She called herself Denny Lyons ... and she was everything men dreamed of on long, lonely nights ... She had it all, from the white-gold hair that framed her expensive face to the graceful, slender ankles—and all those pleasant extras in-between ... She had everything - including big ideas. She was headed straight for the top and she thought she knew just how to get there ... But she had made one mistake - and someone thought that was one too many...
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.
It wasn’t his case...his girl...or his problem...but Johnny Liddell had a personal interest in this little caper. He didn’t ask to be the Feds’ “receiver” on a pass of inside info on the smuggling racket, but he was. He didn’t ask to have a couple of hoods beat the living daylights out of him to get the info back, but they did. As a matter of fact, for the first time in his life, Johnny Liddell wasn’t asking for trouble. But when a lovely doll invited him to see her later, and murder turned later into never again, Johnny asked in—in to the bloody end.
Johnny Liddell was looking forward to his 2:30 a.m. date with Eve Wylie. Eve had thick red hair that fell down over her shoulders like a molten copper cascade, and Eve had a sullen soft-looking mouth that held more than a casual promise for Johnny Liddell. So when he got to her apartment, and found the date was off, it came as an unpleasant shock. Not that it was Eve’s fault. There was very little a girl, with her throat cut from ear to ear, could do about a broken date.
Trouble is a redhead Lydia had a problem, and she dumped it right in Johnny Liddell's lap, along with her own million dollar body. She was very luscious - but somebody had something on her that was very ugly, and even more expensive. Johnny told her not to pay off the blackmailers. Dollars to doomsday, she would just be buying her own corpse on the installment plan. And after one good look at all of Lydia, Johnny definitely wanted her alive and warm...
The woman’s body undulated. Her motions became frantic. Wildly, she tore off her clothes … The others followed. Nude, danced to the frenzied drum … This was New Orleans. Johnny Liddell was no tourist. He had come here to investigate a disappearance. The beating he got by a goon squad, the double-cross from a gorgeous blonde, and the session as target for someone’s shooting practice—weren’t exactly like being handed the keys to the city. But before he was through, Johnny’s tour of the town led him through a ring of blackmail, murder, and the forced prostitution of some of the most beautiful society women in the city.
P.I. Johnny Liddell tangles with mobsters, molls -- and murder! ""...the [Johnny Liddell] books are classic examples of the hard-boiled private eye formula...[The] books are often distinguished by a gritty, authentic portrayal of New York cops and their methods..."" —St. James Guide to Crime and Mystery Writers
She was a gorgeous - and mysterious - girl from New York, who had taken a low-paying job in a small-town night club. When they fished her out of the local river she had nothing on. It didn’t matter. She was past caring. Johnny Liddell cared, though. The girl was his client and it didn’t make sense. Why would she strip, pile her clothes neatly on the pier, and then take the plunge? A waste, Liddell thought mournfully. A great waste. Then he cheered up. Any case that began with a killer and a naked woman was bound to produce more of the same . . .
Everyone was threatening Johnny Liddell — even his girl, and the cops — until Johnny came up with a new twist to trap a killer. It was so good he fooled everyone — even himself!
A case of corpses. They piled up so fast that private eye Johnny Liddell figured he was ahead if he found them while they were still warm. It started when he was hired as a baby-sitter to a wildcat. She was blonde and beautiful, and stacked better than a deck of marked cards. And she had a cool $200,000 worth of hot diamonds. There was just one hitch. She used bourbon instead of perfume.
