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211025 ||| eng |
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|a 9781638351047
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|a 9781617297434
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|a 1617297437
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|a QA76.76.A63
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| 100 |
1 |
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|a Paskhaver, Boris
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| 245 |
0 |
0 |
|a Pandas in Action
|c Boris Paskhaver
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| 260 |
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|a Shelter Island, NY
|b Manning Publications
|c 2021
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| 300 |
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|a 368 pages
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| 505 |
0 |
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|a Part 1. Core pandas -- 1 Introducing pandas -- 2 The Series object -- 3 Series methods -- 4 The DataFrame object -- 5 Filtering a DataFrame; Part 2. Applied pandas -- 6 Working with text data -- 7 MultiIndex DataFrames -- 8 Reshaping and pivoting -- 9 The GroupBy object -- 10 Merging, joining, and concatenating -- 11 Working with dates and times -- 12 Imports and exports -- 13 Configuring pandas -- 14 Visualization -- Appendix A. Installation and setup -- Appendix B. Python crash course -- Appendix C. NumPy crash course -- Appendix D. Generating fake data with Faker -- Appendix E. Regular expressions
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| 653 |
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|a Application program interfaces (Computer software) / http://id.loc.gov/authorities/subjects/sh98004527
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| 653 |
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|a APIs (interfaces) / aat
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| 653 |
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|a Application program interfaces (Computer software) / fast
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| 653 |
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|a Interfaces de programmation d'applications
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Includes index
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|a GBC1E1570
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|z 163835104X
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|z 9781617297434
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|u https://learning.oreilly.com/library/view/~/9781617297434/?ar
|x Verlag
|3 Volltext
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|a 005.1068
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| 520 |
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|a "Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software. Pandas has rapidly become one of Python's most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You'll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data. You'll learn to automate repetitive operations and gain deeper insights into your data that would be impractical--or impossible--in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you'll find in the real world."
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