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Python for Excel: a Modern environment for automation and data analysis By Felix Zumstein

By: Material type: TextTextPublication details: Mumbai: Shroof Publisher and distributor c2021.Edition: 1Description: i-xvii+317PSubject(s): DDC classification:
  • 005.54 ZUM-P
Contents:
I. Introduction to Python (71 pages) 1 Why Python for Excel? 2 Development Environment 3 Getting Started with Python II. Introduction to pandas (66 pages) 4 NumPy Foundations 5 Data Analysis with pandas 6 Time Series Analysis with pandas III. Reading and Writing Excel Files without Excel (40 pages) 7 Excel File Manipulation with pandas 8 Excel File Manipulation with Reader and Writer Packages IV. Programming the Excel Application with xlwings (96 pages) 9 Excel Automation 10 Python-Powered Excel Tools 11 The Python Package Tracker 12 User-Defined Functions (UDFs)
Summary: While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 005.54 ZUM-P (Browse shelf(Opens below)) Available DCB4016

I. Introduction to Python (71 pages)
1 Why Python for Excel?
2 Development Environment
3 Getting Started with Python

II. Introduction to pandas (66 pages)
4 NumPy Foundations
5 Data Analysis with pandas
6 Time Series Analysis with pandas

III. Reading and Writing Excel Files without Excel (40 pages)
7 Excel File Manipulation with pandas
8 Excel File Manipulation with Reader and Writer Packages

IV. Programming the Excel Application with xlwings (96 pages)
9 Excel Automation
10 Python-Powered Excel Tools
11 The Python Package Tracker
12 User-Defined Functions (UDFs)

While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently. Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started.

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