In this tantalizing collection, four New York Times bestselling authors invite you into the alluring worlds they've created in the Demonica, Guardians of Eternity, Nightwalkers, and Dragon Kin series. Each mesmerizing page will leave you craving more. . . "Vampire Fight Club" by Larissa Ione When a wave of violence forces shapeshifter Vladlena to go undercover, her first stop is a haven of vice—with a dangerously sexy vamp in charge. Both Vladlena and Nathan are hiding something, but they can't conceal the lust that simmers between them . . . "Darkness Eternal" by Alexandra Ivy After being held captive by one vampire for four centuries, Kata had no intention of taking another one to the underworld with her. Yet even in the pits of hell, there's no ignoring the intoxicating desire awakened by his touch. . . "Kane" by Jacquelyn Frank Kane knows Corrine was meant to be his. . . just as he knows that truly possessing the lovely human is forbidden. But on the night of the Samhain moon, the beast in every demon is stronger than reason, and Kane's hunger is more powerful than any punishment. . . "Dragon on Top" by G.A. Aiken Escorting the highborn Bram through deadly Sand Dragon territory will try Ghleanna's patience. . . and her resolve. For Bram is determined to enhance the journey with a seduction no female could resist. . .
Every time Johnny Liddell tried to keep a date with his blond, beautiful, and famous client, the whole neighborhood got sprayed with machine-gun bullets. Sometimes, Johnny figured, it didn’t pay to get out of bed—especially when it was filled with a willing companion ... and the cops yelled murder when he killed a couple of hoods who’d been trying to shoot him full of holes.
The pretty-boy movie star. The fat producer. The buxom blackmailer. The grubby undertaker. These four people never would have associated with one another runder ordinary circumstances. But they were drawn together in a shady swindle that promised to net a handsome profit. It was a neat little deal and everything worked out exactly as planned—until private eye Johnny Liddell showed up on the scene. That was the day the movie star was murdered. He made a pretty corpse. The first of four.
Johnny Liddell, private investigator, is not accustomed to a quiet life. But life was never less quiet for him than after he was called in by Celeste Pierce, a redhead who is giving several famous bosomy blondes a run for their money. Everything was going swimmingly for Celeste until she was blackmailed by Bare Facts, a magazine which had some bare facts about Celeste from her girl-in-the-pie period. She is willing to pay for pictures and films, and Johnny sets off to get them back. Unfortunately for Johnny’s peace of mind, impetuous Celeste goes off herself to see Murray Carter, the unattractive publisher of the unattractive periodical. The next day she is found dead in his apartment, and someone has obviously lent a helping hand since there is a bullet hole in the back of his skull. Johnny is given forty-eight hours and a free hand by the police to check on other blackmailers of Bare Facts. His search leads him everywhere from a Harlem dope joint to a boxers' hangout, with trouble all the way. He finally solves the riddle, no thanks to anybody but himself.
Following the collapse of his business and the loss of his home, Frank Kane made a catastrophic decision. In desperation, he agreed to smuggle cocaine out of Venezuela. Almost inevitably, he and his girlfriend, Sam, were caught. The price they paid was a ten-year sentence in the hell of the overcrowded Venezuelan prison system, notorious for corruption and abuse, and rife with weapons and gangs. At one point, Frank was held in the remote El Dorado prison, better known for being the one-time home of Henri Charrière, or Papillon. He witnessed countless murders as gang leaders fought for power, and he had to become as ruthless as his fellow inmates in order to survive. In an attempt to dull the reality of the horrendous conditions, he succumbed to drugs. After enduring years of systematic beatings by the guards and attempts on his life by inmates, Frank suffered more than one breakdown. He lost over four stone and was riddled with disease, but somehow he found the strength within himself to survive and was eventually released in 2004 after serving over seven years of his sentence. During the long walk back from hell, Frank decided to tell his story.
Murder and smuggling keep Johnny Liddell busy aboard a cruise ship in the Carribean. The list of suspects and potential victims is longer than Johnny's arm.
This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.
A gorgeous gal with an insatiable appetite for love . . . A gossip columnist who scooped the world with his own obituary . . . An innocent young girl forced into a degrading racket . . . Plus other assorted chacters involved in mayhem and murder, in a collection of sizzling stories featuring Johnny Liddell, the wise-cracking, free-wheeling, quick-fisted private detective with the nasty habit the mobsters hate - he keeps on breathing!
