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107819259
Pandas Cookbook: Practical recipes for scientific computing time series and exploratory data analysis using Python
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Item #:
107819259
MYR 347
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Unlock the full potential of pandas 2.x and beyond with practical recipes designed to help you excel in your data analysis projects.
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What Stands Out
Comprehensive Recipes
Offers a wide array of practical recipes tailored for scientific computing, making complex data tasks simpler for users of all expertise levels.
Focused on Python
Specifically designed for Python users, ensuring compatibility and practical applications that leverage Python's libraries for time series and exploratory data analysis.
Timely Release
Scheduled for release in 2024, this cookbook incorporates the latest techniques and trends, providing readers with up-to-date knowledge and relevant insights in data processing.
Maklumat produk
- From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects.Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesThis book targets features in pandas 2.x and beyondPractical, easy to implement recipes for quick solutions to common problems in data using pandasMaster the fundamentals of pandas to quickly begin exploring any datasetBook DescriptionUnlock the full power of pandas 2.x with this hands-on cookbook, designed for Python developers, data analysts, and data scientists who need fast, efficient solutions for real-world data challenges. This book provides practical, ready-to-use recipes to streamline your workflow. With step-by-step guidance, you'll master data wrangling, visualization, performance optimization, and scalable data analysis using pandas’ most powerful features. From importing and merging large datasets to advanced time series analysis and SQL-like operations, this cookbook equips you with the tools to analyze, manipulate, and visualize data like a pro. Learn how to boost efficiency, optimize memory usage, and seamlessly integrate pandas with NumPy, PyArrow, and databases. This book will help you transform raw data into actionable insights with ease. What you will learnThe pandas type system and how to best navigate itImport/export DataFrames to/from common data formatsData exploration in pandas through dozens of practice problemsGrouping, aggregation, transformation, reshaping, and filtering dataMerge data from different sources through pandas SQL-like operationsLeverage the robust pandas time series functionality in advanced analysesScale pandas operations to get the most out of your systemThe large ecosystem that pandas can coordinate with and supplementWho this book is forThis book is for Python developers, data scientists, engineers, and analysts. pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandasTable of Contentspandas FoundationsSelection and AssignmentData TypesThe pandas I/O SystemAlgorithms and How to Apply ThemVisualizationReshaping DataFramesGroup By Temporal Data Types and AlgorithmsGeneral Usage and Performance TipsThe pandas Ecosystem
| Publisher | Packt Publishing |
| Publication date | 31 Oct. 2024 |
| Edition | 3. |
| Language | English |
| Print length | 404 pages |
| ISBN-10 | 1836205872 |
| ISBN-13 | 978-1836205876 |
| Dimensions | 19.05 x 2.31 x 23.5 cm |
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English edition William Ayd Editorial Review
Pandas Cookbook: Practical Recipes For Scientific Computing Time Series And Exploratory Data Analysis Using Python is an essential guide for anyone looking to enhance their data manipulation skills with the Pandas library. With a comprehensive 404 pages, this book, published by Packt Publishing, offers detailed explanations and practical recipes that are beneficial for everyday data analysis tasks. Users have praised it for its clarity and the ability to improve program efficiency. A reader noted how the book serves as an excellent reference tool and equips them for daily professional use of Pandas. This edition emphasizes not only practical applications but also provides critical tips, making it a well-rounded resource for beginners and experienced users alike.
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Kebaikan
- Extensive 404-page guide for Pandas users
- Offers practical recipes for daily tasks
- Excellent reference for improving coding efficiency
- Clarity in explanations enhances learning
- Ideal for both beginners and advanced users
Keburukan
- Might feel over-detailed for some advanced users
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MYR 347
Pesan sekarang dan dapatkannya lebih kurang pada Monday, Oktober 19
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- Equips readers with skills for real-world data analysis.
- Features practical recipes for quick solutions.
- Covers both fundamental and advanced data manipulation.
- Guides users through complex pandas functionalities.
- Designed for Python developers, data scientists, and analysts.
- Includes hands-on practice problems and examples.
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