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Python for Excel: A Modern Environment for Automation and Data Analysis
86% of respondents would recommend this to a friend
USD 73
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Use Python without extensive programming knowledge
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What Stands Out
Product Details
- Integrate Python with Excel efficiently using modern tools such as Jupyter notebooks and Visual Studio code
- Automate tasks like data acquisition, cleaning, analysis, and Excel report production with pandas
- Use xlwings to build interactive Excel tools with Python as a calculation engine
- Connect Excel to databases and CSV files, and fetch data from the internet using Python code
- Replace VBA, Power Query, and Power Pivot with Python as a single tool
- Target audience: Advanced Excel users and seasoned VBA developers looking to leverage Python for automation and data analysis in Excel
| Package Weight | 3 Pound |
Who Should Buy?
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Data Analysts
Allows data analysts to automate repetitive tasks in Excel, enhancing productivity and efficiency.
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Python Developers
Python developers can leverage this tool to integrate advanced data analysis capabilities directly within Excel.
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Business Analysts
Business analysts can use it to perform complex data manipulations and visualizations effortlessly in Excel.
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Excel Beginners
Users new to Excel may find this product overwhelming and difficult to navigate without prior experience.
Product Description
Python for Excel: A Modern Environment for Automation and Data Analysis
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VBA Editorial Review
"Python for Excel: A Modern Environment for Automation and Data Analysis" is a comprehensive and informative resource for individuals looking to integrate Python with Excel and VBA. The book is divided into different parts, with the first two covering Python and the powerful pandas data analysis package. These sections are quick and easy to read, making it a great resource for individuals looking to get up to speed with Python even if they don't plan to use Excel or VBA. The book also delves into the bidirectional integration of Python with Excel and VBA, using the xlwings package to simplify the task. The author, Felix Zumstein, is praised for his technical writing skills, striking a balance between brevity, clarity, and informativeness. The book is described as a page-turner, with readers learning something significant and useful on nearly every page. For individuals with prior experience in Excel and VBA, integrating Python with Excel using the guidance from this book is deemed relatively straightforward. The use of xlwings is highlighted as a valuable tool for simplifying the process. Overall, "Python for Excel: A Modern Environment for Automation and Data Analysis" is highly recommended for those looking to extend their Python skills and integrate it with Excel and VBA.
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Pros
- Clear and informative technical writing style
- Quick and easy-to-read sections on Python and pandas
- Comprehensive coverage of integrating Python with Excel and VBA
- xlwings package simplifies the integration process
Cons
- Some readers felt that the book wasted too much space on an entry-level Python primer
Product Price History
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USD 73
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Features & Benefits
- Integrate Python and Excel efficiently
- Modern tools like Jupyter notebooks and Visual Studio code
- Automate tedious tasks and replace typical Excel calculations
- Build interactive Excel tools using Python as a calculation engine
- Connect Excel to databases and CSV files using Python code
- Python as a single tool to replace VBA, Power Query, and Power Pivot
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