Data Analysis with Python and PySpark
Data Analysis with Python and PySpark
genuine image
Data Analysis with Python and PySpark
Data Analysis with Python and PySpark
PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines.
Data Analysis with Python and PySpark
товар №: 123736829

Data Analysis with Python and PySpark

85% of respondents would recommend this to a friend

товар №: 123736829

KGS 6454

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from Великобритания

В наличии
Великобритания Импортировано из магазина UK

QTY:

На складе осталось всего 3 тов.
Закажите сейчас и получите товар приблизительно Sunday, Октябрь 11
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines.
Показать больше
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

paypal payment
visa payment
mastercard payment

What Stands Out

Comprehensive Coverage
Offers an extensive overview of data analysis concepts, integrating Python and PySpark, making it suitable for both beginners and experienced practitioners seeking to enhance their skills.
Practical Examples
Includes hands-on examples and case studies, allowing users to apply theoretical knowledge to real-world data challenges, effectively bridging the gap between learning and implementation.
Up-to-Date Techniques
Incorporates the latest advancements in data analysis and big data frameworks, ensuring that readers are equipped with current tools and methodologies critical in today's data-driven environment.

Информация о продукте

Shop Data Analysis with Python and PySpark online at a best price in Kyrgyzstan. 1617297208
  • When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.
Publisher Manning Publications
Publication date 16 Mar. 2022
Edition 1st
Language English
Print length 425 pages
ISBN-10 1617297208
ISBN-13 978-1617297205
Item weight 210 g
Dimensions 18.75 x 2.9 x 23.5 cm

Who Should Buy?

Suitable For
  • Beginner Data Analysts

    Perfect for newcomers wanting to learn data analysis using Python and PySpark through hands-on examples and exercises.

  • Data Science Students

    Ideal for university students seeking a comprehensive guide to develop their data analysis skills using modern tools.

  • Professionals Upskilling

    Great for working professionals aiming to enhance their data analytics capabilities and employ Spark in their projects.

Not Suitable For
  • Advanced Practitioners

    Not suitable for experienced data scientists or analysts looking for advanced techniques or cutting-edge methodologies.

ОПИСАНИЕ ТОВАРА

Есть вопрос? Пообщайтесь с нами в чате

Вопросы и ответы клиентов

  • вопрос: Как покупать Data Analysis with Python and PySpark в Интернете на Ubuy?

    отвечать: Купить Data Analysis with Python and PySpark онлайн на Ubuy очень просто.. Вам просто нужно найти товар, выбрать способ доставки при оформлении заказа и получить его до вашего места.
  • вопрос: Доступен ли Data Analysis with Python and PySpark для покупок в Интернете в Kyrgyzstan?

    отвечать: Да, на Ubuy Kyrgyzstan вы можете купить этот товар по разумной цене.. Data Analysis with Python and PySpark недоступен на месте, но вы можете доверить нам наши услуги экспресс-доставки.
  • вопрос: Сколько времени занимает получение товара после размещения заказа?

    отвечать: Время доставки заказанного вами товара зависит от того, что вы заказали, и выбранного вами способа доставки.. Ориентировочное время доставки указывается в процессе оформления заказа, так что будьте беззаботны при совершении покупок.

Data Mining Editorial Review

Data Analysis With Python And PySpark is an exceptional resource that effectively introduces readers to the intricacies of PySpark and its integration with Python. The book, published by Manning Publications, spans 425 pages and is well-structured for newcomers to data analysis. Readers appreciate the clear explanations and practical techniques, which build confidence for tackling data frames and machine learning with large datasets. It successfully guides individuals from beginner to advanced levels, making it highly recommended for those looking to enhance their data analytics skills.

Customer Reviews & Ratings

4.5
37 оценки клиентов
  • 5 звезда
    71%
  • 4 звезда
    23%
  • 3 звезда
    0%
  • 2 звезда
    0%
  • 1 звезда
    6%

Оцените этот товар

Поделитесь своими впечатлениями

Плюсы

  • Well-written and easy to understand for beginners
  • Comprehensive coverage of key PySpark concepts
  • Practical techniques for data analytics pipelines
  • Guides readers from basics to advanced skills
  • Great resource for both Python and Spark integration

Минусы

  • Primarily focused on beginners; advanced users may seek more depth

Product Price History

Важная информация

  • Ограничения: обратите внимание, что для товаров, поставляемых за границу, гарантия производителя может быть недействительной; обслуживание от производителя может быть недоступно; руководства по эксплуатации, а также инструкции и предупреждения о безопасности могут быть не на языках страны назначения; товары (и сопутствующие материалы) могут не быть разработаны в соответствии со стандартами, спецификациями и требованиями к маркировке страны назначения; товары также могут не соответствовать напряжению в стране назначения и другим электрическим стандартам (при необходимости требуется использование адаптера или преобразователя). Получатель несет ответственность за обеспечение законного ввоза товара в страну назначения. При заказе через Ubuy или его аффилированных лиц получатель является зарегистрированным импортером и должен соблюдать все законы и правила страны назначения.
  • Не все товары на Ubuy выставлены на продажу, поскольку Ubuy — это глобальная поисковая система. На товары распространяются законы в области экспорта и торговли.

KGS 6454

Закажите сейчас и получите товар приблизительно Sunday, Октябрь 11

QTY:

На складе осталось всего 3 тов.
Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Особенности и преимущества

  • Seamlessly scale up data tasks with PySpark
  • Read and write data from various sources and formats
  • Build automated data pipelines for transformation and insights
  • Practical book with relevant examples and quick exercises
  • No previous knowledge of Spark required
  • Ideal for data scientists and data engineers comfortable with Python

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.