Num Nums has planned the perfect friendship bash for all of her best buds. But when she ruins the treats and snacks, will she have to cancel the party?

Refine your cool with this quintessential sourcebook of manners and mischief. Author–raconteurs Phineas Mollod and Jason Tesauro offer timely advice and timeless wisdom for adventurous gents curious about: JAZZ & FLASKMANSHIP FRIENDS & GAFFES DATING & ENTERTAINING TWEETIQUETTE & MODERN LIT TUXEDOS & TATTOOS CAVIAR & CRASH PADS BYO, BBQ & IOUs With new sections covering the Digital Man, the Local Epicure, and the Bespoke Gent, this second edition provides a panoramic snapshot of the enlightened modern man: witty and poignant, traditional but tech savvy, flirtatious yet courtly. So roll up your yoga mat, uncork a Barolo, spin some vinyl, and crack open this freshly updated edition of The Modern Gentleman: your Man Cycle is peaking.

In the house where Marie lives, the cutlery is running wild ... Madness and fairy-story creep hand in hand in this darkly comic tale, where the mice learn the art of voodoo; where murdered bodies miraculously vanish; where the grandmother is sometimes an owl and where steak-knives grow so hungry that they scream.

The past decade is probably unparalleled as a period of dynamic changes in the crop protection sciences-entomology, plant pathology, and weed science. These changes have been stimulated by the broad-based concern for a quality environment, by the hazard of intensified pest damage to our food and fiber production systems, by the inadequacies and spiraling costs of conventional crop protection programs, by the toxicological hazards of unwise pesticide usage, and by the negative interactions of independent and often narrowly based crop protection practices. During this period, the return to ecological approaches in crop protection was widely accepted, first within entomology and ultimately within the other crop protection and related disciplines. Integrated pest management is fast becoming accepted as the rubric describing a crop pro tection system that integrates methodologies across all crop protection dis ciplines in a fashion that is compatible with the crop production system. Much has been written and spoken about "integrated control" and "pest management," but to date no treatise has been devoted to the concept of "in tegrated pest management" in the broadened context as described above. Most of the manuscripts in this volume were developed from papers presented in a symposium at the annual meeting of the American Association for the Ad vancement of Science held in San Francisco in February, 1974. In arranging that symposium, the editors involved plant pathologists, entomologists, and weed scientists.

Mr. Squiggles is having a Zhu Zhu Pets(tm) Halloween bash-- complete with a fun costume contest! Find out the grand prize winner in the gatefold that pulls out of the back cover!

Provides a linguistic foundation for students of all majors Assisted by numerous pedagogical aids, A Concise Introduction to Linguistics, 4/e explains all concepts in a systematic way making complex linguistic topics as easy to learn as possible. This introductory title covers the core topics of linguistics, providing the information and concepts that will allow students to understand more detailed and advanced treatments of linguistics. This student-friendly and well-balanced overview of the field of introductory linguistics pays special attention to linguistic anthropology and reveals the main contributions of linguistics to the study of human communication and how issues of culture are relevant. Its workbook format contains well-constructed exercises in every chapter that allow students to practice key concepts.

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques. There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release. What You'll Learn • Understand NLP and text syntax, semantics and structure• Discover text cleaning and feature engineering• Review text classification and text clustering • Assess text summarization and topic models• Study deep learning for NLP Who This Book Is For IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.