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The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition

Brian Lipp, Shubhadeep Roychowdhury, Dr. Tirthajyoti Sarkar

While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined.If you’re a beginner, then The Data Wrangling Workshop will help to break down the process for you. You’ll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques.This book starts by showing you how to work with data structures using Python. Through examples and activities, you’ll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you’ll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool.By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources.

The Daughter of Erlik Khan

Robert E. Howard

The tall Englishman, Pembroke, was scratching lines on the earth with his hunting knife, talking in a jerky tone that indicated suppressed excitement: I tell you, Ormond, that peak to the west is the one we were to look for. Here, Ive marked a map in the dirt. This mark here represents our camp, and this one is the peak. Weve marched north far enough.

The Daughters of the Night

Edgar Wallace

Edgar Wallaces novels always have an endearing quality about them that is not so easy to define. Daughters of the Night is hard to explain in a few words, but there are the usual Edgar Wallace characters: the hero, the heroine, the suspicious but beautiful woman who is somehow involved in the whole plot, the hard-faced and fiendish villain and a chivalrous one. Jim Bartholomew is a young manager of a branch of the South Devon Farmers Bank with a love of hunting, horses and a dislike of routine. What does he have in common with Margot, the beautiful Mrs. Markham and a handsome American? And what do the Daughters of the Night the three Roman deities who brought punishment to evil-doers have to do with this tale?

The Day of Temptation. A Story of Two Cities

William Le Queux

The style ofThe Day of Temptationis very melodramatic and overwritten adjectives and adverbs abound to the confusion of the reader. The book is very much set in high society and sometimes reminds me of the immortal Daisy Ashford Im sure books like this were among her inspiration.

The Day of the Beast

Zane Grey

The Day of the Beast is the story of Daren Lane and hundreds of thousands like him in the years immediately after the conclusion of WWI, disabled soldiers returning home to an America that simply didnt want to be reminded of what just took place. His fiancée has forgotten him, his job has been filled, and his poor health is failing quickly. But Lane is not one to be kept down, and with the true love of a strong woman, Lane will overcome every tragedy. It is set in Middletown USA. Zane Gray (1875-1939), master storyteller of the frontier and the outdoors, in The Day of the Beast gives tribute to the unsung heroes of the Great War.

The Day of Uniting

Edgar Wallace

Edgar Wallace established his reputation as a writer of detective thrillers, a genre in which he wrote more than 170 books, with the publication of The Four Just Men. Moreover, the author was a wholehearted supporter of Victorian and early Edwardian values and mores, which are now considered in some respects politically incorrect. In England, in the 1920s, Wallace was said to be the second biggest seller after the Bible. The Day of Uniting by Edgar Wallace was originally published in 1930 and features a World War One ace as the lead detective who tries to solve a mystery. The story is fast-paced with some surprising twists, well written and great to read.

The Day. Or The Passing of a Throne

Fred M. White

Many stories by Fred M. White have a spy theme. This story is no exception. The events take place during the First World War. Two men, Manuel and his young companion Luigi, are on a mission. The men have a problem: namely, a German wireless transmitter that they desperately wanted to find and stop.

The Dead Secret

Wilkie Collins

The mistress of the old estate the Portgen Tower dies, leaving a dying letter in which she makes a fatal confession. The discovery of this secret can have truly tragic consequences for all the inhabitants of the estate. But the maid, hoping to keep the peace of her masters, hides the letter in the old abandoned room of the castle the Dead Room. Many years will pass before the Dead Room will part with its terrible secret.

