28 Results for : spark's

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    Dame Lettie, a blue-blooded reformer, Godfrey - her rather irritating brother, and his once fabulous novelist wife Charmian. But who is the caller? And why are they reminding them of this final truth? It's unsettling and mysterious. The activity increases and soon a witch-hunt is in full force, with nobody beyond suspicion. First published in 1959, Muriel Spark's startling and timeless novel is at once a crime story, a black comedy and an important meditation on mortality. Rediscover this classic as performed by Eve Karpf on the 100th anniversary of Muriel Spark's birth. ungekürzt. Language: English. Narrator: Eve Karpf. Audio sample: https://samples.audible.de/bk/cnon/000125/bk_cnon_000125_sample.mp3. Digital audiobook in aax.
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    The best-selling, award-winning author of The Last Summer of the Camperdowns returns with another rollicking summertime family saga. Maine's rugged, picturesque Monhegan Island is home to weathered lobster fishermen and curious tourists, a genial if sleepy group. But when Spark Monahan - rakish prodigal son - returns unannounced to the dilapidated family home, his arrival launches a summer the likes of which this quiet town has never seen. During Spark's absence, his young son, Hally, has been cared for by what remains of the Monahan family: Spark's gentle brother, Hugh, and their shrewd, fork-tongued father, Pastor Ragnar. Pastor Ragnar has led them with an iron will and a unique religious ideology while Hugh has been busy mending the scars of a tumultuous family history. Spark's reentry into the family is rocky; even as adolescent Hally warms to his father's flair for mischief, he struggles to define himself against this new paternal figure. Testing the limits with one dangerous prank after another, Hally suddenly stuns the entire island when he claims to have had a spiritual vision. Though Spark remains permanently dubious about the alleged apparition, Pastor Ragnar pounces on the chance to revive his flagging church. Hally is shoved into the spotlight, and in the frenzy that follows, each man in the family fights for independence, understanding, and ultimately forgiveness against the tide of a phenomenon reaching far beyond the slippery slopes of their remote island home. Their unforgettable saga is told by the character best suited to sniff out the family's uneasy secrets: Spark's charismatic, fiercely loyal dog, Ned. Never at a loss for a quip on the stormy affairs of the Monahan family, Ned tells their larger-than-life story with humor and love from his uniquely privileged perspective. An uproarious tale of an eccentric family of fathers and sons, The Miracle of Monhegan Island is anothe ungekürzt. Language: English. Narrator: Richard Powers. Audio sample: https://samples.audible.de/bk/blak/008747/bk_blak_008747_sample.mp3. Digital audiobook in aax.
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    A barrister, a "priest," a detective, a lovelorn Irishman, a handwriting expert, a heinous spiritual medium...the very British bachelors of Muriel Spark's supreme 1960 novel come in every stripe. First found contentedly chatting in their London clubs and shopping at Fortnum's, the cozy bachelors are not set to stay cozy for long. Soon enough, the men are variously tormented - defrauded, stolen from, blackmailed, or pressed to attend horrid séances - and then plunged, all together, into the nastiest of lawsuits. At the center of that suit hovers pale, blank Patrick Seton, the medium. Meanwhile, horrors of every size plague the poor bachelors - from epileptic fits to forgeries, spiritualists foaming with protoplasm, and murder - and each horror delights, lit up by Spark's uncanny wit, at once malicious, funny, and deadly serious. ungekürzt. Language: English. Narrator: Nadia May. Audio sample: https://samples.audible.de/bk/blak/002850/bk_blak_002850_sample.mp3. Digital audiobook in aax.
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    In the California of tomorrow's headlines, where electrical blackouts have become commonplace and the economy is faltering, geophysicist Will Spark seeks to develop a reliable energy source hidden beneath the marshy Sacramento Delta. But to do that and enable a seamless transition to a carbon-free electrical grid, he and a handful of intrepid private landowners and one courageous journalist must overcome craven state leaders, Gaia-worshiping bureaucrats, and determined eco-terrorists.
