Python and R for the modern data scientist : the Best of both worlds (Record no. 76289)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02549nam a22001697a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789391043681 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Item number | SCA/P |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Scavetta, Rick J. |
| 245 ## - TITLE STATEMENT | |
| Title | Python and R for the modern data scientist : the Best of both worlds |
| Remainder of title | the best of both worlds |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Mumbai: |
| Name of publisher | Shroof Publishers and Distributors, |
| Year of publication | c2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvi, 180 p. |
| 500 ## - GENERAL NOTE | |
| General note | Book description<br/><br/>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.<br/><br/>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.<br/><br/> Learn Python and R from the perspective of your current language<br/> Understand the strengths and weaknesses of each language<br/> Identify use cases where one language is better suited than the other<br/> Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows<br/> Learn how to integrate R and Python in a single workflow<br/> Follow a case study that demonstrates ways to use these languages together |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. -- |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data mining. Python (Computer program language) R (Computer program language) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Angelov, Boyan |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | BK |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
| Damaged status | Collection code | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Stack | Kannur University Central Library | Kannur University Central Library | Stack | 10/07/2024 | 800.00 | 006.312 SCA/P | 68221 | BK |