Ver Original
0 ratings
Data Analysis with Python and PySpark
genuine image
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
Artigo n.º: 51423671

Data Analysis with Python and PySpark

86% of respondents would recommend this to a friend

Artigo n.º: 51423671

XOF 53559

Detalhes do Preço

Excluindo custos de envio e alfandegários ( Os custos de envio e alfandegários serão calculados na finalização da compra )

*Todos os artigos serão importados de EUA

Em stock
EUA Importado da loja USA

Qtd.:

Encomende já e receba por volta de Quinta-feira, Outubro 08
Transação seguraTransação segura

A Ubuy trabalha arduamente para proteger a sua segurança e privacidade. O nosso sistema avançado de segurança de pagamentos garante a confidencialidade ao encriptar as suas informações durante a transmissão, utilizando os protocolos AES (Normas de Encriptação Avançada) e SSL (Camada de Sockets Seguros). Os seus dados de pagamento estão 100% seguros, pois não partilhamos os seus dados de pagamento com vendedores terceiros.

Os nossos principais Parceiros Logísticos
  • 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.
Garantia U-Care:
Nenhuma
Selecione um plano
fast shipping

Fast
Shipping

free return

Devolução
gratuita*

Embalagem Segura

Embalagem Segura

Produtos 100% Originais

Produtos 100% Originais

pci-dss

Certificação PCI DSS

iso certified

Certificação ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of EUA store (110-120). Recommended power converters COMPRAR AGORA.

O que se Destaca

Comprehensive Coverage
This product offers an extensive exploration of both Python and PySpark, equipping users with the skills needed to master data analysis and big data processing efficiently.
Hands-On Learning
Engaging, practical exercises allow users to apply theoretical knowledge, enhancing retention and enabling immediate application of skills in real-world data scenarios.
User-Friendly Approach
Designed for all skill levels, the course simplifies complex concepts with clear explanations and tutorials, making data analysis accessible even for beginners.

Detalhes do produto

Find the best deals on Data Analysis with Python and PySpark at Ubuy Guinea-Bissau. Enhance your data analysis skills with Python and PySpark for insightful business decisions.
Publisher Manning Publications
Publication date March 22, 2022
Language English
Print length 456 pages
ISBN-10 1617297208
ISBN-13 978-1617297205
Item Weight 7.4 ounces (209.79 grams)
Dimensions 7.38 x 1.14 x 9.25 inches (18.7 x 2.9 x 23.5 cm)

Quem Deverá Comprar?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to leverage Python and PySpark for large-scale data analysis and machine learning.

  • Developers

    Great for software developers aiming to integrate data processing capabilities into existing applications using Python and PySpark.

  • Students

    Perfect for students studying data science who need practical experience with data analysis tools and libraries.

Not Suitable For
  • Beginners

    Not suitable for absolute beginners in programming or data analysis due to the steep learning curve involved.

DESCRIÇÃO DO PRODUTO

Data Analysis with Python and PySpark

Tem alguma Dúvida? Converse connosco

Perguntas e respostas do cliente

  • Pergunta: What are the prerequisites for learning Data Analysis with Python and PySpark?

    Resposta: To effectively learn Data Analysis with Python and PySpark, having a basic understanding of Python programming is essential. Familiarity with libraries like Pandas and NumPy is advantageous, as they are fundamental to data manipulation. Additionally, knowledge of SQL can help in understanding data querying. Many learners find it useful to have some grounding in statistical concepts, as this will aid in interpreting data insights. As you progress, scenarios like analyzing large datasets or real-time data processing will require these skills.
  • Pergunta: How does PySpark enhance data analysis capabilities compared to Python alone?

    Resposta: PySpark brings the power of distributed computing to data analysis, allowing you to handle large datasets that may not fit into memory. While Python provides a robust set of tools for data analysis, PySpark utilizes Apache Spark's core processing engine, making it scalable and faster for big data tasks. Real-world applications include analyzing streaming data from social media or processing large-scale data stored in Hadoop, showcasing how PySpark enables businesses to gain insights from vast amounts of data efficiently.
  • Pergunta: Can I perform data visualization with Python and PySpark?

    Resposta: Yes, you can perform data visualization using Python alongside PySpark. Libraries like Matplotlib and Seaborn can be utilized to create compelling visualizations of the data processed in PySpark. PySpark's DataFrames can seamlessly integrate with these visualization libraries. For instance, one might analyze customer data trends and visualize sales performance, making it easier to present insights to stakeholders or use visual data representations for more impactful decision-making.
  • Pergunta: What types of data analysis can I perform using Python and PySpark?

    Resposta: With Python and PySpark, you can perform various types of data analysis, including exploratory data analysis (EDA), statistical analysis, and predictive analytics. You can work on tasks from uncovering patterns in large datasets to building machine learning models. For example, you could use PySpark to analyze transactional data for trends and integrate Python libraries to build a model predicting future sales, streamlining business strategies and enhancing forecasting accuracy.
  • Pergunta: Is there a steep learning curve for PySpark compared to Python libraries like Pandas?

