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There is a spiritual hunger in the world today. Many people are seeking answers to life's hard questions. Many people come to church seeking inspiration, help for personal problems, or faith's perspective on life. They come seeking things you cannot find in a search engine. The church has exactly what they need, but too often there is a gap between our message and our ability to send it. Each week, as people pause to learn about faith and get a word of hope, a lot rides on the sermon. Susan Cartmell took a journey across the country to visit churches with great preaching and lively worship. What she discovered was that Evangelical Christians and Unitarian Universalists were using themed preaching effectively to attract new members. Working in her church over the last five years, she has designed a new system for preaching with themes in mainline Protestant churches. She shares her method and her journey in a story that invites you to consider new ways to preach faithfully without using the lectionary.

• Sales Rank: #1587372 in Books
• Published on: 2015-07-24
• Released on: 2015-07-24
• Original language: English
• Number of items: 1
• Dimensions: 8.50" h x .30" w x 5.50" l, .0 pounds
• Binding: Paperback
• 132 pages

Review
''Susan Cartmell has written an incisive and personal account of her journey as a preacher, and reports on the discoveries she made along the way. The result is an analysis that will provide ministers important insight into the art of biblical preaching that challenges long-held suppositions on the use of the Common Lectionary. The analysis is accessible and relevant to all who care about the future of mainline Protestantism.''
--Christopher Evans, Professor of the History of Christianity, Boston University School of Theology

''Even faithful Christians are often unfamiliar with the content of their own faith, and many have little time, other than Sunday morning, to remedy this. In this new book, Cartmell argues that the weekly lectionary no longer works to guide today's churchgoers; instead she suggests a new, thematic style of preaching that both teaches and engages people with the great themes and ethical imperatives of the faith. A must-read.''
--Elizabeth Nordbeck, Moses Brown Professor of Ecclesiastical History, Andover Newton Theological School

''Do we follow the lectionary or follow Jesus? Cartmell's proposal--intuitive, biblically based, user-friendly thematic preaching--is good news for every pastor inclined toward the latter. Rejecting the narrative of a church in decline, Cartmell dares to reimagine Christian proclamation as interactive and inclusive, as tolerant and trenchant. UnCommon Preaching is both witness to congregational revitalization and impetus for different but similarly daring adventures in church reinvention.''
--Gregory Mobley, Professor of Christian Bible, Andover Newton Theological School, author of The Return of the Chaos Monsters--and Other Backstories of the Bible --Wipf and Stock Publishers

About the Author
Susan E. Cartmell is the Senior Minister of the Congregational Church of Needham, Massachusetts. One of the first women to lead a church this size, she has served as senior minister since 1998. She has written for Christian Century, Upper Room, and Lectionary Homiletics. You can learn more about her at her website www.UncommonPreacher.com.

Most helpful customer reviews

0 of 0 people found the following review helpful.
A Much Needed Resource
By Keith Alderman
I agree with the premise that the Common Lectionary does not always seem to spiritually feed the people who come church at the present time. A friend of mine once said, "I spent three years going to seminary learning to answer questions that no one has yet asked me." Susan E. Cartmell has given us a needed resource to help communicate the timeless messages contained in the Bible to a post modern age.

0 of 0 people found the following review helpful.
SO helpful!
By Peggy O'Connor
I love this book! It is so helpful and insightful. Plus...my congregation loves the theme approach. They are talking about the sermons and asking for the ones they miss! Thank you Rev. Cartmell.UnCommon Preaching: An Alternative to the Lectionary

0 of 0 people found the following review helpful.
Four Stars
By Amazon Customer
A refreshing approach. I would only hope ministers would take the time to engage in this process.

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• Sales Rank: #535533 in Books
• Published on: 2015-07-07
• Released on: 2015-07-07
• Original language: English
• Number of items: 1
• Dimensions: 9.72" h x 1.57" w x 10.31" l, 4.00 pounds
• Binding: Hardcover
• 913 pages

Most helpful customer reviews

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Bankruptcy- a rather dense and possibly even boring subject. This book is very much just like ...
By Liana Khacha
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• Sales Rank: #548738 in eBooks
• Published on: 2015-07-24
• Released on: 2015-07-24
• Format: Kindle eBook

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0 of 0 people found the following review helpful.
Doves as Pets
By Fossil
I found this book to be very complete and helpful to anyone who is interested in doves. There are lots of sources given for anyone who wants to research the topic further. It is a great book!

