Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Shelter Island, New York]
Manning Publications
2021
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781617297434AU/?ar https://learning.oreilly.com/library/view/~/9781617297434AU/?ar |
| Zusammenfassung: | Of all the introductory pandas books I've read--and I did read a few--this is the best, by a mile. Erico Lendzian, idibu.com 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. In Pandas in Action you will learn: Import datasets, identify issues with their data structures, and optimize them for efficiency Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Use a GroupBy object to store multiple DataFrames 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. about the technology Data analysis with Python doesn't have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It's a perfect way to up your data game. about the book Pandas in Action introduces Python-based data analysis using the amazing pandas library. 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. about the audience For readers experienced with spreadsheets and basic Python programming. about the author Boris Paskhaver is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries. This approachable guide will get you up and running quickly with all the basics you need to analyze your data. Jonathan Sharley, SiriusXM Media Understanding and putting in practice the concepts of this book will help you increase productivity and make you look like a pro. Jose Apablaza, Steadfast Networks Teaches both novice and expert Python users the essential concepts required for data analysis and data science. Ben McNamara, DataGeek NARRATED BY JULIE BRIERLEY. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed May 4, 2022) |
| Umfang: | 1 online resource (1 audio file (07 hr., 12 min.)) |
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| spelling | Paskhaver, Boris VerfasserIn aut Pandas in action Boris Paskhaver [First edition]. [Shelter Island, New York] Manning Publications 2021 1 online resource (1 audio file (07 hr., 12 min.)) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed May 4, 2022) Of all the introductory pandas books I've read--and I did read a few--this is the best, by a mile. Erico Lendzian, idibu.com 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. In Pandas in Action you will learn: Import datasets, identify issues with their data structures, and optimize them for efficiency Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Use a GroupBy object to store multiple DataFrames 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. about the technology Data analysis with Python doesn't have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It's a perfect way to up your data game. about the book Pandas in Action introduces Python-based data analysis using the amazing pandas library. 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. about the audience For readers experienced with spreadsheets and basic Python programming. about the author Boris Paskhaver is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries. This approachable guide will get you up and running quickly with all the basics you need to analyze your data. Jonathan Sharley, SiriusXM Media Understanding and putting in practice the concepts of this book will help you increase productivity and make you look like a pro. Jose Apablaza, Steadfast Networks Teaches both novice and expert Python users the essential concepts required for data analysis and data science. Ben McNamara, DataGeek NARRATED BY JULIE BRIERLEY. Application program interfaces (Computer software) Python (Computer program language) Interfaces de programmation d'applications Python (Langage de programmation) APIs (interfaces) Downloadable audio books Audiobooks Livres audio Brierley, Julie ErzählerIn nrt |
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