A new revolutionary phonic reading scheme. Learn To Read With Phonics teaches reading rapidly, in as little as six months PROVEN! Children love reading about the humorous adventures of Sam and his friends. They hardly realise that within each fun story are disguised phonic sounds. Learning to read with Guinea Pig has never been so easy or so much fun. This exciting scheme has been written by a Surrey teacher and tutor catering for the needs of the children she teaches. The scheme works well with young children starting out on reading. At the same time, it is ideal for older children who have failed to reach targets in literacy, for those who have experienced particular learning difficulties or where English is a second language. This scheme helps the student catch up fast. Beginner Reader Books 1-6 are a structured course that systematically introduces new sounds, each one building on the ones that went before.

Architect scalable, reliable, and maintainable applications for enterprises with Python Key Features *Explore various Python design patterns used for enterprise software development *Apply best practices for testing and performance optimization to build stable applications *Learn about different attacking strategies used on enterprise applications and how to avoid them Book Description Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable. The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques. By the end of the book, you will have become proficient at building efficient enterprise applications in Python. What you will learn *Understand the purpose of design patterns and their impact on application lifecycle *Build applications that can handle large amounts of data-intensive operations *Uncover advanced concurrency techniques and discover how to handle a large number of requests in production *Optimize frontends to improve the client-side experience of your application *Effective testing and performance profiling techniques to detect issues in applications early in the development cycle *Build applications with a focus on security *Implement large applications as microservices to improve scalability Who this book is for If you’re a developer who wants to build enterprise-grade applications, this book is for you. Basic to intermediate-level of programming experience with Python and database systems is required to understand the concepts covered in this book.

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key Features *Bridge your data analysis with the power of programming, complex algorithms, and AI *Use Python and its extensive libraries to power your way to new levels of data insight *Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series *Explore this modern approach across with key industry case studies and hands-on projects Book Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learn *A new toolset that has been carefully crafted to meet for your data analysis challenges *Full and detailed case studies of the toolset across several of today’s key industry contexts *Become super productive with a new toolset across Python and Jupyter Notebook *Look into the future of data science and which directions to develop your skills next Who this book is for This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key Features *Implement machine learning algorithms to build, train, and validate algorithmic models *Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions *Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics Book Description 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. What you will learn *Implement machine learning techniques to solve investment and trading problems *Leverage market, fundamental, and alternative data to research alpha factors *Design and fine-tune supervised, unsupervised, and reinforcement learning models *Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn *Integrate machine learning models into a live trading strategy on Quantopian *Evaluate strategies using reliable backtesting methodologies for time series *Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow *Work with reinforcement learning for trading strategies in the OpenAI Gym Who this book is for Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.

If you are a football fan there is little doubt that you will be able to name many of the world's most famous managers and the teams they are associated with but how much do you really know about them? Now, there is an easy way to find out more about all those memorable football managers, past and present, by having a go at the 101 questions in this new quiz book. Who was the first foreign manager of an English top-flight club? What was the last senior club managed by former England manager Terry Venables? How many seasons was Alex Ferguson in charge of the Red Devils? These are just some of the brain-teasing questions you will find in The Ultimate Football Managers Quiz Book. Whether you can readily recall all those iconic managers and the teams they led to victory, and sometimes defeat, or need a little reminder, this book is sure to prove popular with anyone interested in the beautiful game. Entertaining and informative, this is a must-have book for football fans of all ages.

To call someone a reactionary is to insult them and to end any argument. There is no possible rejoinder: no one could possibly wish to be a reactionary. But what if one were to gratefully accept the label? What would it mean to wilfully and honestly be a reactionary? Referencing thinkers as diverse as Burke, de Maistre, Guenon, Ratzinger, Scruton and the Prince of Wales this book considers the nature of reaction as a justified response to modernity and the constant call for change. Reaction is shown to take two distinct forms: first, as a rejection of progress and a defence of traditional culture and values; and second, as a common sense disquiet and distaste towards elites. These are seen as entirely valid responses to the failure of modernity. 'Reaction' presents an original and thoughtful critique of modernity and a defence of tradition. It will be of interest to anyone concerned that we are heading too far and too quickly in the wrong direction.