The Deal. Układ [okładka serialowa]

Elle Kennedy

ODKRYJ EMOCJE NA LODZIE I MIŁOŚĆ POZA TAFLĄ W WYJĄTKOWEJ SERII OFF-CAMPUS ONA MA WŁAŚNIE PÓJŚĆ NA PEWIEN UKŁAD Z NIEGRZECZNYM STUDENTEM Hannah Wells w końcu znalazła chłopaka, który wzbudził jej zainteresowanie. Wydaje się, że jest pewna siebie w każdym aspekcie życia, ale jeśli chodzi o seks i uwodzenie, okazuje się, że dźwiga dotkliwy bagaż doświadczeń. Żeby zwrócić uwagę swojego wybranka, będzie musiała zainteresować go sobą. Chcąc osiągnąć cel, gotowa jest pójść na pewien układ i w zamian za udzielenie korepetycji nieznośnemu, wkurzającemu i zadufanemu w sobie kapitanowi drużyny hokejowej zgadza się na fałszywą randkę ON BEZ WAHANIA SKŁADA JEJ NIEMORALNĄ PROPOZYCJĘ Garrett Graham od zawsze marzył o zawodowej karierze hokejowej, ale gdy średnia jego ocen na studiach gwałtownie spada, grozi mu katastrofa. Decyduje się pomóc pewnej brunetce, która chce wzbudzić zazdrość w innym chłopaku. Ona z kolei pomoże Garrettowi w nauce. Ale jeden nieoczekiwany pocałunek rozpala żar dwojga ciał i hokeista szybko uświadamia sobie, że udawanie nie wchodzi w grę. Musi teraz przekonać Hannah, że mężczyzna jej marzeń wygląda dokładnie tak jak on Kultowa powieść, która zapoczątkowała niezwykle dziś popularny gatunek romansu hokejowego

The Death Star

T.C. Bridges

This old science fiction novel, Bridges, describes the Earth, largely devastated and devastated by terrible unrest in the solar system. The story tells about the adventures of seven people sailing in a wonderful airship of the future. There is a mortal battle between the two scientists: one is trying to build a new and better world on the ruins of the old, the other is a villain fighting to create a system that will finally destroy what remains on Earth.

The Death-Doctor. Being the Remarkable Confessions of Archibald More DEscombe, M.D. of Kensington, London, Selected by Laurence Lanner-Brown, M.D

William Le Queux

Some year and a half ago, my friend and erstwhile neighbour. Dr. Archibald More dEscombe, died suddenly, and shortly after his decease I received from his solicitors a sealed packet addressed to me in his handwriting, with instructions that it was not to be opened until after his death.

The Deaves Affair

Hulbert Footner

The Deaves Affair by Hulbert Footner. A millionnaire family is attacked by a blackmailer. They will be ruined if he always succeeds. A young struggling artist in New York City Evan is engaged to protect the old man from the crowd and from their blunders. But he had to play the role of a detective to help this family to discover the romantically inclined mystery in this affair. Will he succeed?

The Debtor

Mary E. Wilkins Freeman

Banbridge is close enough to the great City that, after dark, the merging light of its many eyes of electric fire can be seen on the southern horizon. This book shows exactly how women were completely thrown into provincial resources. They perfected their minds and bodies, even having a physical education club and a teacher who came weekly from the City.

The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques

Ee Kin Chin

Deep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives.This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency.As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications.By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.

The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code

Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat

New experiences can be intimidating, but not this one! This beginner’s guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks.What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework.The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you’ll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you’ll explore recurrent neural networks and learn how to train them to predict values in sequential data.By the end of this book, you'll have developed the skills you need to confidently train your own neural network models.

The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch

Hyatt Saleh

Want to get to grips with one of the most popular machine learning libraries for deep learning? The Deep Learning with PyTorch Workshop will help you do just that, jumpstarting your knowledge of using PyTorch for deep learning even if you’re starting from scratch.It’s no surprise that deep learning’s popularity has risen steeply in the past few years, thanks to intelligent applications such as self-driving vehicles, chatbots, and voice-activated assistants that are making our lives easier. This book will take you inside the world of deep learning, where you’ll use PyTorch to understand the complexity of neural network architectures.The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications. You’ll explore the syntax of PyTorch and learn how to define a network architecture and train a model. Next, you’ll learn about three main neural network architectures - convolutional, artificial, and recurrent - and even solve real-world data problems using these networks. Later chapters will show you how to create a style transfer model to develop a new image from two images, before finally taking you through how RNNs store memory to solve key data issues.By the end of this book, you’ll have mastered the essential concepts, tools, and libraries of PyTorch to develop your own deep neural networks and intelligent apps.