Python for Excel: a Modern environment for automation and data analysis By Felix Zumstein
Material type: TextPublication details: Mumbai: Shroof Publisher and distributor c2021.Edition: 1Description: i-xvii+317PSubject(s): DDC classification:- 005.54 ZUM-P
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
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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