Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
genuine image
Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques.
Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights
Nº de artículo: 35028587

Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights

86% de los encuestados recomiendan este producto a un amigo

Nº de artículo: 35028587

MXN 1113

Detalles del precio

Sin incluir gastos de envío y aduana ( Los gastos de envío y aduana se calcularán al finalizar la compra )

*Todos los artículos se importarán desde Estados Unidos

En stock
Estados Unidos Importado de la tienda de EE.UU.
Haz tu pedido ahora y lo recibirás alrededor del Miércoles, Septiembre 30
Transacción SeguraTransacción Segura

Ubuy trabaja arduamente para proteger tu seguridad y privacidad. Nuestro avanzado sistema de seguridad de pagos garantiza la confidencialidad al cifrar tu información durante la transmisión mediante los protocolos AES (Estándares de Cifrado Avanzado) y SSL (Capa de Conexión Segura). Tus datos de pago están 100% seguros, ya que no compartimos tu información de pago con vendedores externos.

Nuestros socios logísticos principales
  • fedex
  • dhl
This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques.
Garantía U-Care:
Ninguno
Selecciona un plan
fast shipping

Fast
Shipping

free return

Devolución
gratuita*

Empaque seguro

Empaque seguro

Productos 100% originales

Productos 100% originales

pci-dss

Cumplimiento PCI DSS

iso certified

Certificado ISO 27001

paypal payment
visa payment
mastercard payment
bank transfer payment

Lo que destaca

Modern Techniques
Incorporates cutting-edge methods for data cleaning, ensuring users are equipped with the latest strategies to tackle dirty data challenges effectively.
Comprehensive Tools
Offers an extensive selection of Python tools tailored for data cleaning, enabling users to efficiently extract valuable insights and enhance data quality.
User-Centric Approach
Designed for both beginners and seasoned analysts, providing practical examples and easy-to-follow instructions that simplify complex data cleaning processes.

Detalles de producto

Discover modern techniques and Python tools to detect and remove dirty data, extract key insights. Shop now at Ubuy México.
  • Learn various data cleaning techniques using Python to reveal key insights
  • Manipulate data of different complexities to shape them according to business needs
  • Clean, monitor, and validate large data volumes before analysis
  • Book provides essential tools and techniques for data cleaning and handling using Python
  • Discusses reading and analyzing data from multiple sources, addressing messy data issues, and using visualizations for EDA
  • Ideal for individuals seeking to handle messy, duplicate, and poor data using Python tools and techniques
Publisher Packt Publishing
Publication date December 11, 2020
Language English
Print length 436 pages
ISBN-10 1800565666
ISBN-13 978-1800565661
Item Weight 1.64 pounds (740 grams)
Dimensions 7.5 x 0.99 x 9.25 inches (19.1 x 2.5 x 23.5 cm)

¿Quién debería comprarlo?

Suitable For
  • Data Analysts

    Data analysts looking to enhance their skills in data cleaning using modern Python techniques will find this cookbook invaluable.

  • Data Scientists

    Data scientists needing effective methods to preprocess datasets for analysis and model training will benefit greatly from this resource.

  • Python Beginners

    Beginners in Python who seek practical applications of data cleaning will find clear examples and guidance in this cookbook.

Not Suitable For
  • Advanced Users

    Advanced data professionals might find the cookbook's content too basic and not suitable for their complex data needs.

DESCRIPCIÓN DEL PRODUCTO

Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights

Dietary Supplement Disclaimer

Statements regarding dietary supplements have not been evaluated by the Food and Drug Administration and are not intended to diagnose, treat, cure, or prevent any disease or health condition.


¿Tiene alguna pregunta? Chatea con nosotros

Preguntas y respuestas de los clientes

  • pregunta: What is the primary focus of the Python Data Cleaning Cookbook?

    respuesta: The Python Data Cleaning Cookbook is designed to help data professionals learn modern techniques and practical Python tools that can effectively detect and eliminate dirty data. It emphasizes step-by-step recipes that simplify complex processes, making it easier for users to clean their datasets efficiently. By focusing on key principles and methodologies, the cookbook not only aids in improving data quality but also enhances the overall data analysis process, making it invaluable for professionals who aim to extract meaningful insights from their data.
  • pregunta: Who is the target audience for the Python Data Cleaning Cookbook?

    respuesta: The cookbook targets data scientists, analysts, and anyone involved in data preparation and cleaning tasks, from beginners to experienced professionals. It is particularly useful for those who seek to enhance their skill set in Python and data analysis techniques. With practical recipes designed for various skill levels, readers can benefit from the insights whether they are just beginning their data journey or looking to refine advanced data cleaning strategies.
  • pregunta: What specific techniques does the Python Data Cleaning Cookbook cover?

    respuesta: The Python Data Cleaning Cookbook covers a wide range of techniques including data validation, normalization, outlier detection, and handling missing values. Each section provides actionable recipes that are easy to follow. These techniques are crucial in ensuring that datasets are accurate, consistent, and ready for analysis, ultimately accelerating insights extraction. Users can apply these techniques in numerous domains, from business analytics to research, maximizing the impact of their data.
  • pregunta: How does the cookbook benefit those using Python for data projects?

    respuesta: The cookbook's structured approach offers a wealth of practical examples and code snippets that can be readily applied to real data projects. By following these recipes, users gain hands-on experience and improve their Python proficiency, particularly in data manipulation using libraries like Pandas and NumPy. This practical knowledge is essential for tackling data cleaning challenges in any project, allowing users to become more effective and efficient in their work.
  • pregunta: Are there any prerequisites for using the Python Data Cleaning Cookbook?

