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50880777
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
88% of respondents would recommend this to a friend
Item #:
50880777
AUD 97
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What Stands Out
Comprehensive Coverage
This edition offers extensive insights into data analysis using pandas and NumPy, making it suitable for beginners and experienced users aiming to refine their data wrangling skills efficiently.
Hands-On Examples
Includes practical examples and Jupyter notebooks for interactive learning, allowing readers to apply concepts immediately, thereby enhancing understanding and retention of data analysis techniques.
Updated Techniques
Features the latest techniques and best practices in data analysis, ensuring readers are well-informed and equipped to tackle modern data challenges with confidence in any analytical environment.
Product Details
| Publisher | O'Reilly Media |
| Publication date | September 20, 2022 |
| Edition | 3rd |
| Language | English |
| Print length | 579 pages |
| ISBN-10 | 109810403X |
| ISBN-13 | 978-1098104030 |
| Item Weight | 1.95 pounds (880 grams) |
| Dimensions | 7 x 1.5 x 9 inches (17.8 x 3.8 x 22.9 cm) |
Who Should Buy?
-
Aspiring Data Scientists
This book provides essential skills for beginners aiming to pursue a career in data science.
-
College Students
Undergraduate students in data-related fields can benefit from practical examples and hands-on exercises in this book.
-
Professionals Transitioning
Working professionals looking to switch careers to data analysis will find valuable resources for effective data manipulation.
-
Complete Beginners
Absolute newcomers to programming may find the concepts overwhelming without prior knowledge of Python.
Product Description
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
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Data Mining Editorial Review
The book "Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition" provides an introduction to data analysis using Python. It covers topics like data wrangling, cleaning and exploration using tools like pandas, NumPy and Jupyter. The content is geared towards people with programming experience but no familiarity with Python. However, some customers have complained about the quality of the print, stating that it looks like a black and white photocopy. Some customers have also reported issues with Kindle edition, with hyperlinks not working and the inability to copy text. Despite the negative feedback, some customers have also reported receiving a good quality book with normal print quality.
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Pros
- Provides an introduction to data analysis using Python
- Geared towards people with programming experience but no familiarity with Python
Cons
- Poor print quality for some customers
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