Title
Pandas Cookbook: Recipes For Scientific Computing, Time Series Analysis And Data Visualization Using Python
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Publisher'S Note: A New Second Edition, Updated Completely For Pandas 1.X With Additional Chapters, Has Now Been Published. This Edition From 2017 Is Outdated And Is Based On Pandas 0.20. Key Features Use The Power Of Pandas 0.20 To Solve Most Complex Scientific Computing Problems With Ease Leverage Fast, Robust Data Structures In Pandas 0.20 To Gain Useful Insights From Your Data Practical, Easy To Implement Recipes For Quick Solutions To Common Problems In Data Using Pandas 0.20 Book Descriptionthis Book Will Provide You With Unique, Idiomatic, And Fun Recipes For Both Fundamental And Advanced Data Manipulation Tasks With Pandas 0.20. Some Recipes Focus On Achieving A Deeper Understanding Of Basic Principles, Or Comparing And Contrasting Two Similar Operations. Other Recipes Will Dive Deep Into A Particular Dataset, Uncovering New And Unexpected Insights Along The Way.The Pandas Library Is Massive, And It'S Common For Frequent Users To Be Unaware Of Many Of Its More Impressive Features. The Official Pandas Documentation, While Thorough, Does Not Contain Many Useful Examples Of How To Piece Together Multiple Commands Like One Would Do During An Actual Analysis. This Book Guides You, As If You Were Looking Over The Shoulder Of An Expert, Through Practical Situations That You Are Highly Likely To Encounter.Many Advanced Recipes Combine Several Different Features Across The Pandas 0.20 Library To Generate Results. What You Will Learn Master The Fundamentals Of Pandas 0.20 To Quickly Begin Exploring Any Dataset Isolate Any Subset Of Data By Properly Selecting And Querying The Data Split Data Into Independent Groups Before Applying Aggregations And Transformations To Each Group Restructure Data Into Tidy Form To Make Data Analysis And Visualization Easier Prepare Realworld Messy Datasets For Machine Learning Combine And Merge Data From Different Sources Through Pandas Sqllike Operations Utilize Pandas Unparalleled Time Series Functionality Create Beautiful And Insightful Visualizations Through Pandas 0.20 Direct Hooks To Matplotlib And Seaborn
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- Q: How many pages are in the Pandas Cookbook? A: This book contains five hundred thirty-two pages. It offers extensive coverage of pandas for scientific computing and data analysis.
- Q: What is the binding type of the book? A: The book is paperback. This makes it lightweight and portable for easy reading and reference.
- Q: Who is the author of this cookbook? A: The author is Theodore Petrou. He is known for his expertise in data science and Python programming.
- Q: What are the dimensions of the book? A: The book measures nine point twenty-five inches in length, seven point fifty-two inches in width, and nine point twenty-five inches in height. These dimensions make it a convenient size for study.
- Q: What is the main focus of the Pandas Cookbook? A: The main focus is on recipes for scientific computing and data visualization using Python's pandas library. It includes practical techniques for data manipulation.
- Q: How can I use the recipes in this book? A: You can use the recipes to solve data manipulation tasks and enhance your data analysis skills. Each recipe provides step-by-step guidance for practical applications.
- Q: Is this book suitable for beginners? A: Yes, the book is suitable for both novice and advanced users. It includes helpful tips and tricks for mastering pandas effectively.
- Q: What topics does the book cover? A: The book covers topics such as data cleaning, visualization, and advanced data manipulation techniques using pandas. It's comprehensive and practical.
- Q: Can I use this book for learning data visualization? A: Yes, the book includes recipes that help create insightful visualizations. It integrates pandas with Matplotlib and Seaborn for effective graphing.
- Q: How do I keep this book in good condition? A: To keep the book in good condition, store it in a dry place away from direct sunlight. Avoid bending or damaging the pages.
- Q: What if my book arrives damaged? A: If your book arrives damaged, you should contact the seller for a return or replacement. Many retailers have customer service policies in place.
- Q: Is there a warranty for this book? A: No, books typically do not come with a warranty. However, you can return it if it is defective upon arrival.
- Q: How can I enhance my understanding of pandas with this book? A: You can enhance your understanding by following the hands-on recipes and practical examples provided throughout the book.
- Q: Does the book provide examples from real datasets? A: Yes, the book includes examples from real-world datasets to help you apply what you learn to actual data analysis challenges.
- Q: What edition is the Pandas Cookbook? A: This is the second edition of the Pandas Cookbook. It has been updated completely for pandas 1.x, enhancing its relevance.