoInstalling softwareProgramming with shell scripts
Do you want to earn more to improve you current financial situations?
Do you think having your own business cost a lot?
starting your own business is not easy. Even using Internet as the
medium, you still need money to buy products at the beginning.
there are ways that let you earn from the Internet without paying
anything. The methods are affordable for everyone. Using these methods,
you can earn not only a few bucks, but a full time income. You can get
enough and stable income, so that you can quit your annoying job. And,
the more important is, you don’t need to pay!
We are not going to
introduces methods such as online selling, since it cost you money
before earn you money. What we give you is the methods that you don't
need to pay anything, so that you can earn with $0 cost!
In this book, you will find out:
1. How to earn money from the Internet, not only a few hundred dollars, but a full time income!
2. The simple tools that you can use to earn big money with a few minutes administration
3. Step by step tutorials on how to start the earning. Even dummies can follow!
4. Wide ranges of earning methods. You can earn from multiple stable income sources!
introduce the earning methods that you don't need to work a lot, but
can earn you a lot. We'll tell you the tricks to do this!
Written by written by two experienced Zendesk product trainers, this book is distilled from years of working in the trenches, launching customer implementations, and answering thousands of questions from participants throughout the world. With it, you’ll be able to determine the best way to put Zendesk’s vast potential to work for your company.Apply custom branding to your user-facing support portalMitigate risk by implementing various Zendesk security featuresManage profiles and permissions for users, agents, and administratorsCreate tickets from email, voice, chat, feedback tabs, and social mediaCapture and classify help requests through standard and custom fieldsUse techniques to build an efficient agent support processAutomate your business rules in Zendesk to streamline your workflowProvide your customers with self-service support
Beginning Power BI with Excel 2013 guides you step by step through the process of analyzing and visualizing your data. Daniel R. Clark, an expert in BI training and a regular speaker on these topics, takes you through each tool in turn, using hands-on activities to consolidate what you’ve learned in each chapter.
Starting with Power Pivot, you will create robust scalable data models which will serve as the foundation of your data analysis. Once you have mastered creating suitable data models, you will use them to build compelling interactive visualizations in Power View. It’s often necessary to combine data from disparate sources into a data model. Power Query allows you to easily discover, combine, and refine data from a variety of sources, so you can make accurate judgments with all the available information. Geographical awareness is another common requirement of data analysis. Using Power Maps you will create captivating visualizations that map your data in space and time.
Beginning Power BI with Excel 2013 is your practical guide to getting maximum insight from your data, and presenting it with impact.
Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.Get started quickly with an R tutorial and hundreds of examplesExplore R syntax, objects, and other language detailsFind thousands of user-contributed R packages online, including BioconductorLearn how to use R to prepare data for analysisVisualize your data with R’s graphics, lattice, and ggplot2 packagesUse R to calculate statistical fests, fit models, and compute probability distributionsSpeed up intensive computations by writing parallel R programs for HadoopGet a complete desktop reference to R
While you can interface with Google in 97 languages and glean results in 35, you can't find any kind of instruction manual from Google. Lucky for you, our fully updated and greatly expanded second edition to the bestselling Google: The Missing Manual covers everything you could possibly want to know about Google, including the newest and coolest--and often most underused (what is Froogle, anyway?)--features. There's even a full chapter devoted to Gmail, Google's free email service that includes a whopping 2.5 GB of space).
This wise and witty guide delivers the complete scoop on Google, from how it works to how you can search far more effectively and efficiently (no more scrolling through 168 pages of seemingly irrelevant results); take best advantage of Google's lesser-known features, such as Google Print, Google Desktop, and Google Suggest; get your website listed on Google; track your visitors with Google Analytics; make money with AdWords and AdSense; and much more.
Whether you're new to Google or already a many-times-a-day user, you're sure to find tutorials, tips, tricks, and tools that take you well beyond simple search to Google gurudom.
15 yr old boy earns $15,000 a month - how about you?
22 yr old college student pays off college debt in one month - what on earth is happening and why aren't more people like you in on it?
This is your time, your Opportunity. There is a world of opportunities out there for you and “trust me” when I say; the time is now!
The economy is changing, while many still proclaim gloom and doom in some parts of the world people are out there, people just like you who are taking advantage of opportunities to make money with the technology that you yourself and millions out there are so familiar with.
For the young and the old, but especially for the young who are born with an apparent inherent understanding of the technology used today – you need to read this.
