Ultimate Pandas for Data Manipulation and Visualization
Language: English
Published by Orange Education Pvt Ltd, IN, 2024
Series: Book 2 of 2 - Scientific Python Specialist — Core Path
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketSeller Inventory # LU-9788197256240
- Title
- Ultimate Pandas for Data Manipulation and Visualization
- Author
- Tahera Firdose
- Publisher
- Orange Education Pvt Ltd, IN
- Publication year
- 2024
- Condition
- New
- Binding
- Digital download
- Language
- English
- ISBN 10
- 8197256241
- ISBN 13
- 9788197256240
- Dimensions
- 23.5 x 19.05 x 2.08 cm
- Series
- Book 2 of 2: Scientific Python Specialist — Core Path
Book Description
Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures.
Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis.
Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights.
Table of Contents
1. Introduction to Pandas and Data Analysis
2. Pandas Series
3. Pandas DataFrame
4. Data Cleaning with Pandas
5. Data Filtering with Pandas
6. Grouping and Aggregating Data
7. Reshaping and Pivoting in Pandas
8. Joining and Merging Data in Pandas
9. Introduction to Time Series Analysis in Pandas
10. Visualization Using Matplotlib
11. Analyzing Bank Customer Churn Using Pandas
Index
"Synopsis" may belong to another edition of this title.
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