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• Sales Rank: #160295 in Books
• Published on: 2015-07-23
• Original language: English
• Number of items: 1
• Dimensions: 11.00" h x .12" w x 8.50" l, .32 pounds
• Binding: Paperback
• 50 pages

Most helpful customer reviews

12 of 12 people found the following review helpful.
I am German (born & raised) and just received this ...
By Michaela B. Nestler
I am German (born & raised) and just received this workbook for my children as to include also the writing/reading part into their learning.
After going over the book I realized that there are a number of spelling errors as well as grammatically incorrect sentence structures and just wrong choice (translation) of words - i will try to personally contact the author to correct these issues.
I am just a tad surprised that educational material is not being verified before publication and sale into the open market.

1 of 1 people found the following review helpful.
Great book
By JenZ
Very helpful book! I purchased it because I was going to be teaching an elementary-aged class in our co-op, but the class didn't end up on the schedule. I'm still glad I have this book, because I can use it with my own children! The worksheets are fun and helpful, and there are sheets available for a variety of ages and ability levels.

0 of 0 people found the following review helpful.
They love working on the activities and interactive learning is the ...
By aaron
I am using this book to help prepare my children, who are 6,8, and 9 for a move to Germany in a couple of months. They love working on the activities and interactive learning is the best way to learn a language. i just wish that the book was a little thicker.

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Mara the Meerkat Fairy: A Rainbow Magic Book (The Baby Animal Rescue Fairies #3), by Daisy Meadows

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Just when you thought the fairies couldn't get any cuter. . . here come the baby animals!

Rachel and Kirsty to the rescue!

The girls are spending a week of their summer vacation at the Wild Woods Nature Reserve. They're going to volunteer as junior rangers-- which means lots of quality time with all the animals who live there! But Jack Frost has taken the Baby Animal Rescue Fairies' magic key chains. Even worse, he's planning to use the fairies' stolen magic to kidnap baby animals for his icy zoo.

The goblins are out to snatch Missy the meerkat. Only Rachel and Kirsty can keep her safe!

• Sales Rank: #330280 in Books
• Published on: 2015-07-28
• Released on: 2015-07-28
• Original language: English
• Number of items: 1
• Dimensions: 7.60" h x .20" w x 5.30" l, .0 pounds
• Binding: Paperback
• 80 pages

About the Author
Daisy Meadows has written over one hundred books for children. Her RAINBOW MAGIC series is a New York Times bestseller!

Most helpful customer reviews

0 of 0 people found the following review helpful.
I love Fairy Magic .
By PDRS
Yay Wow Yes Loving books it's so sweet with baby animals thanks Kristy and Rachel for helping the fairies with rescue

0 of 0 people found the following review helpful.
Engaging story.
By Kimberly
A very engaging story for a 7 year old. Also was not too difficult for her to read.

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~ Download Foundations of Music Technology, by V. J. Manzo

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Foundations of Music Technology explores the core concepts of music technology and its uses as a mechanism to facilitate musicianship in a way that is accessible to all students--from the musician with limited technology skills to the technology expert with little knowledge in music notation. The text uses a free, customized software application for Mac or PC in order to demonstrate fundamental concepts of music technology germane to all professional applications like recording, synthesis, digital notation, MIDI, automating effects, acoustics, and more. With the concepts grasped using this "software-independent" approach, students can then transfer those learned skills over to the software of their choice.

• Sales Rank: #368443 in Books
• Published on: 2015-07-01
• Released on: 2015-07-01
• Original language: English
• Number of items: 1
• Dimensions: 6.10" h x 1.00" w x 9.20" l, .0 pounds
• Binding: Paperback
• 272 pages

Review

"Foundations of Music Technology offers clear explanations of concepts, excellent examples, and interesting chapter assignments."
--Adam Vidiksis, Temple University

"The overall approach is excellent and unique. Foundations of Music Technology is pedagogically efficient with software applications that promote self-learning, exploration, and hands-on experiments."
--Frederick W. Bianchi, Worcester Polytechnic Institute

"The software on the book's website is creative enough to solidify the concepts discussed and simple enough that it's not intimidating to people who have limited computer experience."
--Scott Velazco, Daytona State College

"The software components provide the most accurate experience for beginning music technologists. They're my favorite part of this book."
--Michael Albaugh, Director of Education Operations at Jazz at Lincoln Center

About the Author

V.J. Manzo (PhD Temple University, M.M. New York University) is Assistant Professor of Music Technology and Cognition at Worcester Polytechnic Institute (WPI). He is a composer and guitarist with research interests in theory and composition, artificial intelligence, interactive music systems, and music cognition. V.J. is the Oxford University Press author of the books MAX/MSP/Jitter for Music on developing software-based interactive music systems and coauthor of Interactive Composition: Strategies Using Ableton Live and Max for Live. For more information, visit his website vjmanzo.com.

