Python and R for the Modern Data Scientist: The Best of Both Worlds
Scavetta, Rick J., Angelov, Boyan
- 出版商: O'Reilly
- 出版日期: 2021-07-27
- 定價: $2,280
- 售價: 8.0 折 $1,824
- 語言: 英文
- 頁數: 198
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492093408
- ISBN-13: 9781492093404
-
相關分類:
Python、程式語言、R 語言
-
相關翻譯:
Python與R語言數據科學實踐 (簡中版)
立即出貨 (庫存 < 3)
買這商品的人也買了...
-
$450$383 -
$690$587 -
$2,020$1,919 -
$1,980$1,881 -
$1,950$1,853 -
$419$398 -
$1,900$1,805 -
$556圖表示學習
-
$1,250$1,188 -
$880$695 -
$499$394 -
$2,660$2,520 -
$1,870$1,777 -
$301機器學習的算法分析和實踐
-
$580$458 -
$650$507 -
$720$475 -
$600$468
相關主題
商品描述
Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set.
Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist.
- Learn Python and R from the perspective of your current language
- Understand the strengths and weaknesses of each language
- Identify use cases where one language is better suited than the other
- Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows
- Learn how to integrate R and Python in a single workflow
- Follow a case study that demonstrates ways to use these languages together
商品描述(中文翻譯)
在資料科學中取得成功取決於靈活且適當地使用工具,其中包括 Python 和 R,這兩個是該領域的基礎程式語言。本書將引導 Python 和 R 社群的資料科學家成為雙語能手。透過認識這兩種語言的優勢,您將發現完成資料科學任務的新方法,並擴展您的技能組。
作者 Rick Scavetta 和 Boyan Angelov 解釋了這些語言的平行結構,並突出了它們各自的優勢,無論是語言特性還是開源生態系統的能力。您將學習如何在實際環境中結合使用 Python 和 R,並擴大作為雙語資料科學家的就業機會。
本書的內容包括:
- 從您目前使用的語言的角度學習 Python 和 R
- 了解每種語言的優點和缺點
- 確定哪種語言適合於特定的使用情境
- 了解現代開源生態系統,包括套件、框架和工作流程
- 學習如何在單一工作流程中整合 R 和 Python
- 跟隨一個案例研究,展示如何結合使用這兩種語言
以上是本書的內容摘要。
作者簡介
Rick Scavetta has worked as an independent workshop trainer, freelance data scientist and co-founder since 2012. Operating as Scavetta Academy, Rick has a close and recurring presence at primary research institutes across Germany. His online courses at DataCamp have been taken by over 200,000 students since 2016 and he's also contributed to advanced data science courses for O'Reilly and Manning. Rick currently serves as the technical curriculum advisor to the Misk Academy in Saudi Arabia and heads the development of their Data Science programme.
Boyan Angelov is a Senior Data Scientist, Engineering Manager, and Consultant with almost a decade of experience in a variety of academic and industry environments, covering a variety of topics such as bioinformatics, clinical trials, HRTech, and management consulting. He is additionally a contributor to open source scientific projects in the field of xAI, and speaks regularly at conferences and meetups.
作者簡介(中文翻譯)
Rick Scavetta自2012年以來一直擔任獨立工作坊培訓師、自由數據科學家和聯合創始人。作為Scavetta Academy的運營者,Rick在德國的主要研究機構中有密切而持續的存在。自2016年以來,他在DataCamp的在線課程已經被超過20萬名學生參與,他還為O'Reilly和Manning的高級數據科學課程做出了貢獻。Rick目前擔任沙特阿拉伯Misk Academy的技術課程顧問,並負責開發他們的數據科學課程。
Boyan Angelov是一位高級數據科學家、工程經理和顧問,擁有近十年的學術和行業環境經驗,涵蓋了生物信息學、臨床試驗、HRTech和管理咨詢等各種主題。他還是xAI領域開源科學項目的貢獻者,並經常在會議和聚會上演講。