NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Extending Excel with Python and R. (Record no. 15969)

MARC details
000 -LEADER
fixed length control field 03189nam a2200277uu 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250710182905.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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024 80 - OTHER STANDARD IDENTIFIER
Standard number or code 9781804615546
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 Steven Sanderson
Relator term author.
245 00 - TITLE STATEMENT
Title Extending Excel with Python and R.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. GB:
Name of publisher, distributor, etc. Packt,
Date of publication, distribution, etc. 2024-04-30.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2024-04-30
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 344.
377 ## - ASSOCIATED LANGUAGE
Language code en
520 ## - SUMMARY, ETC.
Summary, etc. <p><b>Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivity</b></p><h4>Key Features</h4><ul><li>Perform advanced data analysis and visualization techniques with R and Python on Excel data</li><li>Use exploratory data analysis and pivot table analysis for deeper insights into your data</li><li>Integrate R and Python code directly into Excel using VBA or API endpoints</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>- Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics. - This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. - Working through the chapters, you'll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. - Both beginners and experts will get everything you need to unlock Excel's full potential and take your data analysis skills to the next level. - By the end of this book, you'll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed. <h4>What you will learn</h4><ul><li>Read and write Excel files with R and Python libraries</li><li>Automate Excel tasks with R and Python scripts</li><li>Use R and Python to execute Excel VBA macros</li><li>Format Excel sheets using R and Python packages</li><li>Create graphs with ggplot2 and Matplotlib in Excel</li><li>Analyze Excel data with statistical methods and time series analysis</li><li>Explore various methods to call R and Python functions from Excel</li></ul><h4>Who this book is for</h4>- If you're a data analyst or data scientist, or a quants, actuaries, or data practitioner looking to enhance your Excel skills and expand your data analysis capabilities with R and Python, this book is for you. - The comprehensive approach to the topics covered makes it suitable for both beginners and intermediate learners. - A basic understanding of Excel, Python, and R is all you need to get started. .
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 David Kun
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element PACKT
773 0# - HOST ITEM ENTRY
Title Extending Excel with Python and R
Place, publisher, and date of publication GB,Packt,2024-04-30
Physical description 344
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://learning.packt.com/product/471546">https://learning.packt.com/product/471546</a>

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