Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re located—using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. Get a straightforward synopsis of the social web landscape Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn Learn how to employ easy-to-use Python tools to slice and dice the data you collect Explore social connections in microformats with the XHTML Friends Network Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google
To manage our environment sustainably, professionals must understand the quality and quantity of our natural resources. Statistical analysis provides information that supports management decisions and is universally used across scientific disciplines. Statistics in Natural Resources: Applications with R focuses on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines. This is a book well suited for current or aspiring natural resource professionals who are required to analyze data and perform statistical analyses in their daily work. More seasoned professionals who have previously had a course or two in statistics will also find the content familiar. This text can also serve as a bridge between professionals who understand statistics and want to learn how to perform analyses on natural resources data in R. The primary goal of this book is to learn and apply common statistical methods used in natural resources by using the R programming language. If you dedicate considerable time to this book, you will: Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data. Become competent in importing, analyzing, and visualizing complex data sets in the R environment. Recode, combine, and restructure data sets for statistical analysis and visualization. Appreciate probability concepts as they apply to environmental problems. Understand common distributions used in statistical applications and inference. Summarize data effectively and efficiently for reporting purposes. Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results. Understand which modeling frameworks are appropriate for your data and how to interpret predictions. Includes over 130 exercises in R, with solutions available on the book’s website.
A kneeling bench or kneeler for one person is also called a priedieu, that is to pray to God from the French. Let us read some of these papers that came forth from holy prayer. “The desire of a desire! As we speak of the delusive pleasures of this sinful and fleeting world as being false as the dream of a dream, meaning this to denote the very extreme of deceitfulness, the maximum of unreality, so the minimum of earnestness in our good desires, the least possible amount of determination in a holy purpose, might seem to be conveyed by the phrase, "the desire of a desire". Yet it is this that the penitent king puts forward as one of his claims on the mercy and bounty of his Creator, that at all times, in his very worst time, he had at least always coveted to desire the justifications of God.” Let us indeed have a true desire for Almighty God!Let us consider this in a talk about uncharitable talk: “We have all of us often been surprised at the disagreeable things that very pious and amiable people can allow themselves to say about other people. Persons who deny themselves every other sinful indulgence make compensation to themselves by indulging pretty freely in this. No doubt conversation is made more spicy by being well sprinkled over with proper names. The index at the end of most volumes is generally nothing more than a list of the persons referred to in the preceding pages; and the summary of most conversations might also be, not an Index Rerum, but an Index Nominum. When the interest flags, some one breaks in with the question, "Did you ,hear what happened to So-and-so last week?" In public and private discourse personality is a sovereign somnifuge.”Commenting on the sacred text: “Child, give Me thy heart,” Father Russell says: “This simple phrase furnishes a key to all the dealings of God with man. It does not explain-for mysteries cannot be explained-but it summarizes, it announces clearly and briefly, the mystery of mysteries, which alone explains all other mysteries: namely, the supreme mystery of God's love for man.”A chapter is devoted to considering the four 'fiats' that is let it be done, such as the fiat that created the world and the Annunciation of the Blessed Virgin Mary. And let us consider some thoughts on pain: “THERE have been many things written on the blessingsof pain. "Pain," says a recent writer, "is a hideous fairy, repulsive yet benevolent. It is a protector and monitor, a companion whose good offices are not valued until he has departed. The traps and snares of life would remain hidden without pain. Imagine," he adds, "the consequences resulting from the absence of any pain-for instance, hunger, indigestion, fatigue, etc." Yes, both in the physical and in the moral order pain plays a very useful part. This thesis, however, is not to be proved here, except in as far as a proof of its spiritual efficacy may be implied in some of the testimonies which we now proceed to adduce from various quarters in favour of pain.” He then proceeds to quote from Father Faber, Saint Teresa and Saint Mary Magdalene de Pazzi.He follows with thoughts for Good Friday, Ascension and several other times of the year. “"To Thee, O Lord! have I lifted up my soul."A good beginning for every prayer and every meditation, but especially for a meditation, however brief and slight, on my sins. Before daring to think of my sins I must first try to lift up my soul to God, to live in the white light of His sanctity. To grope among the sins and the miseries of the past may be dangerous in some states of the soul It may be a fresh temptation.”
How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs. Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format 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.
