Python Big Data Processing (33 results)

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paperback. Condition: New. Paperback.Pub Date:2024-04 Pages:288 Publisher:China Renmin University Press: Starting from the basic characteristics of Python language. this book introduces various data encoding and access technologies. web crawler related technologies. data preprocessing and data visualization technologies in detail. The content covers the main knowledge and technologies in programming such as local files. network data. big data access and data preprocessing. On the premise of attaching importance to theo.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingLearn big data processing with Spark using R and Python.This book offers a practical introduction to Apache Spark for large-scale data work. It focuses on building scalable data pipelines using Sparklyr, PySpark, and Databricks.You will discover how to: - Work with large datasets using Apache Spark- Use Sparklyr to integrate Spark with R- Develop with PySpark in Python- Leverage Databricks for cloud-based Spark environments- Construct reliable data pipelines for real-world useThe book bridges the R and Python ecosystems, helping data professionals use the right language for different Spark tasks. It covers core concepts including data transformation, distributed processing, and moving projects from development to production.Written for data analysts, data scientists, and engineers who want to add Spark to their toolkit.Perfect for: Professionals looking to expand their skills in big data processing with Spark across both R and Python.…

paperback. Condition: New. Paperback. Pub Date: 2025-01 Pages: 228 Publisher: People's Posts and Telecommunications Press This book will guide readers into the field of python big data financial analysis. starting with basic knowledge and gradually deepening application. Through learning and practicing the contents of this book. readers can master the skills and methods of using python for financial big data analysis. laying a solid foundation for future study and work. The main contents of this book include an overvie.…

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: June 2025 Pages: 216 Publisher: Posts & Telecom Press This book focuses on Python big data processing and analysis. providing a detailed explanation of related technologies. The book consists of nine chapters. It first introduces the basic concepts. methods. and techniques of big data analysis. Then. it covers how to use Excel for data analysis. including data exploration and descriptive analysis. using Excel functions and tools. and using pivot tables an.…

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paperback. Condition: New. Paperback. Pub Date: 2021-05-01 Pages: 224 Language: Chinese Publisher: People's Posts and Telecommunications Publishing House This book introduces the detailed methods and steps of using Python for big data processing and analysis.?The book consists of 9 chapters. the main content includes setting up a development environment. Numpy library. Pandas library. Matplotlib library. data preprocessing and multiple case studies.?This book focuses on closely integrating theory with practice. so that.…

paperback. Condition: New. Paperback. Pub Date: 2022-08-01 Publisher: Tsinghua University Press Under the background of the continuous development of big data and intelligent society. how to cultivate artificial intelligence application-oriented technical talents has increasingly become the focus of attention from all walks of life. This book is written in response to this demand. and systematically analyzes the basic theories. common algorithms. basic technologies. and practical examples of natural language processing.…

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2021-02-01 Pages: 310 Publisher: Tsinghua University Press. my country has proposed a new infrastructure concept. To speed up the construction of new infrastructure such as big data centers and artificial intelligence. this will undoubtedly require more big data talents .?PySpark can perform distributed processing of big data and lower the threshold of big data learning. This book is an introductory textbook for PySpark. suitable for readers with a certai.…

Paperback. Condition: new. Paperback. Reactive PublishingLearn big data processing with Spark using R and Python.This book offers a practical introduction to Apache Spark for large-scale data work. It focuses on building scalable data pipelines using Sparklyr, PySpark, and Databricks.You will discover how to: Work with large datasets using Apache SparkUse Sparklyr to integrate Spark with RDevelop with PySpark in PythonLeverage Databricks for cloud-based Spark environmentsConstruct reliable data pipelines for real-world useThe book bridges the R and Python ecosystems, helping data professionals use the right language for different Spark tasks. It covers core concepts including data transformation, distributed processing, and moving projects from development to production.Written for data analysts, data scientists, and engineers who want to add Spark to their toolkit.Perfect for: Professionals looking to expand their skills in big data processing with Spark across both R and Python. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-09-01 Pages: 344 Publisher: China Water Conservancy and Hydropower Press Python + Excel Efficient Office: Easy Python Data Analysis and Visualization.

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paperback. Condition: New. Paperback. Pub Date: 2019-10-01 Pages: 464 Publisher: Peking University Press Python data analysis and big data processing from entry to the master technology. infrastructure. core concepts mainly on the data needed to analyze large data processing to perform the procedure. From a programming language preparation. data collection and cleaning. data analysis and visualization. to large data .…

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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2021-06-01 Pages: 448 Publisher: Peking University Press This book focuses on the new infrastructure of cloud computing. big data and artificial intelligence. It is divided into the following five parts.?The first part introduces the concepts and characteristics of big data. as well as typical industrial application scenarios; the second part introduces an important research and application field in cloud computing-container cloud. including the applicati.…

Condition: New. Unlock the power of data with this comprehensive introduction to Big Data Processing using Python. Published by NextPublishing Authors Press, this essential guide is designed for beginners and covers fundamental concepts and practical applications of Python in managing and analyzing large datasets. It's an invaluable resource for anyone looking to build skills in modern data science. Note: The text is entirely in Japanese. Brand New Japanese Edition. Ships worldwide from Japan via Japan Post. Expedited shipping via FedEx available.…

paperback. Condition: New. Paperback. Pub Date: 2020-08-01 Publisher: Peking University Press. Python Data Analysis and Big Data Processing From Entry to Proficiency mainly explains the technology. infrastructure. core concepts. and implementation processes required for data analysis and big data processing .?From programming language preparation. data collection and cleaning. data analysis and visualization. to distributed storage and distributed computing of large data. it runs through the entire big data project dev.…

paperback. Condition: New. Paperback.Pub Date:2016-01-01 Publisher: People's Posts and Telecommunications Press. Introduction to Deep Learning-This book is an introductory book in the true sense of deep learning. It analyzes the principles and related technologies of deep learning in a simple and simple way.?Python3 is used in the book. try not to rely on external libraries or tools. starting from basic mathematics knowledge. leading readers to create a classic deep learning network from scratch. so that readers gradua.…

Condition: New. Print on Demand pp. 330.

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Condition: New. PRINT ON DEMAND pp. 330.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.