Most helpful customer reviews

1 of 1 people found the following review helpful.
eBook format needed. Please!
By Ziggy Wiggy
I have heard just the best things about this book. I am very interested to read it and hopefully integrate it in my Syllabus. However. Please make it available for sale as iBook and Amazon format ebook. Digital format is essential with today's students. Take advantage of this, before other books, less deserving perhaps, will be chosen as a "required book for the course" just out of convenience.

0 of 0 people found the following review helpful.
Best of the bunch...
By James C. Scully
I have taught an Intro. to Music Technology course for a decade, and the problem with all texts is the obsolescence that comes with them. What I like about this book is that Manzo focuses on the concepts, not specific software. This allows the overall concepts to be learned and then translated to the students' software of choice.

The companion software is great as well. It's very clear and accessible Nicely done.

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@ Ebook NLTK Essentials, by Nitin Hardeniya

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Build cool NLP and machine learning applications using NLTK and other Python libraries

About This Book

• Extract information from unstructured data using NLTK to solve NLP problems
• Analyse linguistic structures in text and learn the concept of semantic analysis and parsing
• Learn text analysis, text mining, and web crawling in a simplified manner

Who This Book Is For

If you are an NLP or machine learning enthusiast with some or no experience in text processing, then this book is for you. This book is also ideal for expert Python programmers who want to learn NLTK quickly.

What You Will Learn

• Get a glimpse of the complexity of natural languages and how they are processed by machines
• Clean and wrangle text using tokenization and chunking to help you better process data
• Explore the different types of tags available and learn how to tag sentences
• Create a customized parser and tokenizer to suit your needs
• Build a real-life application with features such as spell correction, search, machine translation and a question answering system
• Retrieve any data content using crawling and scraping
• Perform feature extraction and selection, and build a classification system on different pieces of texts
• Use various other Python libraries such as pandas, scikit-learn, matplotlib, and gensim
• Analyse social media sites to discover trending topics and perform sentiment analysis

In Detail

Natural Language Processing (NLP) is the field of artificial intelligence and computational linguistics that deals with the interactions between computers and human languages. With the instances of human-computer interaction increasing, it's becoming imperative for computers to comprehend all major natural languages. Natural Language Toolkit (NLTK) is one such powerful and robust tool.

You start with an introduction to get the gist of how to build systems around NLP. We then move on to explore data science-related tasks, following which you will learn how to create a customized tokenizer and parser from scratch. Throughout, we delve into the essential concepts of NLP while gaining practical insights into various open source tools and libraries available in Python for NLP. You will then learn how to analyze social media sites to discover trending topics and perform sentiment analysis. Finally, you will see tools which will help you deal with large scale text.

By the end of this book, you will be confident about NLP and data science concepts and know how to apply them in your day-to-day work.

• Sales Rank: #631241 in Books
• Published on: 2015-07-27
• Released on: 2015-07-27
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x .44" w x 7.50" l, .76 pounds
• Binding: Paperback
• 194 pages

About the Author

Nitin Hardeniya

Nitin Hardeniya is a data scientist with more than 4 years of experience working with companies such as Fidelity, Groupon, and [24]7-inc. He has worked on a variety of business problems across different domains. He holds a master's degree in computational linguistics from IIIT-H. He is the author of 5 patents in the field of customer experience. He is passionate about language processing and large unstructured data. He has been using Python for almost 5 years in his day-to-day work. He believes that Python could be a single-point solution to most of the problems related to data science. He has put on his hacker's hat to write this book and has tried to give you an introduction to all the sophisticated tools related to NLP and machine learning in a very simplified form. In this book, he has also provided a workaround using some of the amazing capabilities of Python libraries, such as NLTK, scikit-learn, pandas, and NumPy.

Most helpful customer reviews

1 of 1 people found the following review helpful.
A nice collection of gems about the world of Natural Language Processing in Python, for beginners and intermediate coders.
By frogeater
As someone passionate about the natural language and machine learning, I enjoyed this book from the first chapter. Despite being an essential book, it contains everything you need to give a first plunge into the ocean of natural language, from as simple as tokenization and parts of speech, to more complex tasks such as text classification and sentiment analysis in texts drawn from social networks. The code samples are concise and really easy to implement, so you don't have to expend a lot of time and effort testing and playing with them.

Even if you are experienced in such topics, it's a fabulous compendia of web resources for code libraries and data samples that may help you to tune up your applications.

As if this were not enough, it has three chapters that are short courses in their respective topic: web crawling and mining, machine learning and data analysis, and Big Data, all applied to natural language.

