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- Ultimate Pandas for Data Manipulation and Vis...
Ultimate Pandas for Data Manipulation and Visualization: Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library
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Unlock the power of Pandas, the essential Python library for data analysis and manipulation.
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What Stands Out
Produkta informācija
| Publisher | Orange Education Pvt. Ltd |
| Publication date | June 10, 2024 |
| Language | English |
| Print length | 361 pages |
| ISBN-10 | 8197256241 |
| ISBN-13 | 978-8197256240 |
| Item Weight | 1.37 pounds (620 grams) |
| Dimensions | 7.5 x 0.82 x 9.25 inches (19.1 x 2.1 x 23.5 cm) |
| Book 2 of 2 | Scientific Python Specialist u2014 Core Path |
Who Should Buy?
-
Data Analysts
Ideal for data analysts looking to efficiently handle and visualize data for better insights and reporting.
-
Data Scientists
Great for data scientists needing powerful tools for data manipulation and visualization in their machine learning projects.
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Students Learning Python
Beneficial for students aiming to learn data manipulation concepts using Python's popular pandas library with practical examples.
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Complete Beginners
Not suitable for complete programming novices who lack basic understanding of Python and data processing concepts.
PRODUKTA APRAKSTS
Ultimate Pandas for Data Manipulation and Visualization: Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library ... (Scientific Python Specialist Core Path)
Klientu jautājumi un atbildes
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jautājums:
What is Pandas?
atbildi: Pandas is an essential Python library for data analysis and manipulation. -
jautājums:
Who is this book for?
atbildi: This book is for anyone looking to master data analysis and manipulation using Pandas, from beginners to advanced users. -
jautājums:
How does this book help in real-life applications?
atbildi: It provides practical use cases, like analyzing bank customer churn, to apply the skills learned.
Data Modeling & Design Editorial Review
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Funkcijas un priekšrocības
- Master every aspect of data analysis with Pandas.
- Learn from basics to advanced techniques with hands-on examples.
- Gain skills in data cleaning, filtering, and aggregation.
- Discover methods for reshaping, merging data, and time series analysis.
- Enhance data analysis with compelling visualizations using Matplotlib.
- Apply your knowledge with real-world scenarios like analyzing bank customer churn.
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