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8326834
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
85% of respondents would recommend this to a friend
Item #:
8326834
SAR 314
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Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python
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What Stands Out
Comprehensive Coverage
This edition provides an in-depth exploration of data manipulation techniques using Pandas and NumPy, addressing essential data wrangling needs for analysts and data scientists alike.
Practical Examples
Includes numerous real-world examples and case studies, enabling users to apply learned concepts effectively and enhance their understanding of data analysis workflows.
Updated Tools
Covers the latest advancements in IPython and related libraries, ensuring users are equipped with up-to-date tools and techniques for modern data analysis challenges.
Product Details
- Complete instructions for manipulating, processing, cleaning, and crunching datasets in Python
- Practical case studies demonstrating effective solutions for data analysis problems
- Covers the latest versions of pandas, NumPy, IPython, and Jupiter
- Written by Wes McKinney, the creator of the Python pandas project
- Ideal for analysts and Python programmers new to data science and scientific computing
- Includes detailed examples for solving real-world data analysis problems
| Publisher | O'Reilly Media |
| Publication date | November 14, 2017 |
| Edition | 2nd |
| Language | English |
| Print length | 550 pages |
| ISBN-10 | 1491957662 |
| ISBN-13 | 978-1491957660 |
| Item Weight | 1.85 pounds (840 grams) |
| Dimensions | 7.25 x 1 x 9.5 inches (18.4 x 2.5 x 24.1 cm) |
Who Should Buy?
-
Data Analysts
Ideal for data analysts looking to enhance their data manipulation and analysis skills using Python libraries.
-
Students
Students in data science or programming courses who need a practical guide to data handling techniques.
-
Professionals
Professionals using data-driven decision-making who wish to leverage Python for efficient data processing.
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Complete Beginners
Not suitable for those with no prior programming or data analysis experience, as foundational knowledge is assumed.
Product Description
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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Data Modeling & Design Editorial Review
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition is a well-written book that provides clear and concise examples for learning data analysis in Python. The author, Wes McKinney, the creator of Pandas, demonstrates deep understanding of the topic and uses code snippets to illustrate his points effectively. However, some readers found the book challenging to understand, especially for beginners without programming background. The book covers a range of topics, but some readers felt that the topics were random and lacked coherence. Overall, it is a useful resource for learning data analysis in Python, but may require persistence and additional resources for beginners.
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Pros
- Well-written by the creator of Pandas
- Clear and concise examples
- Useful in terms of getting data into and out of Python from other sources
- Written by the creator of Pandas
- Demonstrates deep understanding of the topic
Cons
- Challenging for beginners without programming background
Product Price History
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Features & Benefits
- Learn data analysis with Python 3.6
- Hands-on guide with practical case studies
- Ideal for beginners in Python and data science
- GitHub access to data files and materials
- Solve real-world data analysis problems
- Thorough and detailed examples
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