The Second Part of Henry the Fourth

William Shakespeare

The plot of the play is based on the struggle of King Henry IV with former allies. The Earl of Northumberland and his influential relatives, to whom the king owes a great deal to the throne, are not satisfied with their position under the new government and are rebelling. In addition to political troubles, Henry IV is tormented by problems of a personal nature: his heir Henry leads a hectic life, spending time in the company of the dissolute fat man Sir John Falstaff and his drinking companions...

Druga księga dżungli

Rudyard Kipling

Powieść przygodowa ukazująca dalsze losy Mougliego chłopca wychowanego w dżungli przez watahę wilków, niedźwiedzia Balloo i panterę Bagerę. Pełna emocji historia o niezwykłej przyjaźni. Klimat powieści i opisy przyrody przenoszą czytelnika w głąb egzotycznych Indii.

The Trail Driver

Zane Grey

A great story by the greatest novelist of the American West. This one is about the tough men and women who made their living by obtaining herds of cattle and driving them across large territories to be sold. Driving forty-five hundred longhorns is hard enough, but in addition to leading the biggest cattle drive in the history of the Chisholm Trail, Adam Brite and his ten trail-hardened partners have to contend with the fury of nature and man. They were going all the way from San Antonio to Dodge. They expected plenty of trouble. They got it... Lots of action, quick shooting, slow drawling cowboys. A romance with a girl masquerading as a boy horse wrangler, but her identity is early discovered so the proprieties remain unscathed.

Katastrofy naturalne

Sławomir Kobojek

Natury nie da się ujarzmić. Mimo że od wieków człowiek próbuje okiełznać przyrodę, ona od czasu do czasu demonstruje swoją siłę. Wybuchy wulkanów, trzęsienia ziemi, lawiny, huragany, tornada, sztormy, burze to tylko niektóre z przejawów drzemiącej w naturze potęgi. Książka omawia naturalne katastrofy w wodzie i na lądzie, a także te, które nadchodzą z powietrza. Zgromadzone fotografie dają obraz siły, jaką dysponuje matka natura.

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.

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.

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.