000 02385nam a22003497a 4500
005 20240221223857.0
008 220929b ||||| |||| 00| 0 eng d
020 _a9781774693377 (e-book)
040 _aCvSU-CCAT Campus Library.
_bEnglish.
_cCvSU-CCAT Campus Library.
_erda.
050 _aEBOP QA 76.73.P98
_bP73 2022
245 _aPractical Python programming for data scientists /
_cA. Suresh [and three others].
250 _aSecond edition.
260 _aOntario, Canada :
_bArcler Press,
_cc2022.
300 _axxi, 320 pages :
_bcolor illustrations.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_acomputer
338 _2rdacarrier
_aonline resource
500 _3To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
504 _aIncludes bibliographical references and index.
505 _aChapter 1 : The distinctions of Python language Chapter 2 : Demystifying the data science paradigm Chapter 3 : Python for data analysis Chapter 4 : Python for programming : an introduction Chapter 5 : Functions Chapter 6 : Control structures Chapter 7 : Strings Chapter 8 : Lists
520 _aData science plays a very vital role in shaping up the process of transitioning data into information and into knowledge. As business enterprises, organizations, governments, IT companies, and service providers are keenly becoming data-driven, the role and responsibility of data scientists are bound to go up significantly. Python is emerging as the leading programming language for data science projects. The aim of the book is to clearly explain how Python simplifies and speeds up the realization of next-generation data science applications.
541 _eEBOP00091
_n1
546 _3In English text.
650 _aPython (Computer program language).
_9302
650 _aProgramming languages
_x(Electronic computers).
_97092
650 _aComputer programming.
_9512
700 _aMalarvizhi, N., author.
_97093
700 _aRaj, Pethuru, author.
_97094
700 _aNeeba, E. A., author.
_97095
856 4 0 _3Electronic Resources
_fBibliotex.
_zhttps://www.bibliotex.com/product/practical-python-programming-for-data-scientists
942 _2lcc
_cEB
_eSecond edition
_hQA 76.73.P98 P73 2022
_kEBOP
999 _c2106
_d2106