Many today are still talking about how the economy is struggling, how the youth of this generation are losing hope for a brighter tomorrow. Jobs are hard to come by for young people, there being taken by seniors because most cannot afford to retire. The fear of rising debt and the debt burden that is being placed on the next generation grows daily – but I would like to point out that, things are not that bad. That many are finding interesting new and fun ways of making money, of creating a future for themselves. Many of these entrepreneurial spirits are teens, young adults ranging in age of 13 to 22.You do not need to be Tech savvy.
While many are arguing on the news that the government needs to do something about the high rising prices of a college education, one young man paid off his college debt with the simple use of the technology you and I use today on a daily basis. Is he a genius? No. Is he alone in what he is doing? Not at all, there are many others who are doing just as well or even better than this young man.
Ask yourself these questions:
Am I using the technology available to me to its fullest?
Do I know how to use this advancing technology well?
If others are doing it, why can’t I?
Consider this: if you own and use a computer or a smartphone, you are halfway there.
This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.
Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Would you like to be able to access your most important files anywhere you go? Even better, would you like to be able to do it without bringing a flash drive with the files with you? Would you like to be able to share files with anyone automatically without having to send them anything? And they would be able to do the same for you.
Dropbox lets you do all of this--and more! This revolutionary cloud technology has a multitude of benefits, many of which that will help you be more productive in your job and school work. Warren R. Sullivan has written a guide to Dropbox that is perfect for everyone, from beginners to those who are looking for more advanced ways to use Dropbox.
Thinking, and betting, like the pros
"Most people in sports betting are looking at things the wrong way."
- Peter Webb, founder of Bet Angel
"Some people only ever seem to want to hit the sexy six, and not take the singles"
- Compton Hellyer, founder of Sporting Index
This is a book that teaches you how to bet on sports with the same discipline and mindset as the professionals.
Lots of books and websites give advice on profitable strategies - and tipsters and systems proliferate. But this is the only guide that helps you make your trades and bank your wins for the long term, avoiding the perennial dangers of overconfidence, irrationality and emotion.
However successful your selections, you are never safe from crippling losses until you know how to bet with the clear head and calm approach of the masters.
The simple fact is that most people betting on sports lose over the long term. Performance errors currently hamper the majority of bettors: they lose their bets because they first lose their heads.The only answer is to think differently. With chapters ranging across motivation, performance analysis, the betting process and going pro, this book is the definitive guide to achieving this:
- Use dozens of exercises to sharpen your thinking and refine your betting processes.
- Share in the exclusive insights of professional sports bettors, who reveal for the first time how they have built successful gambling careers.
- Benefit in every chapter from one-to-one training from the author, a professional sports and trading performance coach.
Sports Betting to Win is your own personal course for establishing a firm psychological foundation for long-term betting success.
This updated second edition provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Ideal for NoSQL newcomers and experienced MongoDB users alike, this guide provides numerous real-world schema design examples.Get started with MongoDB core concepts and vocabularyPerform basic write operations at different levels of safety and speedCreate complex queries, with options for limiting, skipping, and sorting resultsDesign an application that works well with MongoDBAggregate data, including counting, finding distinct values, grouping documents, and using MapReduceGather and interpret statistics about your collections and databasesSet up replica sets and automatic failover in MongoDBUse sharding to scale horizontally, and learn how it impacts applicationsDelve into monitoring, security and authentication, backup/restore, and other administrative tasks
Rather than run through all possible scenarios, this pragmatic operations guide calls out what works, as demonstrated in critical deployments.Get a high-level overview of HDFS and MapReduce: why they exist and how they workPlan a Hadoop deployment, from hardware and OS selection to network requirementsLearn setup and configuration details with a list of critical propertiesManage resources by sharing a cluster across multiple groupsGet a runbook of the most common cluster maintenance tasksMonitor Hadoop clusters—and learn troubleshooting with the help of real-world war storiesUse basic tools and techniques to handle backup and catastrophic failure
Detailing the hows and the whys of successful Essbase implementation, the book arms you with simple yet powerful tools to meet your immediate needs, as well as the theoretical knowledge to proceed to the next level with Essbase. Infrastructure, data sourcing and transformation, database design, calculations, automation, APIs, reporting, and project implementation are covered by subject matter experts who work with the tools and techniques on a daily basis. In addition to practical cases that illustrate valuable lessons learned, the book offers:
Undocumented Secrets—Dan Pressman describes the previously unpublished and undocumented inner workings of the ASO Essbase engine. Authoritative Experts—If you have questions that no one else can solve, these 12 Essbase professionals are the ones who can answer them. Unpublished—Includes the only third-party guide to infrastructure. Infrastructure is easy to get wrong and can doom any Essbase project. Comprehensive—Let there never again be a question on how to create blocks or design BSO databases for performance—Dave Farnsworth provides the answers within. Innovative—Cameron Lackpour and Joe Aultman bring new and exciting solutions to persistent Essbase problems.
