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OR_ocn937392429 |
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OCoLC |
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20231017213018.0 |
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m o d |
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160208s2016 caua o 001 0 eng d |
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|a 938358414
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|a 9781491956809
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|a UAMI
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100 |
1 |
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|a Kazil, Jacqueline,
|e author.
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245 |
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|a Data wrangling with Python :
|b tips and tools to make your life easier /
|c Jacqueline Kazil and Katharine Jarmul.
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250 |
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|a First edition.
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264 |
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|a Sebastopol, CA :
|b O'Reilly Media,
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|a Online resource; title from PDF title page (Ebsco, viewed February 11, 2016).
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500 |
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|a Includes index.
|
520 |
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|a "How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started."--Provided by publisher
|
505 |
0 |
|
|a Introduction to Python -- Python basics -- Data meant to be read by machines -- Working with Excel files -- PDFs and problem solving in Python -- Acquiring and storing data -- Data cleanup: investigation, matching, and formatting -- Data cleanup: standardizing and scripting -- Data exploration and analysis -- Presenting your data -- Web scraping: acquiring and storing data from the web -- Advanced web scraping: screen scrapers and spiders -- APIs -- Automation and scaling -- Conclusion.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Python (Computer program language)
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|a Data mining.
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700 |
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|a Jarmul, Katharine,
|e author.
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|u https://learning.oreilly.com/library/view/~/9781491948804/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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