Pandas Basics / / Oswald Campesato.
This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistic...
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| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2022] ©2022 |
| Year of Publication: | 2022 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (200 p.) |
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| 001 | 9781683928256 | ||
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| 100 | 1 | |a Campesato, Oswald, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Pandas Basics / |c Oswald Campesato. |
| 264 | 1 | |a Dulles, VA : |b Mercury Learning and Information, |c [2022] | |
| 264 | 4 | |c ©2022 | |
| 300 | |a 1 online resource (200 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t Chapter 1: Introduction to Python -- |t Chapter 2: Working with Data -- |t Chapter 3: Introduction to Probability and Statistics -- |t Chapter 4: Introduction to Pandas (1) -- |t Chapter 5: Introduction to Pandas (2) -- |t Chapter 6: Introduction to Pandas (3) -- |t Chapter 7: Data Visualization -- |t Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualizationIncludes an introductory chapter on PythonCompanion files with code | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Aug 2023) | |
| 650 | 4 | |a Data. | |
| 650 | 4 | |a Programming. | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Python. |2 bisacsh | |
| 653 | |a Computer Science. | ||
| 653 | |a Data Science. | ||
| 653 | |a Developers. | ||
| 653 | |a Matplotlib. | ||
| 653 | |a NumPy. | ||
| 653 | |a Programming. | ||
| 653 | |a Python. | ||
| 653 | |a Seaborn. | ||
| 653 | |a data mining. | ||
| 776 | 0 | |c EPUB |z 9781683928249 | |
| 776 | 0 | |c print |z 9781683928263 | |
| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9781683928256 |
| 856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9781683928256/original |
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