查看原文
0 ratings
Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data ... (Graph & Big Data Analytics Applied Path)
genuine image
Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data ... (Graph & Big Data Analytics Applied Path)
Unlock new, actionable insights from your data with Graph Data Science with Python and Neo4j.
Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data ... (Graph & Big Data Analytics Applied Path)
商品＃: 101196647

Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data ...

商品＃: 101196647

TWD 1329

Price Details

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

*All items will import from 美國

0 ratings 撰寫評論
有存貨
美國 從USA商店匯入
立即訂購並活動它 週三, 七月 08
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
Unlock new, actionable insights from your data with Graph Data Science with Python and Neo4j.
U-Care保固：
沒有
選擇一個計劃
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 Learning
Offers hands-on projects that teach graph data science concepts using Python and Neo4j, enabling learners to visualize and analyze complex data relationships effectively.
Real-World Application
Focuses on practical applications of graph data science in enterprise strategies, making the skills acquired highly relevant and valuable for professionals in various industries.
Integrated Approach
Seamlessly integrates Python with Neo4j, providing readers actionable insights into data processing and enhancing their ability to tackle complex analytical problems using a modern toolkit.

產品詳情

Shop Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data ... (Graph & Big Data Analytics Applied Path) online at a best price in Taiwan. 8197081964
Item Weight1 lbs (450 grams)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to enhance skills in graph data analysis using Python and Neo4j.

  • Data Analysts

    Beneficial for analysts wishing to visualize and manipulate complex datasets with graph structures.

  • Developers

    Great for developers interested in integrating graph databases into applications for data-rich environments.

Not Suitable For
  • Beginners

    Not suitable for beginners without prior knowledge of Python or database management concepts.

  • Non-Technical Users

    May not benefit non-technical users who lack experience in programming or data science principles.

  • Casual Learners

    Not ideal for individuals seeking light, introductory content rather than hands-on, project-based learning.

產品描述

Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data ... (Graph & Big Data Analytics Applied Path)

有疑問？ 和我們聊天

客戶問答

  • 問題: What is the main focus of the book 'Graph Data Science with Python and Neo4j'?

    Answer: The primary focus of this book is to teach readers how to integrate Python with Neo4j for data visualization and analysis specifically within the realm of graph data science. By engaging with hands-on projects, readers can grasp complex concepts through practical applications. This approach not only enhances understanding but also gives you the skills to implement graph algorithms and create visualizations that reveal insightful patterns in your data.
  • 問題: Who is the target audience for this book?

    Answer: This book is designed for data scientists, software developers, students, and analytics professionals interested in leveraging graph databases and data science techniques. It caters to individuals with a basic understanding of Python and statistics and offers a structured approach to applying these skills in real-world scenarios. By focusing on hands-on projects, the book helps bridge the gap between theory and practice, making it ideal for anyone looking to deepen their knowledge in graph data science.
  • 問題: What programming skills do I need to start this book?

    Answer: To effectively engage with 'Graph Data Science with Python and Neo4j', you should have a foundational understanding of Python programming. Familiarity with basic data manipulation and visualization using libraries such as Pandas and Matplotlib is also beneficial. These skills will allow you to fully participate in the hands-on projects found within the book. As you progress, you will also learn how to utilize Neo4j's query language, Cypher, expanding your skill set even further.
  • 問題: What types of projects can I expect to work on?

    Answer: The book includes a range of hands-on projects that cover various applications of graph data science. These may include social network analysis, recommendation systems, fraud detection, and more. Each project is designed to provide a practical context for applying the theoretical concepts discussed in the text. By working through these projects, you’ll gain valuable experience in using graph databases for real-world data challenges.
  • 問題: How does this book integrate Python and Neo4j?

    Answer: The integration of Python and Neo4j in this book is facilitated through detailed examples and practical exercises that demonstrate how to use the Neo4j Python Driver in data science projects. You will learn how to leverage Python for data manipulation, visualization, and running queries in Neo4j. This seamless integration allows you to build powerful applications that can analyze and visualize complex data sets effectively.
  • 問題: Does this book cover data visualization techniques?

