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 Название: Mapping Data Flows in Azure Data Factory
Автор: Mark Kromer
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 204
Размер: 10 Mb
Язык: English
Build scalable ETL data pipelines in the cloud using Azure Data Factory’s Mapping Data Flows. Each chapter of this book addresses different aspects of an end-to-end data pipeline that includes repeatable design patterns based on best practices using ADF’s code-free data transformation design tools. The book shows data engineers how to take raw business data at cloud scale and turn that data into business value by organizing and transforming the data for use in data science projects and analytics systems. | |
Разместил: vitvikvas 25-08-2022, 16:22 | Комментарии: 0 | Подробнее
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 Название: Mathematical Logic through Python
Автор: Yannai A. Gonczarowski, Noam Nisan
Издательство: Cambridge University Press
Год: 2022
Формат: PDF
Страниц: 285
Размер: 10 Mb
Язык: English
Using a unique pedagogical approach, this text introduces mathematical logic by guiding students in implementing the underlying logical concepts and mathematical proofs via Python programming. This approach, tailored to the unique intuitions and strengths of the ever-growing population of programming-savvy students, brings mathematical logic into the comfort zone of these students and provides clarity that can only be achieved by a deep hands-on understanding and the satisfaction of having created working code. While the approach is unique, the text follows the same set of topics typically covered in a one-semester undergraduate course, including propositional logic and first-order predicate logic, culminating in a proof of G?del's completeness theorem. A sneak peek to G?del's incompleteness theorem is also provided. The textbook is accompanied by an extensive collection of programming tasks, code skeletons, and unit tests. Familiarity with proofs and basic proficiency in Python is assumed. | |
Разместил: vitvikvas 25-08-2022, 16:04 | Комментарии: 0 | Подробнее
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 Название: Time Series Forecasting in Python
Автор: Marco Peixeiro
Издательство: Manning Publications
Год: 2022
Формат: True PDF
Страниц: 458
Размер: 22,5 Mb
Язык: English
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
Time Series Forecasting in Python teaches you to apply time series forecasting and get immediate, meaningful predictions. You’ll learn both traditional statistical and new deep learning models for time series forecasting, all fully illustrated with Python source code. Test your skills with hands-on projects for forecasting air travel, volume of drug prescriptions, and the earnings of Johnson & Johnson. By the time you’re done, you’ll be ready to build accurate and insightful forecasting models with tools from the Python ecosystem. | |
Разместил: vitvikvas 25-08-2022, 11:48 | Комментарии: 0 | Подробнее
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 Название: Pro Data Mashup for Power BI: Powering up with Power Query and the M Language to Find, Load, and Transform Data
Автор: Adam Aspin
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 497
Размер: 20,8 Mb
Язык: English
This book provides all you need to find data from external sources and load and transform that data into Power BI where you can mine it for business insights and a competitive edge. This ranges from connecting to corporate databases such as Azure SQL and SQL Server to file-based data sources, and cloud- and web-based data sources. The book also explains the use of Direct Query and Live Connect to establish instant connections to databases and data warehouses and avoid loading data.
The book provides detailed guidance on techniques for transforming inbound data into normalized data sets that are easy to query and analyze. This covers data cleansing, data modification, and standardization as well as merging source data into robust data structures that can feed into your data model. You will learn how to pivot and transpose data and extrapolate missing values as well as harness external programs such as R and Python into a Power Query data flow. You also will see how to handle errors in source data and extend basic data ingestion to create robust and parameterized data load and transformation processes. | |
Разместил: vitvikvas 25-08-2022, 10:59 | Комментарии: 0 | Подробнее
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 Название: The Game Designer's Playbook: An Introduction to Game Interaction Design
Автор: Samantha Stahlke, Pejman Mirza-Babaei
Издательство: Oxford University Press
Год: 2022
Формат: True PDF
Страниц: 401
Размер: 10 Mb
Язык: English
Video games have captivated us for over 50 years, giving us entire worlds to explore, new ways to connect with friends, thought-provoking stories, or just a fun way to pass the time. Creating games is a dream for many, but making great games is challenging. The Game Designer's Playbook is about meeting that challenge. More specifically, it's a book about game interaction design; in other words, shaping what players can do and how they do it to make a game satisfying and memorable. Our time with a game is built on interaction, from basic things like pushing buttons on a controller, to making complicated strategic decisions and engaging with the narrative. If you've ever felt the adrenaline rush from beating a perfectly tuned boss fight or been delighted by the fanfare of picking up that last collectible, you've experienced good interaction design firsthand.