The practical guide to creating a working garden for children in the early years to enjoy year after year.Whatever time of year it is, involving young children in gardening can be an excellent way to develop a wide range of skills for the EYFS and can bring children of all abilities together.This gem of a guide aims to provide a step-by-step guide to creating an early years garden from first conception to eating your own veg! Features: Where to start: how to plan for your garden and get funding Calendar of what to plant and harvest when Tips on plant that are great for cooking, as well as the ones that are guaranteed to give the quickest results A wealth of activities based around your garden, all linked to the ELGsAn essential for any green-minded nursery, whether you are a novice or an experienced gardner.

Everyday Noises is a beautifully illustrated children's book by well-known author Suzy-Jane Tanner. It is from a new series of books which encourage learning and play in young children, engaging them in an interactive reading experience. In Everyday Noises, young children will enjoy imitating and identifying different everyday noises with the Elephant family and their friends.

When their Father is taken away unexpectedly, three children and their mother have to leave their comfortable life in London to go and live in a small cottage in the country. This classic tale by Edith Nesbit has had film and TV adaptations, and is loved by children and adults alike. This beautifully made eBook has been specially formatted for today's e-readers by Andrews UK.

Great Expectations traces the growth of the book's narrator, Philip Pirrip (Pip), from a boy of shallow dreams to a man with depth of character. From its famous dramatic opening on the bleak Kentish marshes, the story abounds with some of Dickens's most memorable characters. Among them are the kindly blacksmith Joe Gargery, the mysterious convict Abel Magwitch, the eccentric Miss Haversham and her beautiful ward Estella, Pip's good-hearted room-mate Herbert Pocket and the pompous Pumblechook. As Pip unravels the truth behind his own great expectations in his quest to become a gentleman, the mysteries of the past and the convolutions of fate through a series of thrilling adventures serve to steer him towards maturity and his most important discovery of all - the truth about himself. This beautifully presented version has been specially formatted for today's e-readers by Andrews UK.

What Does It Mean To Be Three, from child psychologist Jennie Lindon, will give you the tools you need to ensure that your work with children, whether in a school, nursery or home setting, is relevant to their individual stages of development.This books looks at the six areas of learning in the EYFS and focusses on what each area means for three-year olds. Each area of development is backed up with examples of how real children learn, what good practice looks like and working in partnership with parents. A must-have for anyone working with three-year olds.

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features *A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ *A modern, practical and computational approach to Bayesian statistical modeling *A tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises. Book Description The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models. The main concepts of Bayesian statistics are covered using a practical and computational approach. Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others. By the end of the book, you will have a working knowledge of probabilistic modeling and you will be able to design and implement Bayesian models for your own data science problems. After reading the book you will be better prepared to delve into more advanced material or specialized statistical modeling if you need to. What you will learn *Build probabilistic models using the Python library PyMC3 *Analyze probabilistic models with the help of ArviZ *Acquire the skills required to sanity check models and modify them if necessary *Understand the advantages and caveats of hierarchical models *Find out how different models can be used to answer different data analysis questions *Compare models and choose between alternative ones *Discover how different models are unified from a probabilistic perspective *Think probabilistically and benefit from the flexibility of the Bayesian framework Who this book is for If you are a student, data scientist, researcher, or a developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory so no previous statistical knowledge is required, although some experience in using Python and NumPy is expected.

A Guided Skills-Based Journey is a series of books aimed at developing key reading and study skills. This brilliant new series provides teachers with a wide variety of genres, both fiction and non-fiction, which will allow children to access, interpret and understand what they are reading. It increases the child's knowledge and understanding of why certain words are chosen by an author. It gives the reader the chance to speculate on the tone and purpose of the texts, as well as consider both the texts' themes and audience.

Draw Across the Curriculum is a collection of 50 photocopiable art worksheets, designed to provide a handy cross-curricular drawing resource for the busy primary classroom teacher. Perfect for getting pupils to put pencil to paper, this collection of artsheets is brimming with humorous designs to copy and patterns to make.