With a list of contributors as impressive as the program of presenters at a leading Essbase conference, this book offers unprecedented access to the insights and experiences of those at the forefront of the field. The previously unpublished material presented in these pages will give you the practical knowledge needed to use this powerful and intuitive tool to build highly useful analytical models, reporting systems, and forecasting applications.
Bayesian methods of inference are deeply natural and extremely powerful. 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.
• 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.
Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing.Learn fundamental components such as MapReduce, HDFS, and YARNExplore MapReduce in depth, including steps for developing applications with itSet up and maintain a Hadoop cluster running HDFS and MapReduce on YARNLearn two data formats: Avro for data serialization and Parquet for nested dataUse data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer)Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with HadoopLearn the HBase distributed database and the ZooKeeper distributed configuration service
This book will help you:Become a contributor on a data science teamDeploy a structured lifecycle approach to data analytics problemsApply appropriate analytic techniques and tools to analyzing big dataLearn how to tell a compelling story with data to drive business actionPrepare for EMC Proven Professional Data Science Certification
Corresponding data sets are available at www.wiley.com/go/9781118876138.
Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.
Using real-life examples of domestic and international disasters, the book reveals how social media has quickly become a powerful tool for both providing emergency instruction to the public in real time and allowing responding agencies to communicate among themselves in crisis. A definitive and comprehensive source, the book explores topics such as:
Social media basics Citizen journalism Strategic implementation Safety and responsibility Monitoring and analytics Operational implementation Geolocation systems Crowdsourcing Public notification Mobile and other emerging technologies
Each chapter begins with a list of objectives and includes a collection of case examples of social media use in past events. Practitioner profiles show real people implementing the technology for real solutions. Demonstrating how to effectively apply social media technology to the next crisis, this is a must-read book for those charged with disaster management and response.
This book offers practical answers to some of the hardest questions faced by PL/SQL developers, including:What is the best way to write the SQL logic in my application code?
How should I write my packages so they can be leveraged by my entire team of developers?
How can I make sure that all my team's programs handle and record errors consistently?Oracle PL/SQL Best Practices summarizes PL/SQL best practices in nine major categories: overall PL/SQL application development; programming standards; program testing, tracing, and debugging; variables and data structures; control logic; error handling; the use of SQL in PL/SQL; building procedures, functions, packages, and triggers; and overall program performance.
This book is a concise and entertaining guide that PL/SQL developers will turn to again and again as they seek out ways to write higher quality code and more successful applications.
"This book presents ideas that make the difference between a successful project and one that never gets off the ground. It goes beyond just listing a set of rules, and provides realistic scenarios that help the reader understand where the rules come from. This book should be required reading for any team of Oracle database professionals."
--Dwayne King, President, KRIDAN Consulting
The Silicon Jungle is a cautionary fictional tale of data mining’s promise and peril. Baluja raises ethical questions about contemporary technological innovations, and how minute details can be routinely pieced together into rich profiles that reveal our habits, goals, and secret desires—all ready to be exploited.
The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and relational database implementations. COMN models enable an unprecedented level of traceability of requirements to implementation. COMN models can also represent the static structure of software and the predicates that represent the patterns of meaning in databases.
This book will teach you:the simple and familiar graphical notation of COMN with its three basic shapes and four line styles how to think about objects, concepts, types, and classes in the real world, using the ordinary meanings of English words that aren’t tangled with confused techno-speak how to express logical data designs that are freer from implementation considerations than is possible in any other notation how to understand key-value, document, columnar, and table-oriented database designs in logical and physical terms how to use COMN to specify physical database implementations in any NoSQL or SQL database with the precision necessary for model-driven development
The new edition includes: modifications to about 30-40% of the end of chapter problems; a new introduction to electromagnetics based on behavior of charges; a new section on units; MATLAB tools for solution of problems and demonstration of subjects; most chapters include a summary. The book is an undergraduate textbook at the Junior level, intended for required classes in electromagnetics. It is written in simple terms with all details of derivations included and all steps in solutions listed. It requires little beyond basic calculus and can be used for self-study. The wealth of examples and alternative explanations makes it very approachable by students.
