Python Data Science Handbook: Tools and Techniques for Developers, Vanderplas Jake
Новое издание
Автор: Vanderplas, Jake Название: Python data science handbook ISBN: 1098121228 ISBN-13(EAN): 9781098121228 Издательство: Неизвестно Цена: 10136.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.
Описание: If you want a basic understanding of computer vision`s underlying theory and algorithms, this hands-on introduction is the ideal place to start. Programming Computer Vision with Python teaches computer vision in broad terms that won`t bog you down in theory. Instead, you`ll find this book to be inspiring and motivating.
Автор: Hilpisch Yves Название: Python for Finance: Analyze Big Financial Data ISBN: 1491945281 ISBN-13(EAN): 9781491945285 Издательство: Wiley Рейтинг: Цена: 5701.00 р. Наличие на складе: Поставка под заказ.
Описание: This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance.
Автор: Casario Marco Название: CSS3 Solutions: Essential Techniques for CSS3 Developers ISBN: 143024335X ISBN-13(EAN): 9781430243359 Издательство: Springer Рейтинг: Цена: 5583.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: CSS3 brings a mass of changes, additions, and improvements to CSS across a range of new modules. Web designers and developers now have a whole host of new techniques up their sleeves, from working with colors and fonts accurately, to using media queries to ensure correct styling across a multitude of devices.
Описание: Software development today is embracing functional programming (FP), whether it`s to write concurrent programs or to manage Big Data. Where does that leave Java developers? This concise book offers a pragmatic, approachable introduction to FP for Java developers or anyone who uses an object-oriented language.
Автор: Bernard Название: Python Recipes Handbook ISBN: 1484202422 ISBN-13(EAN): 9781484202425 Издательство: Springer Рейтинг: Цена: 3492.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn the code to write algorithms, numerical computations, data analysis and much more using the Python language: look up and re-use the recipes for your own Python coding. This book is your handy code cookbook reference. Whether you're a maker, game developer, cloud computing programmer and more, this is a must-have reference for your library. Python Recipes Handbook gives you the most common and contemporary code snippets, using pandas (Python Data Analysis Library), NumPy, and other numerical Python packages. What You'll LearnCode with the pandas (Python Data Analysis Library)Work with the various Python algorithms useful for today's big data analytics and cloud applicationsUse NumPy and other numerical Python packages and code for doing various kinds of analysisDiscover Python's new popular modules, packages, extensions and templates libraryWho This Book Is ForThis handy reference is for those with some experience with Python.
Описание: The expanded edition of this practical book not only introduces you web scraping, but also serves as a comprehensive guide to scraping almost every type of data from the modern web.
Автор: Ohri Название: Python for R Users: A Data Science Approach ISBN: 1119126762 ISBN-13(EAN): 9781119126768 Издательство: Wiley Рейтинг: Цена: 9338.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python
The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations--complete with sample code--of R to Python and Python to R.
Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining--including supervised and unsupervised data mining methods--are treated in detail, as are time series forecasting, text mining, and natural language processing.
- Features a quick-learning format with concise tutorials and actionable analytics
- Provides command-by-command translations of R to Python and vice versa
- Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages
- Offers numerous comparative examples and applications in both programming languages
- Designed for use for practitioners and students that know one language and want to learn the other
- Supplies slides useful for teaching and learning either software on a companion website
Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics.
A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. He has advised multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. Mr. Ohri's research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces for cloud computing, investigating climate change and knowledge flows. His other books include R for Business Analytics and R for Cloud Computing.
Описание: Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist.
Автор: Paper, David Название: Data science fundamentals for python and mongodb ISBN: 1484235967 ISBN-13(EAN): 9781484235966 Издательство: Springer Рейтинг: Цена: 4611.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms.
The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained.
Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced.
What You'll Learn
Prepare for a career in data scienceWork with complex data structures in PythonSimulate with Monte Carlo and Stochastic algorithmsApply linear algebra using vectors and matricesUtilize complex algorithms such as gradient descent and principal component analysisWrangle, cleanse, visualize, and problem solve with dataUse MongoDB and JSON to work with data
Who This Book Is For
The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.
Описание: This practical book presents a data scientist`s approach to building language-aware products with applied machine learning.
Автор: Kazil Jacqueline, Jarmul Katharine Название: Data Wrangling with Python ISBN: 1491948817 ISBN-13(EAN): 9781491948811 Издательство: Wiley Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that`s initially too messy or difficult to access.
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