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153566928
Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter
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Item #:
153566928
AED 297
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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
This edition offers an in-depth exploration of pandas, NumPy, and Jupyter, ensuring readers grasp advanced data analysis techniques to enhance their analytical skills effectively.
Practical Examples
Filled with real-world examples, the book equips readers with hands-on experience, empowering them to tackle complex data manipulation problems with confidence.
Updated Content
With the latest tools and techniques, this edition reflects current trends in data science, making it a valuable resource for aspiring data analysts and professionals alike.
Product Details
- Definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python
- Updated for Python 3.10 and pandas 1.4
- Packed with practical case studies for effective data analysis
- Written by Wes McKinney, creator of the Python pandas project
- Ideal for analysts new to Python and programmers new to data science
- Includes data files and related material on GitHub
| Publisher | O'Reilly Media |
| Publication date | 26 Aug. 2022 |
| Edition | 3rd |
| Language | English |
| Print length | 550 pages |
| ISBN-10 | 109810403X |
| ISBN-13 | 978-1098104030 |
| Item weight | 885 g |
| Dimensions | 17.78 x 3.81 x 22.86 cm |
Who Should Buy?
-
Aspiring Data Analysts
Ideal for beginners seeking to learn data manipulation techniques using pandas and NumPy effectively.
-
Data Science Students
Perfect for students who want a practical resource to supplement their coursework in data analysis.
-
Professionals Reskilling
Useful for individuals transitioning to data-related roles and needing to learn essential Python libraries.
-
Complete Beginners
Not suitable for those with no programming background as it requires some familiarity with Python.
Product Description
Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter
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AED 297
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Features & Benefits
- Practical guide for solving data analysis problems in Python with latest versions of pandas, NumPy, and Jupyter
- Ideal for analysts new to Python and for Python programmers new to data science and scientific computing
- Includes practical case studies and real-world examples to demonstrate key concepts
- Learn how to manipulate, process, clean, and crunch datasets with flexible tools
- Create informative visualizations with matplotlib and analyze time series data
- Data files and related material available on GitHub
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