    Answer: Yes, the book thoroughly covers data visualization techniques tailored for graph data. Through hands-on projects, you’ll learn to create visual representations of graph data, helping you to uncover insights that traditional tabular data formats may obscure. By understanding how to visualize data effectively, you will enhance your storytelling capabilities, allowing stakeholders to grasp complex data relationships at a glance.
  • 問題: Can this book help in preparing for data science interviews?

    Answer: Absolutely! 'Graph Data Science with Python and Neo4j' equips you with practical, hands-on experience that can enhance your resume and interview preparation for data science roles. Familiarity with graph databases and the ability to analyze complex datasets are increasingly sought-after skills. By working through the projects, you will build a portfolio of tangible work that demonstrates your problem-solving skills in data science, which is valuable during an interview.
  • 問題: What prerequisites should I have before starting this book?

    Answer: Before diving into 'Graph Data Science with Python and Neo4j', you should have a basic understanding of Python programming, some familiarity with data analysis concepts, and an interest in graph theory. While the book starts with introductory content, having these skills will help you follow along more comfortably. Additionally, understanding statistical basics can enhance your ability to interpret data insights as you progress through the topics.
  • 問題: What makes this book different from other data science books?

    Answer: The distinct feature of 'Graph Data Science with Python and Neo4j' is its specific focus on graph data science, an area that many data science books overlook. The combination of practical projects, theoretical discussions, and the integration of two powerful tools—Python and Neo4j—provides a unique learning experience. This specialization allows readers to explore graph databases in-depth, making it a valuable resource for those specifically interested in this field.
  • 問題: Where can I buy 'Graph Data Science with Python and Neo4j'?

    Answer: You can purchase 'Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data ...' from Ubuy in Taiwan. Ubuy offers a variety of options for obtaining this book, making it easier for customers in Taiwan to access valuable resources for their learning and professional development. Explore Ubuy’s platform for additional details and purchasing options.

Structured Design Editorial Review

未找到編輯評論

Customer Reviews & Ratings

4.0
1 客戶評價
  • 5 星
    0%
  • 4 星
    100%
  • 3 星
    0%
  • 2 星
    0%
  • 1 星
    0%

評論這個產品

和其他客戶分享您的想法

優點

  • Engaging hands-on projects
  • Great for beginners and experts
  • Excellent use of real-world examples
  • Strong focus on data visualization
  • Clear and concise explanations

缺點

  • Some projects may require prior knowledge.

Product Price History

重要資訊

  • 限制：對於國際運輸的產品，請注意任何製造商保修可能無效；製造商服務選項可能不可用；產品手冊、說明和安全警告可能不是目的地國家的語言；產品（及隨附材料）的設計可能不符合目的地國家的標準、規範和標籤要求；並且產品可能不符合目的地國家的電壓和其他電氣標準（如果適用，需要使用適配器或轉換器）。收件人有責任確保產品可以合法進口到目的地國家。當從Ubuy或其關聯公司訂購時，收件人是記錄在案的進口人，並且必須遵守目的地國家的所有法律和法規。
  • 由於Ubuy是一個全球搜索引擎，因此並非Ubuy上列出的所有產品都在出售。產品受出口/貿易法規的約束。

TWD 1329

立即訂購並活動它 週三, 七月 08

QTY:

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
Fastest cross-border delivery

特色和優勢

  • Comprehensive guide integrating Python and Neo4j for graph data science.
  • Hands-on approach to solving real-world challenges with interconnected data.
  • Focus on practical application with detailed explanations and examples.
  • Explore advanced analytics and machine learning techniques.
  • Utilizes cutting-edge integrations with Large Language Models like ChatGPT.
  • Includes access to a dedicated GitHub repository for code examples.