Pandas Cookbook. (Record no. 15236)
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| fixed length control field | 03108nam a2200289uu 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250710181508.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250616s||||||||||||||||o||||||||||| |d |
| 024 80 - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 9781836205869 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | PACKT |
| Transcribing agency | PACKT |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | en |
| 044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE | |
| MARC country code | GB |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | William Ayd |
| Relator term | author. |
| 245 00 - TITLE STATEMENT | |
| Title | Pandas Cookbook. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | GB: |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2024-10-31. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2024-10-31 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | GB: |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 404. |
| 377 ## - ASSOCIATED LANGUAGE | |
| Language code | en |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | <p><b>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.<br/>Bonus: Free PDF copy + join our Discord + code files</b></p><h4>Key Features</h4><ul><li>This book targets features in pandas 2.x and beyond</li><li>Practical, easy to implement recipes for quick solutions to common problems in data using pandas</li><li>Master the fundamentals of pandas to quickly begin exploring any dataset</li></ul><h4>Book Description</h4>Unlock 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. <br/>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. <br/><h4>What you will learn</h4><ul><li>The pandas type system and how to best navigate it</li><li>Import/export DataFrames to/from common data formats</li><li>Data exploration in pandas through dozens of practice problems</li><li>Grouping, aggregation, transformation, reshaping, and filtering data</li><li>Merge data from different sources through pandas SQL-like operations</li><li>Leverage the robust pandas time series functionality in advanced analyses</li><li>Scale pandas operations to get the most out of your system</li><li>The large ecosystem that pandas can coordinate with and supplement</li></ul><h4>Who this book is for</h4>This 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 pandas. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Data in extended ASCII character set. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: Internet. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Matthew Harrison |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wes McKinney |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | PACKT |
| 773 0# - HOST ITEM ENTRY | |
| Title | Pandas Cookbook |
| Place, publisher, and date of publication | GB,Packt,2024-10-31 |
| Physical description | 404 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://learning.packt.com/product/480483">https://learning.packt.com/product/480483</a> |
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