The Game Designer's Playbook is about learning what makes for great (or terrible!) interaction design in games, exploring things like controls, feedback, story, and tutorial design by analyzing existing games. It also looks at how newer and still-developing tech like VR and streaming are changing the ways we play, and how you can bring great interaction design to your own games. | |
Разместил: vitvikvas 25-08-2022, 10:06 | Комментарии: 0 | Подробнее
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 Название: SQL in a Nutshell, 4th Edition
Автор: Kevin Kline, Regina O. Obe, and Leo S. Hsu
Издательство: O’Reilly Media
Год: 2022
Формат: True PDF
Страниц: 841
Размер: 10 Mb
Язык: English
For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products. This new fourth edition clearly documents SQL commands according to the latest ANSI/ISO standard and details how those commands are implemented in Microsoft SQL Server 2019 and Oracle 19c, as well as in the MySQL 8, MariaDB 10.5, and PostgreSQL 13 open source database products.
You'll also get a concise overview of the relational database management system (RDBMS) model and a clear-cut explanation of foundational RDBMS concepts--all packed into a succinct, comprehensive, and easy-to-use format. | |
Разместил: vitvikvas 25-08-2022, 09:32 | Комментарии: 0 | Подробнее
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 Название: Mathematical Modeling the Life Sciences Numerical Recipes in Python and MATLAB
Автор: N. G. Cogan
Издательство: CRC Press
Год: 2023
Формат: True PDF
Страниц: 246
Размер: 16 Mb
Язык: English
The purpose of this unique textbook is to bridge the gap between the need for numerical solutions to modeling techniques through computer simulations to develop skill in employing sensitivity analysis to biological and life sciences applications. The underpinning mathematics is minimalized. The focus is on the consequences, implementation, and application. Historical context motivates the models. An understanding of the earliest models provides insight into more complicated ones. While the text avoids getting mired in the details of numerical analysis, it demonstrates how to use numerical methods and provides core codes that can be readily altered to fit a variety of situations. Numerical scripts in both Python and MATLAB® are included. Python is compiled in Jupyter Notebook to aid classroom use. Additionally, codes are organized and available online.
One of the most important skills requiring the use of computer simulations is sensitivity analysis. Sensitivity analysis is increasingly used in biomathematics. There are numerous pitfalls to using sensitivity analysis and therefore a need for exposure to worked examples in order to successfully transfer their use from mathematicians to biologists. | |
Разместил: vitvikvas 25-08-2022, 08:12 | Комментарии: 0 | Подробнее
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 Название: Криптографические основы блокчейн-технологий
Автор: Ищукова Евгения, Романенко Кирилл, Панасенко Сергей
Издательство: ДMK
Год: 2022
Формат: True PDF
Страниц: 303
Размер: 18,2 Mb
Язык: Русский
Любыми технологиями можно просто пользоваться, не вникая в их суть, а можно и стремиться к глубокому знанию внутренних механизмов и пониманию внутренних процессов, составляющих основу используемых решений.
Данная книга поощряет подобное стремление в отношении современных блокчейн-технологий и рассматривает вопросы их построения с основным упором на криптографические составляющие блокчейн-систем, включая широко используемые криптовалюты: Биткойн, Эфириум и другие. Книга насыщена примерами и иллюстрациями, позволяющими лучше разобраться в материале. | |
Разместил: vitvikvas 24-08-2022, 18:13 | Комментарии: 0 | Подробнее
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Название: jOOQ Masterclass
Автор: Leonard A.
Издательство: Packt
Год: 2022
Формат: pdf, epub
Размер: 15 Мб
Страниц: 764
Язык: English
Learn the best way to write SQL in Java by taking control of SQL in your app via a type-safe, dynamic and versatile API that supports almost any type or feature compatible with a database and emphasizes SQL syntax correctness.
Key Features:
- Write complex, type-safe, and dynamic SQL using the powerful jOOQ API
- Tackle complex persistence tasks, such as lazy fetching, R2DBC, transactions, and batching while sustaining high traffic in your modern Java applications
- Use a comprehensive SPI to shape and extend jOOQ according to your needs
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Разместил: tanyavip1 23-08-2022, 08:29 | Комментарии: 0 | Подробнее
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 Название: Introduction to Machine Learning with Applications in Information Security 2nd Edition
Автор: Mark Stamp
Издательство: CRC Press
Год: 2023
Формат: True PDF
Страниц: 528
Размер: 10 Mb
Язык: English
Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts.
The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec. Finally, several cutting-edge deep learning topics are discussed, including dropout regularization, attention, explainability, and adversarial attacks. | |
Разместил: vitvikvas 23-08-2022, 03:49 | Комментарии: 0 | Подробнее
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