Tino Balio, in his book The American Film Industry, said that the Production Code meant that American films could not deal with political or social issues 'in an honest and truthful fashion'. This incisive essay tests out the legitimacy of Balio's claims, using The Lost Weekend (directed by Billy Wilder, 1945) as an example of the Hollywood 'problem film'. Rather than treating the film as being an entity with a single, unchanging meaning, it is put into its historical and social context, in particular the commercial context within which the studios were working. The commercial imperatives hardly sat well with the reality of a social problem such as alcoholism and this essay reminds us that the prime aim of the industry was to entertain: many of these 'problem films', therefore, were as honest and truthful within these confines as it was possible to be.

Liberal education used to command wide political support. Radicals disagreed with conservatives on whether the best culture could be appreciated by everyone, and they disagreed, too, on whether the barriers to understanding it were mainly social and economic, but there was no dispute that any worthwhile education ought to hand on the best that has been thought and said. That consensus has vanished since the 1960s. The book examines why social radicals supported liberal education, why they have moved away from it, and what the implications are for the future of an intellectually stimulating and culturally literate education.

Alone in the Crowd discusses the identity of nineteenth-century Paris, one of the most widely imaged cities in the modern world, whose most enduring attribute is that of a city of spectacle - a city of the pleasure of looking and being looked at simultaneously. Did Haussmann's re-figuring of the city, with its unrelenting straight boulevards, stirring vistas and uniform buildings, create a 'mass produced' image of Paris? If so, who benefited - and who lost out - in the construction of this new identity? Did the boulevards represent dystopia as well as utopia?

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key Features *Understand the foundations of meta learning algorithms *Explore practical examples to explore various one-shot learning algorithms with its applications in TensorFlow *Master state of the art meta learning algorithms like MAML, reptile, meta SGD Book Description Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster. Hands-On Meta Learning with Python starts by explaining the fundamentals of meta learning and helps you understand the concept of learning to learn. You will delve into various one-shot learning algorithms, like siamese, prototypical, relation and memory-augmented networks by implementing them in TensorFlow and Keras. As you make your way through the book, you will dive into state-of-the-art meta learning algorithms such as MAML, Reptile, and CAML. You will then explore how to learn quickly with Meta-SGD and discover how you can perform unsupervised learning using meta learning with CACTUs. In the concluding chapters, you will work through recent trends in meta learning such as adversarial meta learning, task agnostic meta learning, and meta imitation learning. By the end of this book, you will be familiar with state-of-the-art meta learning algorithms and able to enable human-like cognition for your machine learning models. What you will learn *Understand the basics of meta learning methods, algorithms, and types *Build voice and face recognition models using a siamese network *Learn the prototypical network along with its variants *Build relation networks and matching networks from scratch *Implement MAML and Reptile algorithms from scratch in Python *Work through imitation learning and adversarial meta learning *Explore task agnostic meta learning and deep meta learning Who this book is for Hands-On Meta Learning with Python is for machine learning enthusiasts, AI researchers, and data scientists who want to explore meta learning as an advanced approach for training machine learning models. Working knowledge of machine learning concepts and Python programming is necessary.

Make it a YES! With so much competition, JUMP INTO AUDITION is the must-have guide for your audition. You only get one chance to make a FIRST IMPRESSION so let it count! FULFILL your POTENTIAL! Learn the art of preparing for auditions, tips on appropriate dress and etiquette and how to CONQUER your nerves. This book uncovers the true procedures and expectations behind auditions, so you will know exactly what to expect before you set foot on the stage. Quite simply, if you want to SUCCEED, make sure you don't attend another audition before reading this book. Including tips from choreographers, theatrical producers, singing coaches and seasoned audition professionals, JUMP INTO AUDITION will ensure you enter your audition fully prepared and ready to give the performance of your life. With sections dedicated to musicals, theatre, talent shows, dance companies and TV/film, specific advice is given for your individual type of audition, covering aspects of movement, microphone handling, supporting musical accompaniment, translation, choice of song and cold reading. There are also specific tips on breathing exercises and vocal warm-up techniques, designed to strengthen your voice and ensure a powerful delivery which will impress the judges.

The Ghost-Extinguisher

The Donnington Affair