    Resposta: While there is a learning curve with PySpark, particularly in understanding distributed computing concepts, it builds upon your existing Python knowledge. Users familiar with Pandas will find that many functions are analogous in PySpark, easing the transition. As you progress, scenarios involving big data processing will highlight the benefits of PySpark, including improved performance over traditional Python methods for large datasets, enhancing your data analysis capabilities.
  • Pergunta: How do I set up the environment for Data Analysis with Python and PySpark?

    Resposta: Setting up an environment for Data Analysis with Python and PySpark typically entails installing Anaconda or using a cloud platform like Databricks or Google Colab. You will need to install PySpark and configure it to connect with Spark's cluster manager. Detailed documentation and tutorials can guide you through the installation process, ensuring you can start working on data projects. A practical approach includes running data processing tasks on cloud services for handling scalability when needed.
  • Pergunta: What are common use cases for Data Analysis with Python and PySpark in industry?

    Resposta: Data Analysis with Python and PySpark is widely used in various industries for tasks like customer segmentation, fraud detection, and recommendation systems. Companies leverage these tools to analyze massive datasets, enabling them to derive actionable insights. For example, a retail business might use PySpark to analyze shopping patterns and optimize inventory management, while financial institutions use it for monitoring transactions to detect anomalies, showcasing its applicability across sectors.
  • Pergunta: What resources are recommended for learning Data Analysis with Python and PySpark?

    Resposta: There are numerous resources available for learning Data Analysis with Python and PySpark. Online courses from platforms like Coursera or edX provide structured content, while free resources such as documentation and community forums can be invaluable. Books focusing on practical applications often help, especially those with case studies. Engaging with interactive platforms can deepen understanding, as you apply techniques in real-world scenarios to reinforce learning and experience.
  • Pergunta: Can I use Data Analysis with Python and PySpark for real-time data processing?

    Resposta: Yes, PySpark is well-suited for real-time data processing, especially with its Streaming feature. It allows you to analyze live data streams, making it ideal for applications such as monitoring user activity on websites or analyzing sensor data in IoT applications. This capability positions businesses to capitalize on immediate insights, helping in timely decision-making, which can significantly enhance operational efficiency and customer engagement.
  • Pergunta: Where can I buy Data Analysis with Python and PySpark in Guinea-Bissau?

    Resposta: You can purchase Data Analysis with Python and PySpark from Ubuy, which provides a convenient online platform for accessing a range of books and learning materials tailored for this subject. Ubuy ensures that you can find the latest editions and best offerings available for enhancing your skills in data analysis, making it a go-to option for aspiring data analysts.

Data Mining Editorial Review

Nenhuma análise editorial encontrada

Avaliações e Classificações dos Clientes

1 classificações de clientes
  • 5 Estrela
    100%
  • 4 Estrela
    0%
  • 3 Estrela
    0%
  • 2 Estrela
    0%
  • 1 Estrela
    0%

Avaliar este produto

Partilhe as suas ideias com outros clientes

CONFIANÇA NA PLATAFORMA E SEGURANÇA DO COMPRADOR

trustpilot logo
4.2/5 9477 avaliações
Ler avaliações
JK
Jasmin
Comprador verificado

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Comprador verificado

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Comprador verificado

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Comprador verificado

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Comprador verificado

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Checkout Seguro Entrega Global Devoluções Fáceis Produtos Genuínos

Histórico de preços do produto

Informação importante

  • Limitações: para produtos expedidos internacionalmente, tenha em atenção que qualquer garantia do fabricante pode não ser válida; opções de serviço do fabricante podem não estar disponíveis; manuais de produtos, instruções e avisos de segurança podem não estar nas línguas do país de destino; os produtos (e materiais que o acompanham) pode não ter sido concebido em conformidade com as normas, especificações e requisitos de rotulagem do país de destino; e os produtos podem não estar em conformidade com a voltagem e outras normas elétricas do país de destino (requerendo assim o uso de um adaptador ou conversor caso seja apropriado). O destinatário é responsável por garantir que o produto pode ser legalmente importado para o país de destino. Quando encomenda à Ubuy ou aos seus afiliados, o destinatário é o importador de registo e deve estar em conformidade com todas as leis e regulamentos do país de destino.
  • Nem todos os produtos listados na Ubuy estão à venda, uma vez que a Ubuy é um motor de busca global. Os produtos estão sujeitos a leis de exportação/comércio.

XOF 53559

Encomende já e receba por volta de Quinta-feira, Outubro 08

Qtd.:

Transação seguraTransação segura

Em conformidade com a norma PCI DSS e com certificação ISO 27001:2022, com pagamentos encriptados e proteção total do comprador em todas as encomendas.

Os nossos principais Parceiros Logísticos
  • fedex
  • dhl
Entrega internacional mais rápida

Recursos e benefícios

  • 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.