More than 400 examples and exercises, exercising every topic in the book
Includes 600 end-of-chapter problems, many of them applications or simplified applications
Discusses the finite element, finite difference and method of moments in a dedicated chapter
This book is an in-depth guide to the use of pandas for data analysis, for either the seasoned data analysis practitioner or the novice user. It provides a basic introduction to the pandas framework, and takes users through the installation of the library and the IPython interactive environment. Thereafter, you will learn basic as well as advanced features, such as MultiIndexing, modifying data structures, and sampling data, which provide powerful capabilities for data analysis.
Author Jordan Goldmeier builds on a foundation of industry best practices, bringing his own forward-thinking approach to Excel and rich real-world experience, to distill a unique blend of advanced essentials. Among other topics, he covers advanced formula concepts like array formulas and Boolean logic and provides insight into better code and formulas development. He supports that insight by showing you how to build correctly with hands-on examples.
If for you, multithreading is an unsolved mystery and ARC is unexplored territory, then this is the book you'll need to make these concepts clear and send you on your way to becoming a master iOS and OS X developer.What are blocks? How are they used with GCD?Multithreading with GCDManaging objects with ARC
Let SQL Hacks serve as your toolbox for digging up and manipulating data. If you love to tinker and optimize, SQL is the perfect technology and SQL Hacks is the must-have book for you.
Ideal for beginners and professional database and web developers, this updated third edition covers powerful features in MySQL 5.6 (and some in 5.7). The book focuses on programming APIs in Python, PHP, Java, Perl, and Ruby. With more than 200+ recipes, you’ll learn how to:Use the mysql client and write MySQL-based programsCreate, populate, and select data from tablesStore, retrieve, and manipulate stringsWork with dates and timesSort query results and generate summariesUse stored routines, triggers, and scheduled eventsImport, export, validate, and reformat dataPerform transactions and work with statisticsProcess web input, and generate web content from query resultsUse MySQL-based web session managementProvide security and server administration
Building an Enterprise Architecture Practice provides practical advice on how to develop your enterprise architecture practice. The authors developed different tools and models to support organizations in implementing and professionalizing an enterprise architecture function. The application of these tools and models in many different organizations forms the basis for this book. The result is a hands-on book that will help you to avoid certain pitfalls and achieve success with enterprise architecture.
A lot of organizations nowadays have a team of enterprise architects at work but struggle with questions like:
• How do I show the added value of enterprise architecture?
• How do I determine what specific architectures are necessary for my organization?
• What steps do I need to take to improve my enterprise architecture practice?
• How do I fulfill the role of enterprise architect?
These questions are answered in this book and illustrated with a lot of best practices.
After reading the book the reader will have a better understanding of what makes enterprise architecture successful and will possess the tools to analyse his own situation and build an enterprise architecture practice accordingly.
This book clearly describes how to establish an architecture practice that delivers value for an organization. The authors demonstrate a wealth of experience and a deep understanding of the multifaceted nature of this challenging task and they provide sound advice on how to avoid the many pitfalls that may be encountered along the way.
Recognising that there is no 'one-size-fits-all' approach, they show how to deploy a range of practical tools and approaches that will enable each organization to create its own road map to success. In particular, their Maturity Matrix is invaluable for balancing architecture priorities and targeting improvements. The book makes a significant contribution to the professionalization of the architect role.
Sally Bean, Enterprise Architecture Consultant
Too many books on enterprise architecture leave one in a state of mental fuzziness: After reading them, the reader has learned a lot of impressive words but still does not know how to design an enterprise architecture. This step by step guide to DYA is different.
It provides pragmatic guidelines for developing enterprise architecture and presents a maturity model that helps the users of DYA to state realistic goals and to outline feasible steps to achieve these goals. Particularly useful is the emphasis on a coherent enterprise architecture vision, including the value added by the architecture. I warmly recommend this book to practicing enterprise architects.
Prof. Dr. Roel Wieringa, Universiteit Twente
In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.
Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and Hadoop
Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
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