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    Lise is thin, neither good-looking nor bad-looking. One day she walks out of her office, acquires a gaudy new outfit, adopts a girlier tone of voice, and heads to the airport to fly south. On the plane, she takes a seat between two men. One is delighted with her company, the other is deeply perturbed. So begins an unnerving journey into the darker recesses of human nature. Read by Dame Judi Dench, rediscover this shocking masterpiece in audiobook on the 100th anniversary of Muriel Spark's birth. ungekürzt. Language: English. Narrator: Dame Judi Dench. Audio sample: https://samples.audible.de/bk/cnon/000011/bk_cnon_000011_sample.mp3. Digital audiobook in aax.
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    Joyride is the first in the Beantown Pals series of children's books about the mythical, fairy tale world known as Beantown. In this episode, Bucky and Betty, the town's favorite teens, take Chief Spark's fire truck, Laddie, for a joyride. What ensues is a series of hysterical mishaps with Betty pushing every button including Bucky's to set off alarms, bells, blasters, and the ladder, drawing attention from police chief, Officer Lima, who pursues them and issues a ticket to complete community service. With direction and sound effects from sound engineer, John Zebley, comedians Tammy Pooler and Tom Hayes created this tale during an improv comedy session. ungekürzt. Language: English. Narrator: Thomas J. Hayes. Audio sample: https://samples.audible.de/bk/acx0/069034/bk_acx0_069034_sample.mp3. Digital audiobook in aax.
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    Cameron Spark's life is falling apart. He is separated from his wife and has moved in with his widowed dad. Then he receives a letter. It is from Christie. Twenty-five years earlier, the shy Cameron attended university, where he made three unlikely friends: Christie, the rich Canadian; Tommo, the wannabe rock star; and Bex, the feminist activist. In a whirlwind of alcohol and music, Cameron felt as though he was finally living. Until a horrific accident shattered their friendship and altered their futures forever. Christie's letter offers them a reunion after all these years. But has enough time passed to recover from the events of that tragic night? ungekürzt. Language: English. Narrator: Angus King. Audio sample: https://samples.audible.de/bk/oakh/000656/bk_oakh_000656_sample.mp3. Digital audiobook in aax.
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    From the cruel irony of A Member of the Family to the fateful echoes of The Go-Away Bird and the unexpectedly sinister The Girl I Left Behind Me, in settings that range from South Africa to the Portobello Road, Muriel Spark coolly probes the idiosyncrasies that lurk beneath the veneer of human respectability, displaying the acerbic wit and wisdom that are the hallmarks of her unique talent. The Complete Short Stories is a collection to be loved and cherished, from one of the finest short-story writers of the twentieth century, rediscover it on the 100th anniversary of Muriel Spark's birth with outstanding performances by Emilia Fox, Richard E. Grant and Juliet Stevenson. ungekürzt. Language: English. Narrator: Juliet Stevenson, Emilia Fox, Richard E. Grant. Audio sample: https://samples.audible.de/bk/cnon/000048/bk_cnon_000048_sample.mp3. Digital audiobook in aax.
