Data Visualization in Python with Pandas and Matplotlib
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Data Visualization in Python with Pandas and Matplotlib is a comprehensive guide for beginners to build a strong foundation for advanced work using these libraries
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What Stands Out
Product Details
- Designed for absolute beginners with basic Python knowledge
- Guides you through Data Visualization and Exploration using Python, Pandas, and Matplotlib
- Teaches you how to load and manipulate datasets with Pandas
- Covers different styles of Matplotlib plotting and customization
- Explores a wide variety of plot types, including 3D plots and joint plots
- Includes common tasks, frequently searched questions, and plot types not built-in to Matplotlib
| Publisher | Independently published |
| Publication date | June 16, 2021 |
| Language | English |
| Print length | 447 pages |
| ISBN-13 | 979-8521342877 |
| Item Weight | 1.92 pounds (870 grams) |
| Dimensions | 7.44 x 1.05 x 9.69 inches (18.9 x 2.7 x 24.6 cm) |
Who Should Buy?
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Data Analysts
Perfect for data analysts looking to visualize datasets efficiently using popular Python libraries like Pandas and Matplotlib.
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Students
Great choice for students studying data science or related fields who need hands-on experience with data visualization.
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Beginner Programmers
Ideal for beginners in programming who want to learn data visualization concepts through practical examples and clear instructions.
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Advanced Users
Not suitable for advanced users seeking in-depth analytics or highly specialized visualization techniques beyond basic Python libraries.
Product Description
Data Visualization in Python with Pandas and Matplotlib
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Schools & Teaching Editorial Review
Data Visualization in Python with Pandas and Matplotlib is a significant resource for anyone looking to understand data plotting in Python. The book is recognized for its well-structured content and detailed examples that clearly illustrate the use of Matplotlib. Many readers appreciate the inclusion of several datasets, enhancing their learning experience by allowing them to engage in hands-on projects. However, some readers note that certain chapters like those on Pandas are too brief, potentially leaving beginners wanting more in-depth explanations. The book does cover crucial installation steps but could benefit from a more engaging organization, making it easier to navigate the content effectively.
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Pros
- Well-structured content with clear explanations
- Includes multiple datasets for practical learning
- Great resource for building a foundation in Matplotlib
- Serves as a good reference for Pandas
- Easy to follow for beginners in data visualization
Cons
- Some chapters may feel overly brief or unnecessary
Product Price History
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Features & Benefits
- Designed for absolute beginners with basic Python knowledge
- Practical, hands-on and straightforward examples
- Learn how to load and manipulate datasets with Pandas
- Different styles of Matplotlib plotting and anatomy of Matplotlib plots
- Covers a great deal of different plot types
- One-stop-shop for Matplotlib-related questions
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