From now on, it's going to be a reference book for my future natural language projects. I'll be waiting eagerly for the next book of the author in this series.

1 of 1 people found the following review helpful.
Good book for beginners who wants to explore NLP
By KUMAR RAJ
The Book is great for beginners who wants to learn natural language processing and text analytics. Concepts are explained very clearly and Python is being used to implement NLP models which made the book very easy to understand and will get you up and running with your NLP app development in no time.

Python is not a prerequisite for this book as the author has described basics of Python programming which will help you to understand concepts and codes in book without any difficulties.

3 of 3 people found the following review helpful.
The book could use a more general title
By SY Ku
This is a review for the PDF version of “NLTK Essentials” from packtpub.com. Other format (e.g. epub, kindle) may have minor difference in content layout when a page is referred.

“NLTK Essentials” is a very concise (169 pages), incomplete overview of the Python NLTK module and other related technology. About half the content is not directly related to NLTK but to natural language processing (NLP) and data science in general. This book does not provide as many code snippets as other NLTK books (e.g. Python 3 Text Processing with NLTK 3 Cookbook), and many of the snippets still need debugging or require more instructions to run. The writing style is conversational and informal, and could use an editor for better clarity and organization.

Chapter 1: Introduction to NLP
In the preface, the author intended the book “ideal for expert Python programmers who want to learn NLTK quickly”. There was really no need to review the basic data structures in python.

Chapter 2:
The table on pg20 was badly designed, mixing python syntax, module names, links to pypi and stackoverflow pages as table content.

When first introducing NLTK to the audience, there was a need to introduce nltk.org/data.html and nltk.download() to run the example code. Otherwise, a “LookUpError” would be raised. Such error was never mentioned until near the end of the book (pg 176) for “improperly installing NLTK”. This was unhelpful, for this book only required a very small subset of the 500+Mb NLTK data.

Chapter 3:
This chapter introduced the Standford Parser (295Mb) and the Standford Tagger (290Mb). Only the download urls were provided, but more instructions were needed in order for the snippet to run -- it required JRE1.8 and some tweaking.

Named Entity Recognition (NER) was first introduced here (pg40). Why? NER required chunking, which was not mentioned until Chapter 4 (pg56).

Chapter 4:
The code snippet on pg56 had an indentation error. An example on real data would be appreciated where readers could see the result of NER. “f=open(# absolute path for the file of text for which we want NER)” was not a real example.

The code snippet on pg57 on Relation Extraction was an exact copy of the example at http://www.nltk.org/book/ch07.html (Chapter 7: 6. Relation Extraction) on a parsed news doc, NYT_19980315. This example was not instructive without any explanation as nltk.sem.extract_rels() was not a trivial function.

Chapter 5: NLP Applications
This was a puzzling chapter. There were 2 code examples of a “content summarizer” in the beginning, and the rest of NLP application examples had neither code example nor direct relevance to NLTK. The author could merge the bulk of this Chapter to Chapter 1.

The 2 code examples had bugs: undefined variable on the first (pg61) and syntax error on the second (pg62). Neither example showed us the end result of the auto text summary.

Chapter 6:
This chapter was about the scikit-learn (sklearn) module, not the nltk module. Although both modules were capable of text classification, only the sklearn module was demonstrated. (Thus the book title was puzzling)

Again the code examples needed debugging on pg77 (sms), pg78 (sms_list), pg81 (y_pred), pg91 (indentation) . Why skip the code on Logistic Regression (pg 85) and show us only the formula? Gensim was a great module on topic modeling in text, but trying to find a topic on a collections of unrelated SMS messages (as shown in the example) was puzzling.

Chapter 7:
The web crawler scrapy was interesting although the examples shown were too simple, and its installation needed some (undocumented) work. The code on pg108 needed debugging on AttributeError: 'HtmlResponse' object has no attribute 'URLs'

Chapter 8 was unnecessary. The chapter surveyed the very basics of numpy, scipy, pandas and matplotlib modules. No direct application on NLTK (or NLP) was demonstrated.

Chapter 9: It would great if the author could show us the D3.js code for the Geo visualization on pg144.

Chapter 10:
This chapter attempted to re-demonstrate previous NLTK examples in the context of Big Data, all in 12 pages. The author expected the readers to set up a Hadoop cluster, learn all hdfs commands, run MapReduce jobs in various ways, and familiarize themselves with the complex Hadoop ecosystem (Hive/Pig(Latin)/Mahout/Hbase... /Spark/...etc) before proceeding to the NLTK examples.

All in all, I rated this book favorably (3/5 > 50%) because I have learned something new.

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