
Manage and Automate Data Analysis with Pandas in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex.
Addison-Wesley Data & Analytics Pandas for Everyone: Python Data Analysis, Paperback
NZD 105
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Manage and Automate Data Analysis with Pandas in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex.
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Product Details
- Manage and automate data analysis with Pandas in Python
- Learn practical knowledge and insight for solving real problems with Pandas
- Updated coverage of plotting and the seaborn data visualization library
- Includes examples, resources, and online bonus material
- Covers data cleaning techniques, model fitting, and performance tips
- Explore advanced features like linear modeling and unsupervised machine learning
| Language | English |
| Series Title | Addison-Wesley Data & Analytics |
| Publisher | Pearson Education |
| Book Format | Paperback |
| Original Languages | English |
| Number of Pages | 512 |
| Author | Addison-Wesley Professional |
| Is Large Print | N |
| Title | Pandas for Everyone: Python Data Analysis |
| ISBN-13 | 9780137891153 |
| Publication Date | December, 2022 |
| ISBN-10 | 0137891156 |
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pages | 512 |
| Reading level | Professional and Scholarly |
| Subgenre | Languages |
| Edition | 2nd Edition |
| Original languages | English |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Beginner Programmers
Ideal for individuals new to programming, offering a clear introduction to Python and data analysis with practical examples.
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Data Analysts
Great for aspiring data analysts looking to enhance their skills in data manipulation and analysis using the Pandas library.
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Academic Students
Well-suited for students studying data science or analytics courses, providing foundational knowledge essential for academic success.
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Advanced Users
Not ideal for experienced data scientists who seek advanced techniques or complex data analysis beyond basic Pandas functionalities.
Product Description
Addison-Wesley Data & Analytics Pandas for Everyone: Python Data Analysis, Paperback
Product Buying Guide
Data and analytics have become an integral part of modern-day businesses, with a critical need to manage and automate data analysis efficiently. The Addison-Wesley Data & Analytics: Pandas for Everyone : Python Data Analysis Edition 2 Paperback is a valuable resource that helps analysts harness the power of the open-source Pandas library in Python for data analysis, regardless of the data's complexity or size. Whether you are new to Python data analysis or looking to enhance your skills, this guide is designed to provide practical knowledge and insights for solving real-world problems with Pandas.
Product Specifications
- Author: Daniel Y. Chen
- Edition: 2nd Edition
- Format: Paperback
- Coverage: Python 3.9 code and packages, statsmodels, scikit-learn libraries, seaborn data visualization library
- Bonus Material: Online resources on geopandas, Dask, and creating interactive graphics with Altair
Key Features
- Extensive coverage of Pandas to manage and automate data analysis efficiently
- In-depth examples and practical insights for solving real problems with Pandas
- Updated Python 3.9 code and packages coverage for contemporary data analysis
- Online bonus material on geopandas, Dask, and creating interactive graphics with Altair
Usage Scenarios
- Automating and performing data analysis tasks regardless of the size or complexity of the data
- Cleaning and structuring data sets for efficient analysis and visualization
- Applying advanced data cleaning techniques and fitting models for prediction, clustering, and exploration
Usage Scenarios
No directly specified competitors mentioned in the product details.
Some User Review
- The book offers valuable insights and practical examples for leveraging Pandas in Python data analysis. The bonus online material enhances the learning experience and provides a comprehensive understanding of data analysis with Pandas.
- The updated Python 3.9 coverage and in-depth examples make it suitable for both beginners and experienced analysts looking to enhance their data analysis skills.
Competitors
- The price of the paperback is competitive and offers good value considering the comprehensive coverage of Pandas for data analysis. It is an investment that can significantly enhance one's data analysis skills and efficiency.
Buying Considerations
- Consider the updated coverage of Python 3.9 and the extensive examples and practical insights provided in this 2nd Edition for a comprehensive learning experience.
- The online bonus material on geopandas, Dask, and creating interactive graphics with Altair adds further value to the product and should be factored into the buying decision.
Conclusion
The Addison-Wesley Data & Analytics: Pandas for Everyone : Python Data Analysis Edition 2 Paperback is a valuable asset for individuals looking to master the art of data analysis with Pandas. With updated coverage, in-depth examples, and bonus online material, it provides a holistic learning experience for both beginners and experienced analysts.
View LessData and analytics have become an integral part of modern-day businesses, with a critical need to manage and automate data analysis efficiently. The Addison-Wesley Data & Analytics: Pandas for Everyone : Python Data Analysis Edition 2 Paperback is a valuable resource that helps analysts harness the power of the open-source Pandas library in Python for data analysis, regardless of the data's complexity or size. Whether you are new to Python data analysis or looking to enhance your skills, this guide is designed to provide practical knowledge and insights for solving real-world problems with Pandas. Continue Reading
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Features & Benefits
- Automate data analysis tasks using Pandas in Python
- Suitable for managing data of high variety, velocity, and volume
- Can handle large and complex data analysis tasks
- Ensure data veracity and visualize it effectively for decision-making
- Reproducibility across multiple data sets
- Practical guide for solving real-world data science problems
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