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Artikel #:
121215549
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
90% of respondents would recommend this to a friend
Artikel #:
121215549
€ 68
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Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.
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What Stands Out
Comprehensive Coverage
Offers in-depth insights into data analysis techniques using pandas and NumPy, making complex concepts accessible to beginners and professionals alike.
Practical Examples
Includes real-world scenarios and hands-on exercises, enhancing learning and applying skills effectively in data-driven projects.
Updated Content
The 3rd edition addresses the latest advancements in Jupyter and Python, ensuring readers are equipped with current, relevant tools and practices for data analysis.
Podrobnosti produkta
| 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) |
| Country of Origin | This item will be imported from US |
| Date First Available | August 18, 2022 |
| What is in the box | Python for Data Analysis:... For more details, please check description/product details |
Who Should Buy?
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Beginner Data Scientists
Ideal for new data scientists looking to build practical skills using pandas and NumPy in data analysis.
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Students and Learners
Suitable for university students studying data science or analytics who seek a comprehensive understanding of tools.
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Analysts Transitioning to Python
Experienced analysts familiar with other tools can transition effectively to Python using this practical and hands-on guide.
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Python Beginners
Not ideal for complete beginners in programming; prior knowledge of Python is suggested for best understanding.
OPIS IZDELKA
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
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Data Mining Editorial Review
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter is a must-read for anyone venturing into the realm of data manipulation. This book stands out due to its accessibility, with simple syntax that is ideal for learners and seasoned programmers alike. Readers appreciate its well-organized structure which allows flexibility in jumping to topics of interest, making it perfect for project-based learning. While it lacks end-of-chapter exercises, the extensive datasets provided encourage practice, promoting a deeper understanding of data wrangling concepts. The integration of other libraries, combined with the foundational work on pandas and NumPy, makes this text a comprehensive resource for cultivating data analysis skills.
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Prednosti
- Simple and straightforward syntax for easy understanding
- Well-organized structure allows jumping between chapters
- Provides numerous datasets for hands-on practice
- Integrates additional packages seamlessly with pandas and NumPy
- Engaging practical examples enhance the learning experience
Slabosti
- Pages may be fragile and susceptible to wear
Product Price History
Pomembne informacije
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€ 68
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Značilnosti in prednosti
- Comprehensive guide for Python data manipulation and analysis.
- Updated for Python 3.10 and pandas 1.4 with practical case studies.
- Perfect for both new analysts and Python programmers diving into data science.
- Written by Wes McKinney, the creator of the pandas project.
- Focuses on hands-on techniques to solve data analysis problems effectively.
- Supports continued learning with data files and materials available on GitHub.
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