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Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals
by 作者: Matthew Rosch (Author)
Publisher Finelybook 出版社: GitforGits (April 10, 2023)
Language 语言: English
pages 页数: 175 pages
ISBN-10 书号: 8119177061
ISBN-13 书号: 9788119177066
Book Description
Mastering Data Wrangling and Analysis for Modern Data Science
"Learning Pandas 2.0" is an essential guide for anyone looking to harness the power of Python's premier data manipulation library. With this comprehensive resource, you will not only master core Pandas 2.0 concepts but also learn how to employ its advanced features to perform efficient data manipulation and analysis.
Throughout the book, you will acquire a deep understanding of Pandas 2.0's data structures, indexing, and selection techniques. Gain expertise in loading, storing, and cleaning data from various file formats and sources, ensuring data integrity and consistency. As you progress, you will delve into advanced data transformation, merging, and aggregation methods to extract meaningful insights and generate insightful reports.
"Learning Pandas 2.0" also covers specialized data processing needs like time series data, DateTime operations, and geospatial analysis. Furthermore, this book demonstrates how to integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics. This will empower you to build powerful data-driven models to solve complex problems and enhance your decision-making capabilities.
What sets "Learning Pandas 2.0" apart from other books is its focus on numerous practical examples, allowing you to apply your newly acquired skills to tricky scenarios. By the end of this book, you will have the confidence and knowledge needed to perform efficient and robust data analysis using Pandas 2.0, setting you on the path to becoming a data analysis powerhouse.
Key Learnings
Master core Pandas 2.0 concepts, including data structures, indexing, and selection for efficient data manipulation.
Load, store, and clean data from various file formats and sources, ensuring data integrity and consistency.
Perform advanced data transformation, merging, and aggregation techniques for insightful analysis and reporting.
Harness time series data, DateTime operations, and geospatial analysis for specialized data processing needs.
Visualize data effectively using Seaborn, Plotly, and advanced geospatial visualization tools.
Integrate Pandas 2.0 with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch for predictive analytics.
Table of Content
1. Introduction to Pandas 2.0
2. Data Read, Storage, and File Formats
3. Indexing andSelecting Data
4. Data Manipulation and Transformation
5. Time Series and DateTime Operations
6. Performance Optimization andScaling
8. Text Data and Natural Language Processing
7. Machine Learning with Pandas 20
9. Geospatial Data Analysis
Audience
Whether you're a seasoned data professional or just starting your journey in data science, "Learning Pandas 2.0" isthe perfect resource to helpl you harnessthe power of this cutting-edge library. This book is an absolute resource for implementing Pandas 2.0 in every possible data manipulation and analysis project.
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