Deadwood Dick Jr. Branded. or Red Rover at Powder Pocket

Edward Lytton Wheeler

Deadwood Dick is a fictional character who appears in a series of stories, or dime novels, published between 1877 and 1897 by Edward Lytton Wheeler. His stories are well plotted adventures and his slang and dialect heavy narration is funny as hell. Deadwood Dick was an orphan who was adopted, mistreated and then ran away from home to become a notorious outlaw. Originally from New England, he moved to the town of Deadwood, where he became the leader of a gang of highway men, wanted dead or alive for a $500 bounty. He is handsome, valiant, charming and sarcastic and sees himself as a defender of the weak. Deadwood Dick Jr. Branded or Red Rover at Powder Pocket is a fast-paced thriller. With its colorful narrative and surprising twists, the story will keep you hooked till the very end.

Building Google Cloud Platform Solutions. Develop scalable applications from scratch and make them globally available in almost any language

Ted Hunter, Steven Porter, Legorie Rajan PS

GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud.You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications.This Learning Path includes content from the following Packt products:• Google Cloud Platform for Developers Ted Hunter and Steven Porter• Google Cloud Platform Cookbook by Legorie Rajan PS

Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants

With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you’ll find everything inside.

The Fifteenth Character Starter Level Oxford Bookworms Library

Border, Rosemary

A Starter level Oxford Bookworms Library graded reader. Written for Learners of English by Rosemary Border. 'It's an interesting job,' says Sally about her work at Happy Hills. And today is a very exciting day because Zapp the famous singer is coming. Everybody is having a wonderful time. But suddenly something goes wrong - very wrong.

Wesołe literki

Opracowanie zbiorowe

"Wesołe literki" to zbiór ćwiczeń, dzięki którym dziecko stawia pierwsze kroki w nauce pisania literek oraz czytania. W prezencie mnóstwo kolorowych naklejek.

Enterprise Agility. Being Agile in a Changing World

Sunil Mundra

The biggest challenge enterprises face today is dealing with fast-paced change in all spheres of business. Enterprise Agility shows how an enterprise can address this challenge head on and thrive in the dynamic environment. Avoiding the mechanistic construction of existing enterprises that focus on predictability and certainty, Enterprise Agility delivers practical advice for responding and adapting to the scale and accelerating pace of disruptive change in the business environment.Agility is a fundamental shift in thinking about how enterprises work to effectively deal with disruptive changes in the business environment. The core belief underlying agility is that enterprises are open and living systems. These living systems, also known as complex adaptive systems (CAS), are ideally suited to deal with change very effectively.Agility is to enterprises what health is to humans. There are some foundational principles that can be broadly applied, but the definition of healthy is very specific to each individual. Enterprise Agility takes a similar approach with regard to agility: it suggests foundational practices to improve the overall health of the body—culture, mindset, and leadership—and the health of its various organs: people, process, governance, structure, technology, and customers. The book also suggests a practical framework to create a plan to enhance agility.

Samotne pokolenie. Szkice i recenzje krytyczne z lat 1927-1939

Jerzy Andrzejewski

 KRYTYKA XX i XXI WIEKU. Tom 25   Samotne pokolenie jest wyborem szkiców i recenzji Jerzego Andrzejewskiego z lat 1927-1939. W tomie znalazły się najważniejsze teksty krytyczne, a także liczne, nieznane dotąd szerzej eseje, artykuły i noty Andrzejewskiego, publikowane głównie w dzienniku „ABC” oraz w tygodniku „Prosto z mostu”. Powstała w ten sposób całość stanowi pierwszy tak reprezentatywny przegląd przedwojennej krytyki literackiej autora Ładu serca. Podejmował on w niej próby rekonstrukcji sytuacji duchowej młodego pokolenia, pisał o współczesnej sobie prozie polskiej, francuskiej oraz angielskiej, interesował się debiutami swoich rówieśników: Gombrowicza, Rudnickiego, Brezy, fascynował go Conrad i Mauriac, podziwiał Nałkowską oraz Iwaszkiewicza. Stworzył fascynującą panoramę literatury dwudziestolecia międzywojennego.

Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python

Stefan Jansen

The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You’ll practice the ML work?ow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies.Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym.