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 Название: Data Visualization with Python and javascript, 2nd Edition
Автор: Kyran Dale
Издательство: O’Reilly Media
Год: 2022-10-04: Ninth Release
Формат: ePUB
Страниц: 550
Размер: 25,4 Mb
Язык: English
How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts–as well as Python and javascript developers–how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and javascript libraries.
Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while javascript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. | |
Разместил: vitvikvas 5-10-2022, 00:55 | Комментарии: 0 | Подробнее
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 Название: Programming in Two Semesters: Using Python and Java
Автор: Quentin Charatan, Aaron Kans
Издательство: Springer
Год: 2022
Формат: True PDF
Страниц: 665
Размер: 29,8 Mb
Язык: English
This highly accessible textbook teaches programming from first principles. In common with many programming courses, it uses Python as the introductory programming language before going on to use Java as the vehicle for more advanced programming concepts. | |
Разместил: vitvikvas 4-10-2022, 19:00 | Комментарии: 0 | Подробнее
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 Название: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
Автор: Aurelien Geron
Издательство: O’Reilly Media
Год: 2022
Формат: ePUB
Страниц: 751
Размер: 27,3 Mb
Язык: English
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.
With this updated third edition, author Aur?lien G?ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. | |
Разместил: vitvikvas 4-10-2022, 18:29 | Комментарии: 0 | Подробнее
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 Название: Functional and Concurrent Programming: Core Concepts and Features
Автор: Michel Charpentier
Издательство: Pearson
Год: 2022
Формат: PDF
Страниц: 630
Размер: 10 Mb
Язык: English
The functional and concurrent programming language features supported by modern languages can be challenging, even for experienced developers. These features may appear intimidating to OOP programmers because of a misunderstanding of how they work. Programmers first need to become familiar with the abstract concepts that underlie these powerful features.
In Functional and Concurrent Programming, Michel Charpentier introduces a core set of programming language constructs that will help you be productive in a variety of programming languagesnow and in the future. Charpentier illustrates key concepts with numerous small, focused code examples, written in Scala, and with case studies that provide a thorough grounding in functional and concurrent programming skills. These skills will carry from language to languageincluding the most recent incarnations of Java. Using these features will enable developers and programmers to write high-quality code that is easier to understand, debug, optimize, and evolve. | |
Разместил: vitvikvas 4-10-2022, 16:28 | Комментарии: 0 | Подробнее
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 Название: Tree-Based Methods for Statistical Learning in R: A Practical Introduction with Applications in R
Автор: Brandon M. Greenwell
Издательство: CRC Press
Год: 2022
Страниц: 405
Язык: английский
Формат: pdf (true)
Размер: 29.1 MB
Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern statistical and Machine Learning (ML) methodology. The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages as possible. For example, users will be exposed to writing their own random forest and gradient tree boosting functions using simple for loops and basic tree fitting software (like rpart and party/partykit), and more. The core chapters also end with a detailed section on relevant software in both R and other opensource alternatives (e.g., Python, Spark, and Julia), and example usage on real data sets. While the book mostly uses R, it is meant to be equally accessible and useful to non-R programmers. | |
Разместил: Ingvar16 4-10-2022, 13:58 | Комментарии: 0 | Подробнее
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 Название: Time Series for Data Science: Analysis and Forecasting
Автор: Wayne A. Woodward, Bivin P. Sadler, Stephen D. Robertson
Издательство: CRC Press
Год: 2022
Страниц: 529
Язык: английский
Формат: pdf (true), epub
Размер: 63.8 MB
Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject. For software choice, we have created an R package tswge, which is available on CRAN to accompany this book. Because of the clearly described R syntax, students should not be required to have previous knowledge of R. The number of examples and the focus on participation by the reader to enter the provided R code will ground the students with the necessary R coding skills. In fact, this textbook could be a resource for an introductory course in R programming with time series applications. | |
Разместил: Ingvar16 4-10-2022, 13:16 | Комментарии: 0 | Подробнее
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 Название: Artificial Intelligence: An Introduction for the Inquisitive Reader
Автор: Robert H. Chen, Chelsea Chen
Издательство: CRC Press
Год: 2022
Страниц: 357
Язык: английский
Формат: pdf (true), epub
Размер: 16.0 MB
Artificial Intelligence: An Introduction for the Inquisitive Reader guides readers through the history and development of AI, from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of mathematics and computer science. As the book moves forward, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today. | |
Разместил: Ingvar16 4-10-2022, 12:34 | Комментарии: 0 | Подробнее
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 Название: Captain Code: Unleash Your Coding Superpower with Python
Автор: Ben Forta & Shmuel Forta
Издательство: Pearson Education/Addison-Wesley Professional
Год: 2022
Страниц: 401
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB, 40.7 MB
Becoming a coder is all fun and games! Everyone should learn to code. Much like drawing and sketching, playing an instrument, cooking, or taking pictures and shooting videos, coding is a creative endeavor, which means it's a way to actually create stuff, and creating stuff is incredibly rewarding and satisfying. Sure, it's fun to spend hours on your phone looking at what other people have created; but that's nothing compared to the joy and satisfaction of creating things that other people consume and use. Yep, coding is fun! | |
Разместил: Ingvar16 4-10-2022, 01:54 | Комментарии: 0 | Подробнее
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 Название: Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence (Eighth Early Release)
Автор: Bonny P. McClain
Издательство: O’Reilly Media, Inc.
Год: 2022-10-03
Страниц: 200
Язык: английский
Формат: epub (true)
Размер: 113.2 MB
There are a variety of options in geographic information systems (GIS) software with pros and cons associated with all of them. Why explore geospatial data analysis with Python programming? Python has been embraced by the geospatial community and can be found integrated with a wide variety of commercial products such as ESRI, backend for other software packages such as QGIS and Geographic Resources Analysis Support System (GRASS), and Google Earth. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python. | |
Разместил: Ingvar16 4-10-2022, 01:10 | Комментарии: 0 | Подробнее
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 Название: Istio Ambient Explained: Getting Started with Istio Ambient Service Mesh
Автор: Lin Sun, Christian Posta
Издательство: O’Reilly Media, Inc.
Год: 2022-10-03
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB
Service meshes such as Istio provide a lot of value to teams running microservices architectures or cloud workloads. But they do have their drawbacks. To help you implement their capabilities, most service meshes use a sidecar proxy, an architecture that comes with operational complexities and costly resource overhead. In this report, authors Lin Sun and Christian Posta from Solo.io dive into Istio ambient mesh, a new sidecarless data plane mode designed for transparent application onboarding, simplified operation, and reduced infrastructure cost. Developers, architects, and platform owners will examine the challenges of existing sidecar architecture, explore the benefits of ambient mesh, and learn how to get started with Istio ambient service mesh. | |
Разместил: Ingvar16 4-10-2022, 00:34 | Комментарии: 0 | Подробнее
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