What is the primary focus of the Python Data Cleaning Cookbook?

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.

Who is the target audience for the Python Data Cleaning Cookbook?

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.

What specific techniques does the Python Data Cleaning Cookbook cover?

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.

How does the cookbook benefit those using Python for data projects?

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.

Are there any prerequisites for using the Python Data Cleaning Cookbook?

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.

Can the techniques in the Python Data Cleaning Cookbook be applied to large datasets?

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.

What types of data sources does the Python Data Cleaning Cookbook focus on?

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.

Will I find examples and case studies in the Python Data Cleaning Cookbook?

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.

Is the Python Data Cleaning Cookbook suitable for self-study?

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.

Where can I buy the Python Data Cleaning Cookbook in Portugal?

You can purchase the Python Data Cleaning Cookbook through Ubuy in Portugal. 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.

Python Data Cleaning Cookbook: Modern techniques and está disponível para compras online em Portugal?

Sim, na Ubuy Portugal este produto está disponível para você comprar a um preço razoável.. O Python Data Cleaning Cookbook: Modern techniques and não está disponível localmente, mas você pode confiar em nós com nossos serviços de remessa expressa.

Quanto tempo leva para receber o produto após fazer o pedido?

O tempo de entrega do seu produto encomendado varia de acordo com o que você pediu e o método de envio que você escolheu.. O tempo estimado de entrega é mencionado durante o processo de checkout, portanto, fique despreocupado ao fazer compras.

Ver Original

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.

Artigo n.º: 35028587

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

86% of respondents would recommend this to a friend

Artigo n.º: 35028587

€ 46

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}

Disponibilidade : Em stock

Importado da loja USA

Qtd.:

Encomende já e receba por volta de Quarta-feira, Setembro 30

Transação segura

Os nossos principais Parceiros Logísticos

This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques.

Garantia U-Care:

Nenhuma

Selecione um plano

Fast
Shipping

Devolução
gratuita^*

Embalagem Segura

Produtos 100% Originais

Certificação PCI DSS

Certificação ISO 27001

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

O que se 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.

Detalhes do produto

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)

Quem Deverá Comprar?

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.

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

DESCRIÇÃO DO PRODUTO

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.

Tem alguma Dúvida? Converse connosco

Perguntas e respostas do cliente

Pergunta: Como comprar Python Data Cleaning Cookbook: Modern techniques and online na Ubuy?

Resposta: É fácil comprar Python Data Cleaning Cookbook: Modern techniques and online na Ubuy.. Você só precisa procurar o produto, escolher a forma de envio na hora de finalizar a compra e receber no seu endereço.
Pergunta: Python Data Cleaning Cookbook: Modern techniques and está disponível para compras online em Portugal?

Resposta: Sim, na Ubuy Portugal este produto está disponível para você comprar a um preço razoável.. O Python Data Cleaning Cookbook: Modern techniques and não está disponível localmente, mas você pode confiar em nós com nossos serviços de remessa expressa.
Pergunta: Quanto tempo leva para receber o produto após fazer o pedido?

Resposta: O tempo de entrega do seu produto encomendado varia de acordo com o que você pediu e o método de envio que você escolheu.. O tempo estimado de entrega é mencionado durante o processo de checkout, portanto, fique despreocupado ao fazer compras.

Data Mining Editorial Review

Nenhuma análise editorial encontrada

Avaliações e Classificações dos Clientes

4.0

1 classificações de clientes

5 Estrela

0%
4 Estrela

100%
3 Estrela

0%
2 Estrela

0%
1 Estrela

0%

Avaliar este produto

Partilhe as suas ideias com outros clientes

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.

€ 46

Encomende já e receba por volta de Quarta-feira, Setembro 30

Qtd.:

Transação 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

Entrega internacional mais rápida

Recursos e benefícios

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

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.

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

€ 46

Fast Shipping

Devolução gratuita*

Embalagem Segura

Produtos 100% Originais

Certificação PCI DSS

Certificação ISO 27001

O que se Destaca

Detalhes do produto

Quem Deverá Comprar?

DESCRIÇÃO DO PRODUTO

Dietary Supplement Disclaimer

Perguntas e respostas do cliente

Data Mining Editorial Review

Avaliações e Classificações dos Clientes

Avaliar este produto

Histórico de preços do produto

Informação importante

€ 46

Recursos e benefícios

Ubuy Assurance

Fast
Shipping

Devolução
gratuita^*