Titel: Python for Excel: A Modern Environment for Automation and Data Analysis (Paperback or Softback)
Verlag: O'Reilly Media 3/30/2021
Erscheinungsjahr: 2021
Sprache: Englisch
ISBN-10: 1492081000
ISBN-13: 9781492081005
Einband: Paperback or Softback
Zustand: New
Buchtyp: Book

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Inhaltsangabe

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.

Use Python without extensive programming knowledge
Get started with modern tools, including Jupyter notebooks and Visual Studio code
Use pandas to acquire, clean, and analyze data and replace typical Excel calculations
Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports
Use xlwings to build interactive Excel tools that use Python as a calculation engine
Connect Excel to databases and CSV files and fetch data from the internet using Python code
Use Python as a single tool to replace VBA, Power Query, and Power Pivot

�ber die Autorin bzw. den Autor

Felix Zumstein is creator and maintainer of xlwings, a popular open-source package that allows the automation of Excel with Python on Windows and macOS. He also organizes the xlwings meetups in London and NYC to promote a broad range of innovative solutions for Excel. As CEO of xltrail, a version control system for Excel files, he has talked to hundreds of users who use Excel for business critical tasks and has therefore gained deep insight into the typical uses cases and issues with Excel across various industries.

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