| 書(shū)目名稱 | Python for SAS Users |
| 副標(biāo)題 | A SAS-Oriented Intro |
| 編輯 | Randy Betancourt,Sarah Chen |
| 視頻video | http://file.papertrans.cn/765/764251/764251.mp4 |
| 概述 | Provides working code examples and detailed explanations.Helps SAS users easily upgrade and expand their existing skills.Uses real-world examples and common problems faced with data management and ana |
| 圖書(shū)封面 |  |
| 描述 | .Business users familiar with Base SAS programming can now learn Python by example. You will learn via examples that map SAS programming constructs and coding patterns into their Python equivalents. Your primary focus will be on pandas and data management issues related to analysis of data...It is estimated that there are three million or more SAS users worldwide today. As the data science landscape shifts from using SAS to open source software such as Python, many users will feel the need to update their skills. Most users are not formally trained in computer science and have likely acquired their skills programming SAS as part of their job..As a result, the current documentation and plethora of books and websites for learning Python are technical and not geared for most SAS users.?.Python for SAS Users. provides the most comprehensive set of examples currently available. It contains over 200 Python scripts and approximately 75 SAS programs that are analogs to the Python scripts. The first chapters are more Python-centric, while the remaining chapters illustrate SAS and corresponding Python examples to solve common data analysis tasks such as reading multiple input sources, missin |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Python; SAS; Data Science; Data Science Python; Data Science SAS; Python for SAS Users; Python for Data Sc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4842-5001-3 |
| isbn_softcover | 978-1-4842-5000-6 |
| isbn_ebook | 978-1-4842-5001-3 |
| copyright | Randy Betancourt, Sarah Chen 2019 |
|Archiver|手機(jī)版|小黑屋|
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