000 01809nam a22001577a 4500
082 _a005.54
_bZUM-P
100 _aZumstein, Felix
245 _a Python for Excel: a Modern environment for automation and data analysis
_cBy Felix Zumstein
250 _a1
260 _aMumbai:
_bShroof Publisher and distributor
_cc2021.
300 _ai-xvii+317P.
505 _aI. 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)
520 _aWhile 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.
650 _a Microsoft Excel (Computer file) Electronic spreadsheets -- Computer programs. Python (Computer program language)
942 _cBK
999 _c297494
_d297494