This is a great book for Python Beginner and Advanced Learner which covers Basics to Advanced Python Programming where each topic is explained with the help of Illustrations and Examples. More than 450 solved programs of this book are tested in Python 3.4.3 for windows. The range of Python Topics covered makes this book unique which can be used as a self study material or for instructor assisted teaching. This books covers Python Syllabus of all major national and international universities. Also it includes frequently asked questions for interviews and examination which are provided at the end of each chapter.

Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you. What You Will Learn Find out how you can identify Big Data problems as Spark problems Install and run Apache Spark on your computer or on a cluster Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets Implement machine learning on Spark using the MLlib library Process continuous streams of data in real time using the Spark streaming module Perform complex network analysis using Spark's GraphX library Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you'll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease. Style and approach Frank Kane's Taming Big Data with Apache Spark and Python is a hands-on tutorial with over 15 real-world examples carefully explained by Frank in a step-by-step manner. The examples vary in complexity, and you can move through them at your own pace.

Are you completely new to programming? If not, then we presume you are looking for information about why and how to get started with Python. Fortunately, an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It's also easy for beginners to use and learn, so jump in and tame Python!

Discover the Exciting World of Python Programming Welcome, aspiring programmer, to the fascinating realm of Python programming! Are you ready to embark on an exciting journey through the captivating land of code? Do you aspire to master the power of Python and become a skilled coder? Look no further, this guide is here to lead you through a thrilling and engaging quest! This extraordinary book is designed with the beginner in mind, providing a fun and engaging approach to learning Python. With its humorous and casual tone, this book will make you feel like you're on an adventurous journey while mastering the essential principles of Python programming. In this captivating guide, you'll discover: Entertaining explanations that simplify the world of Python for beginners A multitude of engaging examples and exercises that bring Python concepts to life The Essential Dictionary of Python Terminology, an invaluable glossary for deciphering the unique language of programming Embark on an exciting journey through the following domains: Python Fundamentals: Learn the art of crafting captivating code with variables, operators, and control flow Data Structures: Master the power of versatile objects like lists, tuples, dictionaries, and sets Error Handling: Tame the unruly forces of bugs and errors with try-except blocks and custom exceptions Working with Files: Uncover the secrets of reading and writing text, CSV, and JSON files Modules and Packages: Utilize the power of useful tools and resources with Python libraries Project: Build an engaging command-line application to showcase your coding expertise And so much more! With this guide, you'll unlock the power of Python programming and become a proficient coder in no time. So, put on your thinking cap, grab your keyboard, and embark on a thrilling journey through the fascinating world of Python today! Note: This guide is not meant to be comprehensive; it's meant to get a newbie started on their way to coding and help them understand technical terms and processes.

Taming Python, The Basics, is designed to teach the fundamentals of computer programming to students of almost any age; if they have a desire to learn. Python is powerful and easy-to-learn by motivated students when compared to many other languages in use today. It's taking the computer world by storm. When studying this course, either in a self-study environment or in classes coached by a knowledgeable tutor, students will enjoy seeing their work unfold onto a computer monitor. The author, a retired software professional with over forty years in the trenches, is in his fifth year as a volunteer, teaching the basics of Python to grades 3 through middle school, as well as to adults who are anxious to climb aboard the computer train. This book was born with a few notes on a laptop and a couple of sample Python programs. Since that time it has evolved into an effective set of lesson plans for anyone wanting to learn Python or for professionals needing guidelines to teach the basics of computer programming using Python.

Summary Taming Text, winner of the 2013 Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built. About this Book There is so much text in our lives, we are practically drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext in real applications. This book introduces you to useful techniques like full-text search, proper name recognition,clustering, tagging, information extraction, and summarization.You'll explore real use cases as you systematically absorb thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read. What's Inside When to use text-taming techniques Important open-source libraries like Solr and Mahout How to build text-processing applications About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, and a cofounder of the Mahout machine-learning project. Thomas Morton is the primary developer of OpenNLP and Maximum Entropy. Drew Farris is a technology consultant, software developer, and contributor to Mahout,Lucene, and Solr. "Takes the mystery out of verycomplex processes."—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University Table of Contents Getting started taming text Foundations of taming text Searching Fuzzy string matching Identifying people, places, and things Clustering text Classification, categorization, and tagging Building an example question answering system Untamed text: exploring the next frontier

***ALMOST CERTAINLY NOMINATED FOR SOMETHING SOMEWHERE*** The complete scripts from the four Monty Python series, first shown on BBC television between 1969 and 1974, have been collected in two companion volumes. Characters' names, often not spoken, are given as in the original scripts, along with the names of the actual performer added on their first appearance in each sketch. This first volume contains twenty-three classic episodes, featuring some of the most entertaining writing to have gone into television anywhere. The minister of silly walks, the dead parrot, banter in a cheese shop - here is every silly, satirical skit, every snide insult, every saucy aside.