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46205243
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing
82% of respondents would recommend this to a friend
Item #:
46205243
XOF 32667
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By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.
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What Stands Out
Comprehensive Learning
Master data analysis techniques using NumPy and Pandas through hands-on exercises, ensuring a practical understanding of these essential libraries for data manipulation and analysis.
Real-World Applications
Designed with real-world datasets and scenarios, this guide prepares learners to tackle actual data challenges, enhancing their skills and marketability in data-driven industries.
User-Friendly Approach
Offers a clear, step-by-step methodology, making complex concepts accessible for beginners, while still providing depth for experienced users seeking to refine their data analysis expertise.
Product Details
| Publisher | Packt Publishing |
| Publication date | June 29, 2018 |
| Language | English |
| Print length | 168 pages |
| ISBN-10 | 1789530792 |
| ISBN-13 | 978-1789530797 |
| Item Weight | 10.5 ounces (297.68 grams) |
| Dimensions | 7.5 x 0.38 x 9.25 inches (19.1 x 1 x 23.5 cm) |
Who Should Buy?
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Data Analysts
Ideal for data analysts looking to enhance their skills in data manipulation and analysis using Python libraries.
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Beginners in Python
Great for beginners who want to learn data analysis with hands-on examples in Python, specifically using NumPy and Pandas.
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Machine Learning Enthusiasts
Beneficial for those interested in applying data analysis techniques to improve machine learning models and data preprocessing.
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Advanced Users
Experienced data scientists may find the content too basic and not challenging enough for their advanced needs.
Product Description
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing
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Customer Questions & Answers
-
Question:
Do I need prior experience in data analysis to use this book?
Answer: No, this book is designed for those with no previous experience in data analysis. -
Question:
What Python packages will I learn about?
Answer: You will learn about the NumPy and pandas packages, essential for data analysis. -
Question:
Is this book suitable for beginners?
Answer: Yes, it's specifically tailored for beginner Python developers starting in data analysis.
Data Modeling & Design Editorial Review
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing provides a solid foundation for individuals looking to enhance their data analysis skills. The book effectively covers essential topics such as data cleaning using Python, making it a valuable resource for those with prior knowledge in data analysis. However, readers have noted challenges with readability, especially concerning code snippets, which can be difficult to follow. The author presents various practical examples, but some may find themselves needing to seek additional online resources to fully grasp certain concepts, which detracts from the learning experience.
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Pros
- Delivers exactly what is promised in the title
- Introductory writing style suitable for beginners
- Includes plenty of practical examples
- Focuses on essential data cleaning techniques
- Supplemental references for practical application
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Features & Benefits
- Learn to set up a Python data analysis environment.
- Master the powerful NumPy package for advanced mathematical functions.
- Discover how to create and manipulate data arrays efficiently.
- Explore the pandas extension for effective data mining and subsetting.
- Understand hierarchical indexing and data plotting techniques.
- Ideal for Python developers venturing into data analysis without prior experience.
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