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    Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines. In Data Analysis with Python and PySpark you will learn how to: Manage your data as it scales across multiple machines Scale up your data programs with full confidence Read and write data to and from a variety of sources and formats Deal with messy data with PySpark's data manipulation functionality Discover new data sets and perform exploratory data analysis Build automated data pipelines that transform, summarize, and get insights from data Troubleshoot common PySpark errors Creating reliable long-running jobs Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects. Packed with relevant examples and essential techniques, this practical book teaches you to build pipelines for reporting, machine learning, and other data-centric tasks. Quick exercises in every chapter help you practice what you've learned, and rapidly start implementing PySpark into your data systems. No previous knowledge of Spark is required. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology The Spark data processing engine is an amazing analytics factory: raw data comes in, insight comes out. PySpark wraps Spark's core engine with a Python-based API. It helps simplify Spark's steep learning curve and makes this powerful tool available to anyone working in the Python data ecosystem. About the book Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source-whether that's Hadoop clusters, cloud data storage, or local data files. Once you've covered the fundamentals, you'll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code. What's inside Organizing your PySpark code Managing your data, no matter the size Scale up your data programs with full confidence Troubleshooting common data pipeline problems Creating reliable long-running jobs About the reader Written for data scientists and data engineers comfortable with Python. About the author As a ML director for a data-driven software company, Jonathan Rioux uses PySpark daily. He teaches the software to data scientists, engineers, and data-savvy business analysts. Table of Contents 1 Introduction PART 1 GET ACQUAINTED: FIRST STEPS IN PYSPARK 2 Your first data program in PySpark 3 Submitting and scaling your first PySpark program 4 Analyzing tabular data with pyspark.sql 5 Data frame gymnastics: Joining and grouping PART 2 GET PROFICIENT: TRANSLATE YOUR IDEAS INTO CODE 6 Multidimensional data frames: Using PySpark with JSON data 7 Bilingual PySpark: Blending Python and SQL code 8 Extending PySpark with Python: RDD and UDFs 9 Big data is just a lot of small data: Using pandas UDFs 10 Your data under a different lens: Window functions 11 Faster PySpark: Understanding Spark's query planning PART 3 GET CONFIDENT: USING MACHINE LEARNING WITH PYSPARK 12 Setting the stage: Preparing features for machine learning 13 Robust machine learning with ML Pipelines 14 Building custom ML transformers and estimators
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    • Price: 62.99 EUR excl. shipping
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    Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines. In Data Analysis with Python and PySpark you will learn how to: Manage your data as it scales across multiple machines Scale up your data programs with full confidence Read and write data to and from a variety of sources and formats Deal with messy data with PySpark's data manipulation functionality Discover new data sets and perform exploratory data analysis Build automated data pipelines that transform, summarize, and get insights from data Troubleshoot common PySpark errors Creating reliable long-running jobs Data Analysis with Python and PySpark is your guide to delivering successful Python-driven data projects. Packed with relevant examples and essential techniques, this practical book teaches you to build pipelines for reporting, machine learning, and other data-centric tasks. Quick exercises in every chapter help you practice what you've learned, and rapidly start implementing PySpark into your data systems. No previous knowledge of Spark is required. About the technology The Spark data processing engine is an amazing analytics factory: raw data comes in, insight comes out. PySpark wraps Spark's core engine with a Python-based API. It helps simplify Spark's steep learning curve and makes this powerful tool available to anyone working in the Python data ecosystem. About the book Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source-whether that's Hadoop clusters, cloud data storage, or local data files. Once you've covered the fundamentals, you'll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code. What's inside Organizing your PySpark code Managing your data, no matter the size Scale up your data programs with full confidence Troubleshooting common data pipeline problems Creating reliable long-running jobs About the reader Written for data scientists and data engineers comfortable with Python. About the author As a ML director for a data-driven software company, Jonathan Rioux uses PySpark daily. He teaches the software to data scientists, engineers, and data-savvy business analysts. Table of Contents 1 Introduction PART 1 GET ACQUAINTED: FIRST STEPS IN PYSPARK 2 Your first data program in PySpark 3 Submitting and scaling your first PySpark program 4 Analyzing tabular data with pyspark.sql 5 Data frame gymnastics: Joining and grouping PART 2 GET PROFICIENT: TRANSLATE YOUR IDEAS INTO CODE 6 Multidimensional data frames: Using PySpark with JSON data 7 Bilingual PySpark: Blending Python and SQL code 8 Extending PySpark with Python: RDD and UDFs 9 Big data is just a lot of small data: Using pandas UDFs 10 Your data under a different lens: Window functions 11 Faster PySpark: Understanding Spark's query planning PART 3 GET CONFIDENT: USING MACHINE LEARNING WITH PYSPARK 12 Setting the stage: Preparing features for machine learning 13 Robust machine learning with ML Pipelines 14 Building custom ML transformers and estimators
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