    respuesta: While there are no strict prerequisites, a basic understanding of Python programming and familiarity with data manipulation concepts will enhance the reading experience. The cookbook assumes that users have some foundational knowledge of Python syntax and libraries. Readers new to Python may benefit from introductory resources before diving into the specific data cleaning techniques discussed in the cookbook.
  • pregunta: Can the techniques in the Python Data Cleaning Cookbook be applied to large datasets?

    respuesta: Yes, the techniques presented in the Python Data Cleaning Cookbook are designed to handle datasets of various sizes, including large data volumes. The use of efficient coding practices and optimized libraries ensures that users can process large datasets without significant performance issues. This capability is essential in today’s data-driven world, as many organizations regularly deal with extensive data sets that require thorough cleaning for accurate analysis.
  • pregunta: What types of data sources does the Python Data Cleaning Cookbook focus on?

    respuesta: The cookbook focuses on a range of data sources including CSV files, Excel spreadsheets, SQL databases, and JSON formats. It provides guidance on how to clean and prepare data from these sources effectively. This versatility ensures that users can work with different kinds of data seamlessly, making it easier to integrate new datasets into their analysis workflows, regardless of the format they originate from.
  • pregunta: Will I find examples and case studies in the Python Data Cleaning Cookbook?

    respuesta: Yes, the cookbook includes numerous examples and real-world case studies that illustrate how the various data cleaning techniques can be applied in practice. These examples help users visualize the outcomes of the methods presented, enhancing the learning experience. By contextualizing the recipes within real scenarios, users can better understand their applications and relevance in different industries, making the cookbook a practical tool for learning.
  • pregunta: Is the Python Data Cleaning Cookbook suitable for self-study?

    respuesta: Absolutely! The structured format of the cookbook, complete with step-by-step instructions, makes it perfect for self-study. Each recipe focuses on a specific cleaning task, allowing readers to easily follow along and apply the concepts independently. This is particularly beneficial for those who prefer to learn at their own pace or who are managing projects outside of a formal classroom setting, making it an ideal resource for personal development.
  • pregunta: Where can I buy the Python Data Cleaning Cookbook in Mexico?

    respuesta: You can purchase the Python Data Cleaning Cookbook through Ubuy in Mexico. Ubuy is a reliable platform that offers a wide selection of books and educational resources, ensuring you can get this essential cookbook conveniently delivered to your doorstep. Simply visit the Ubuy website, search for the cookbook, and experience a seamless shopping experience.

Data Mining Editorial Review

Python Data Cleaning Cookbook provides a comprehensive guide for software developers who need to process, clean and refine their datasets. The cookbook format, where each recipe provides a coding solution to specific problems, is effective in providing a range of techniques to help users extract meaningful insights. The book covers topics like detecting anomalies, visualizing data, and processing it at a macroscopic level. One of the standout features of the book is the author's ability to provide a 'WHY' behind data processing tasks, giving readers a deeper understanding of the concepts. The book is approachable for those new to Python and data processing and provides hands-on examples to help Consolidate information.

Reseña y calificación de los clientes

1 calificaciones de los clientes
  • 5 estrellas
    0%
  • 4 estrellas
    100%
  • 3 estrellas
    0%
  • 2 estrellas
    0%
  • 1 estrellas
    0%

Reseñe este producto

Comparta su opinión con otros clientes

Ventajas

  • Comprehensive guide for processing, cleaning and refining datasets
  • Effective cookbook format with each recipe addressing specific problems
  • Covers detecting anomalies, visualizing data and processing data at a macroscopic level
  • 'WHY' behind data processing tasks provided
  • Approachable for beginners
  • Provides hands-on examples

Desventajas

  • Some beginners may find it challenging to follow along

CONFIANZA EN LA PLATAFORMA Y PROTECCIÓN AL COMPRADOR

trustpilot logo
4.2/5 9477 reviews
Leer reseñas
JK
Jasmin
Verified buyer

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

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“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
Verified buyer

“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
Verified buyer

“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
Verified buyer

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

8 September 2026 · via Trustpilot
Pago seguro Entrega mundial Devoluciones fáciles Productos originales

Historial de precios del producto

Información importante

  • Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
  • No todos los productos que aparecen en Ubuy están a la venta, ya que Ubuy es un motor de búsqueda a nivel mundial. Los productos están sujetos a las normas de exportación/comercio.

MXN 1113

Haz tu pedido ahora y lo recibirás alrededor del Miércoles, Septiembre 30

CANT.:

Transacción SeguraTransacción Segura

Cumplimos con PCI DSS y contamos con certificación ISO 27001:2022, con pagos cifrados y protección total al comprador en cada pedido.

Nuestros socios logísticos principales
  • fedex
  • dhl
La entrega internacional más rápida

Características y beneficios

  • Discover various data cleaning techniques to reveal key insights
  • Manipulate data of different complexities to shape them into the right form for business needs
  • Clean, monitor, and validate large data volumes to diagnose problems before analyzing
  • Create visualizations to gain insights and identify data issues
  • Build functions and classes for automating data cleaning
  • Requires only working knowledge of Python programming

Garantía Ubuy

Disfruta de compras sin preocupaciones con productos 100% originales, seguridad de pago certificada por PCI DSS, protección de datos con certificación ISO 27001, la entrega internacional más rápida, devoluciones gratis y empaque seguro en cada pedido.*