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34172601
Python for Excel: A Modern Environment for Automation and Data Analysis, (Paperback)
95% of respondents would recommend this to a friend
Item #:
34172601
GTQ 946
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What Stands Out
Automation Efficiency
Leverage Python to automate repetitive Excel tasks, enhancing productivity and allowing users to focus on data analysis instead of manual entry.
Data Analysis Power
Utilize powerful libraries like Pandas and NumPy seamlessly within Excel, enabling complex data manipulations and insights that conventional tools struggle to provide.
User-Friendly Integration
The book presents practical examples and workflows that integrate Python with Excel, making it accessible for both beginners and experienced users looking to enhance their data processing skills.
Product Details
- 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
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | April, 2021 |
| Pages | 335 |
| Reading level | Professional & Vocational |
| Subgenre | Languages |
| Series title | No Series |
| Edition | 1 |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Awards won | None |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 0.70 x 9.19 in (17.8 x 1.8 x 23.3 cm) |
| Assembled product weight | 1.19 lb (540 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Analysts
Ideal for professionals looking to enhance their Excel data manipulation and automation capabilities using Python.
-
Excel Users
Perfect for Excel users seeking to leverage Python for advanced analytics and automation tasks beyond traditional methods.
-
Beginner Programmers
Great for beginners in programming who want to learn how to integrate Python with Excel for data tasks.
-
Absolute Beginners
Not suitable for those unfamiliar with programming concepts, as it requires some basic understanding of Python.
Product Description
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Felix Zumstein All Books Editorial Review
Python for Excel: A Modern Environment for Automation and Data Analysis is a significant resource for computing professionals. This paperback edition, published in April 2021 by O'Reilly Media, spans 335 pages and is designed to cater to a professional audience interested in automating their data analysis with Python. The book provides insights into leveraging Excel's capabilities through Python, enabling readers to enhance their workflow efficiently. Readers have praised its thorough explanations and practical applications, making it an appealing choice for those looking to refine their data manipulation skills.
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Pros
- Detailed automation techniques for data analysis
- User-friendly for those familiar with Excel
- Practical examples aid understanding
- Up-to-date publication enhances relevance
- Non-fiction book suitable for professionals
Cons
- May not cover very advanced Python applications
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