Mostrando resultados por narrador "Mark Thomas" en Todas las categorías

Writing computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever.

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka.

Go in Action is for any intermediate-level developer who has experience with other programming languages and wants a jump-start in learning Go or a more thorough understanding of the language and its internals. This book provides an intensive, comprehensive, and idiomatic view of Go. It focuses on the specification and implementation of the language, including topics like language syntax, Go's type system, concurrency, channels, and testing.

I didn’t know Raphael Amado when he turned up on our doorstep demanding restitution for an old debt. My grandfather knew him well, though, and he quickly conceded. That restitution? Me. Six months later, Raphael came to claim me. He took me from my home, taking me to his Tuscan estate, where from the crumbling chapel to the destroyed vineyard to that dark cellar, the past stalked him like a shadow. Even the walls held secrets here, and I’d need to uncover them all to survive.

Seventeenth-century England, and a plough uncovers a grisly skull in the furrows of a farmer's field. The skull disappears, but its malefic influence begins to work in insidious ways upon the nearby village of Hexbridge. First, the cows stop milking and the fruit turns rotten on the trees. Then, an insolent ungodliness takes hold of the local children, mysterious fur patches appear on limbs and people start disappearing.... Something evil is stirring in the woods.

In 2008 veteran journalist Evan Wright, acclaimed for his New York Times best-selling book Generation Kill and co-writer of the Emmy-winning HBO series it spawned, began a series of conversations with super-criminal Jon Roberts, star of the fabulously successful documentary Cocaine Cowboys. Those conversations would last three years, during which time Wright came to realize that Roberts was much more than the de-facto “transportation chief” of the Medellin Cartel during the 1980s, much more than a facilitator of a national drug epidemic.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated. 

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.  

Recent years have seen much controversy about the apostle Paul, his context, and its effect on his theology. In Four Views on the Apostle Paul: Audio Lectures, four leading scholars present their views on the best framework for describing Paul's theological perspective, including his view of salvation, the significance of Christ, and his vision for the churches.

Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. Distributed across servers, difficult to test, and resistant to modification - modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems.

Smoke Jensen and his adopted son Matt are cooling their heels in Colorado when they are called to the Dakotas. Preacher, the legendary mountain man, is in the midst of a vicious struggle. Someone has kidnapped a proud Indian chief’s daughter and grandchild. When the kidnapping turns to murder, and Preacher vanishes after clashing with a ruthless Union colonel turned railroad king, Matt sets out to infiltrate the Colonel's gang of killers; Smoke seeks out the only honest citizens in the crooked town of Hammerhead.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

Hungry and exhausted, Ryan and his band emerge from a redoubt into a remarkably untouched pre-dark city and uncover a cache of weapons and food. But the group is not alone. Among other interlopers, the city is guarded by huge winged creatures, protecting the grisly secrets of a nearby barony. Holed up inside an old government building, where Ryan's son, Dean, lies near death, Ryan and Krysty must raid the treacherous ville across the desert where a local baron uses human flesh as fertilizer.

Listen to this collection of Robert Louis Stevenson classics today.

The Well-Grounded Rubyist, Second Edition addresses both newcomers to Ruby, as well as Ruby programmers who want to deepen their understanding of the language. A creative tutorial that begins with your first Ruby program and goes on to explore sophisticated topics like callable objects, reflection, and threading, the book concentrates on the language, preparing you to use Ruby in any way you choose.

The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

Zwei Filme lang waren Poppy und Branch unzertrennlich. In TROLLS – GEMEINSAM STARK wird aus den besten Freunden nun endlich offiziell ein Paar. Eines Tages entdeckt Poppy, dass Branch eine geheime Vergangenheit hat: Er war einst mit seinen vier Brüdern Floyd, John Dory, Spruce und Clay Teil der erfolgreichen Boyband BroZone. Die Gruppe löste sich allerdings auf, als Branch noch klein war. Seither hat er seine Brüder nicht mehr gesehen.

Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data.

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.