Far too often in the ?eld of archeology, the wheel of understanding and insight has a narrow focus that fails to recognize critical studies. Crucial information rega- ing pivotal archeological investigations at a variety of sites worldwide is extremely dif?cult, if not impossible, to obtain. The majority of archeological analysis and reporting, at best, has limited publication. The majority of archeological reports are rarely seen and when published are often only in obscure or out-of-print journals – the reports are almost as hard to ?nd as the archeological sites themselves. There is a desperate need to pull seminal archeological writings together into single issue or thematic volumes. It is the int- tion of this series, When the Land Meets the Sea, to address this problem as it relates to archeological work that encompasses both terrestrial and underwater archeology on a single site or on a collection of related sites. For example, despite the fact that we know that bays and waterways structured historic settlement, there is a lack of archeological literature that looks at both the nautical and terrestrial signatures of watersheds in?uence on historic culture.
Of all the Ajax-specific frameworks that have popped up in recent years, one clearly stands out as the industrial strength solution. Dojo is not just another JavaScript toolkit—it's the JavaScript toolkit—and Dojo: The Definitive Guide demonstrates how to tame Dojo's extensive library of utilities so that you can build rich and responsive web applications like never before. Dojo founder Alex Russell gives a foreword that explains the "why" of Dojo and of this book. Dojo provides an end-to-end solution for development in the browser, including everything from the core JavaScript library and turnkey widgets to build tools and a testing framework. Its vibrant open source community keeps adding to Dojo's arsenal, and this book provides an ideal companion to Dojo's official documentation. Dojo: the Definitive Guide gives you the most thorough overview of this toolkit available, showing you everything from how to create complex layouts and form controls closely resembling those found in the most advanced desktop applications with stock widgets, to advanced JavaScript idioms to AJAX and advanced communication transports. With this definitive reference you get: Get a concise introduction to Dojo that's good for all 1.x versions Well-explained examples, with scores of tested code samples, that let you see Dojo in action A comprehensive reference to Dojo's standard JavaScript library (including fundamental utilities in Base, Dojo's tiny but powerful kernel) that you'll wonder how you ever lived without An extensive look at additional Core features, such as animations, drag-and-drop, back-button handling, animations like wipe and slide, and more Exhaustive coverage of out-of-the-box Dijits (Dojo widgets) as well as definitive coverage on how to create your own, either from scratch or building on existing ones An itemized inventory of DojoX subprojects, the build tools, and the DOH, Dojo's unit-testing framework that you can use with Dojo—or anywhere else If you're a DHTML-toting web developer, you need to read this book—whether you're a one-person operation or part of an organization employing scores of developers. Dojo packs the standard JavaScript library you've always wanted, and Dojo: The Definitive Guide helps you transform your ideas into working applications quickly by leveraging design concepts you already know.
A daily visit to the Blessed Sacrament is recommended to all faithful Catholics, and yet what to do, during that visit. How can we keep it from becoming a routine of the same prayers rattled off day after day? How can we go and spend quality time with the Prisoner of Love? Father Russell offers us an observation: “In these Visits the thoughts suggested are not always thrown into the form of a prayer. One cannot at all times command the attention and fervour that one desires to have while addressing directly the Divine Tenant of the Tabernacle. It is useful sometimes to interrupt our prayer and to let the mind rest quietly on some thought holy enough for the sacred spot where we are kneeling or sitting.”And let us consider this: “SACRAMENTUM altaris est amor amorum. This phrase of St. Bernard means, no doubt, that the Sacrament of the Altar is the supreme proof of God's love for man. But the Sacrament of the Altar is also the supreme incentive to love the most tender and most ardent that man can have for God. We have all of us good right to be frightened when we think of the return that we have made to Our Lord for this marvel of His love. In nothing else do we fail more sadly than in all that regards our visits to the Blessed Sacrament. Whatever was done by the Faithful in past centuries, whatever may be done at present by persons in other ranks of life, in other circumstances of occupation, residence, etc.-it is certain that he who writes these words and many of those who will read them are so circumstanced in every respect that they have no valid excuse for the manner in which they have neglected and, perhaps, continue to neglect the sources of grace that are open to them through that exercise of faith and piety which we call "a visit to the Blessed Sacrament." There are persons in the world so absorbed in the duties and interests of their state, so circumstanced altogether that they are free from blame for acting almost as if they forgot the dogma of the Real Presence except during one hour of the day out of the whole week. Many of them, indeed, could by a generous effort do something more for their faith; but God in H is mercy will take all things into account, and will not expect much fronl such as these. But He expects much more from us, and, alas! have we yet reached that low standard, the least that can be expected?”
Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter data Create and analyze graphs of retweet relationships Use the streaming API to harvest tweets in realtime Harvest and analyze friends and followers Discover friendship cliques Summarize webpages from short URLs This book is a perfect companion to O’Reilly's Mining the Social Web.
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