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Item #:
101958092
Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
88% of respondents would recommend this to a friend
Item #:
101958092
€ 50
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Unlock the full potential of pandas 2.x and beyond with practical recipes designed to help you excel in your data analysis projects.
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What Stands Out
Comprehensive Recipes
Offers a wide range of practical recipes that simplify complex data processing tasks, making it accessible for both beginners and experienced data scientists in Python.
Time Series Expertise
Specifically addresses time series analysis techniques, providing readers with valuable insights and tools to handle real-world financial and scientific data effectively.
Hands-On Learning
Encourages experiential learning through hands-on coding examples, enhancing readers' practical skills in exploratory data analysis and scientific computing using Python.
Product Details
| Publisher | Packt Publishing |
| Publication date | October 31, 2024 |
| Edition | 3rd ed. |
| Language | English |
| Print length | 404 pages |
| ISBN-10 | 1836205872 |
| ISBN-13 | 978-1836205876 |
| Item Weight | 1.52 pounds (690 grams) |
| Dimensions | 7.5 x 0.91 x 9.25 inches (19.1 x 2.3 x 23.5 cm) |
Who Should Buy?
-
Data Analysts
Ideal for data analysts looking to enhance their skills in using Pandas for data manipulation and analysis.
-
Students
Beneficial for students studying data science who want to learn practical applications of Python and Pandas.
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Professionals
Suitable for professionals in data science fields needing quick references for effective data handling and analysis.
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Beginners
Not suitable for complete beginners, as it assumes some prior knowledge of Python and data analysis concepts.
Product Description
Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
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Data Mining Editorial Review
Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python is an excellent resource for those starting their journey in data management with Python. This third edition, published by Packt Publishing, offers 404 pages of clear, concise, and practical examples to help novices understand the Pandas library's capabilities. Readers praise its step-by-step instructional approach, which effectively covers various aspects of data manipulation, including data selection, file access, and visualization. Despite some concerns about the grayscale print quality, the included PDF and the wealth of knowledge provided make it a recommended tool for developers, engineers, and data scientists alike.
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Pros
- Easy to follow and practical examples
- Ideal for beginners and novice data scientists
- Covers a wide range of data management topics
- Includes PDF for better readability
- Encourages understanding of advanced concepts
Product Price History
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Features & Benefits
- Equips readers with skills for real-world data analysis.
- Features practical recipes for quick solutions.
- Covers both fundamental and advanced data manipulation.
- Guides users through complex pandas functionalities.
- Designed for Python developers, data scientists, and analysts.
- Includes hands-on practice problems and examples.
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