Python Power


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Python for Excel


Python for Excel

Author: Felix Zumstein

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2021-03-04


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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

Python Power!


Python Power!

Author: Matthew A. Telles

language: en

Publisher: Course Technology PTR

Release Date: 2008


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A guide to the Python computer language covers such topics as data types, control flow, functions and modules, exception handling, the GUI library, and input and output functionality.

Intelligent Informatics


Intelligent Informatics

Author: Sankar K. Pal

language: en

Publisher: Springer Nature

Release Date: 2024-10-17


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This book constitutes thoroughly refereed post-conference proceedings of the 8th International Symposium on Intelligent Informatics (ISI 2023), December 18–20, 2023, Bangalore, India. The revised papers presented were carefully reviewed and selected from several initial submissions. The scope of the symposium includes AI, machine learning, cognitive computing, soft computing, security informatics, data science, computer vision, pattern recognition, intelligent software engineering, intelligent networked systems, IoT, cyber-physical systems, and NLP. The book is directed to the researchers and scientists engaged in various fields of computing and network communication domains.