Python excel users know von stephens tracy (4 Ergebnisse)
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Zustand: New. 2025. paperback. . . . . . Books ship from the US and Ireland.
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Taschenbuch. Zustand: Neu. Python for Excel Users | Know Excel? You Can Learn Python | Tracy Stephens | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Random House LLC US | EAN 9781718503984 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Neuware - When Excel isn't enough, it's time to learn Python.If you're comfortable in Excel, but you've hit a wallslow files, broken formulas, hours spent on repetitive tasksthis book offers a way forward. It shows you how to take the work you already do in spreadsheets and make it faster, smarter, and… more powerful with Python.You'll start by setting up your environment and getting comfortable with Python through short, Excel-inspired exercises. From there, you'll gradually move into writing scripts that automate manual work, structure your data, and generate consistent resultsno prior programming knowledge required.You'll use your preexisting Excel skills to learn how to:- Translate spreadsheet logic into Python code- Use pandas to clean, reshape, and filter data- Automate reports you'd normally build by hand- Read and write Excel files directly from Python- Connect to databases and APIs- Create professional visualizations with Plotly and Dash- Organize code into sharable modules and write simple tests Throughout the book, you'll find practical examples that show why and how to move your work out of spreadsheets and into scripts, and how to resolve issues along the way.Author Tracy Stephens has extensive practical experience with both Excel and Python. Her approach is grounded in real workflows, and she introduces each concept through tasks you've likely handled in Excel.This book won't ask you to replace everything you do in spreadsheets, but it will help you use Python to work faster, more reliably, and with greater flexibility than you ever could with Excel.
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paperback. Zustand: Sehr gut. 344 Seiten; 9781718503984.2 Gewicht in Gramm: 500.