A Johnny Liddell Mystery! The Boys who couldn't go home ruled the air-conditioned oasis called Las Palmas. They'd built a beautiful new city there on the Nevada desert. But there was trouble in paradise--a killer was on the loose. So the Boys called in Johnny Liddell to teach a murderer manners--for ten thousand dollars a lesson. Money isn't everything: cold cash won't keep you warm in the morgue. Johnny Liddell was learning that as he realized he was being set up for the next kill...
Hardboiled detective Johnny Liddell comes up against another tough case—this once an insurance racket. If the death was an accident, Bob Horton inherits big. But if it was murder...
Our 66th issue kicks off our holiday festivities, thanks to Katherine Fast’s “Reunion” (brought to you by Acquiring Editor Barb Goffman) Plus we have an original tale by Albert Tucher (courtesy of Acquiring Editor Michael Bracken), and a darker science fiction story by David C. Smith (thanks to Acquiring Editor Cynthia Ward, who had been on leave for the last few issues.) On the mystery front, we have another Johnny Liddell mystery from Frank Kane, a historical novel (okay, a western...but it’s also a mystery!) by W.C. Tuttle), and of course a solve-it-yourself puzzler from Hal Charles. On the science fiction end, we have a fun tale by the late British master Arthur Sellings, who has been too-long neglected. We hope to have more of his work in future issues. We also have strong stories from Murray Leinster and George O. Smith, plus another Jules de Grandin psychic detective yarn by Seabury Quinn, from the pages of the legendary pulp magazine Weird Tales. Here’s this issue’s lineup: Mysteries / Suspense / Adventure: “Tomato Rage,” by Albert Tucher [Michael Bracken Presents short story] “Tracking Time” by Hal Charles [Solve-It-Yourself Mystery] “Reunion,” by Katherine Fast [Barb Goffman Presents short story] “Pass the Word Along,” by Frank Kane [short story] Sundog Loot, by W.C. Tuttlet [novel] Science Fiction & Fantasy: “Sassenden’s Dream,” by David C. Smith [Cynthia Ward Presents short story] “The Cautious Invaders,” by Arthur Sellings [short story] “The Disciplinary Circuit,” by Murray Leinster [novella] “The Vengeance of India,” by Seabury Quinn [short story] Spacemen Lost, by George O. Smith [novel]
Welcome to Black Cat Weekly #23. Lots of good stuff this time—highlighted by a novel from Golden Age mystery author Rufus King, Duenna for a Murder. Plus a few novellas, and lots of great short stories, a solve-it-yourself mystery from Hal Charles, and great selections from Michael Bracken (Laird Long’s “Taken for a Ride”—which qualifies as both a mysery and a fantasy story) and Barb Goffman (Michael Allan Mallory’s “Random Harvest”). On the science fiction side, the Cynthia Ward Presents story is missing this week, but that’s only because we have a fantastic alternate-history story from Cynthia herself! Check out her “On Stony Ground.” Plus an epic disaster story from Allan Danzig, a fantasy from Unknown by Lester del Rey and James H. Beard, a space-based tale by Richard Wilson, and a miniature military SF story from Larry Tritten. Here’s the complete lineup: Mysteries / Suspense / Adventure: “Soul Searching,” by Laird Long [short story] “A Fine Kettle of Fish,” by Hal Charles [Solve-It-Yourself Mystery] “Dead Wrong,” by Frank Kane [short story] “Taken for a Ride,” by Hulbert Footner [short novel] “Random Harvest,” by Michael Allan Mallory [Barb Goffman Presents short story] Duenna to a Murder, by Rufus King [novel] Science Fiction & Fantasy: “On Stony Ground,” by Cynthia Ward [short story] “Corrigan’s Homunculi,” by Larry Tritten [short story] “Carillon of Skulls,” by Lester del Rey and James H. Beard [short story] “Abel Baker Camel,” by Richard Wilson [short story] “The Great Nebraska Sea,” by Allan Danzig [short story]
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