Learning pandas : : high-performance data manipulation and analysis in Python / / Michael Heydt.

Saved in:
Bibliographic Details
VerfasserIn:
Place / Publishing House:Birmingham, [England] ;, Mumbai, [India] : : Packt,, 2017.
2017
Year of Publication:2017
Edition:Second edition.
Language:English
Online Access:
Physical Description:1 online resource (435 pages) :; illustrations
Notes:Includes index.
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 01797nam a2200421 i 4500
001 5004898666
003 MiAaPQ
005 20200520144314.0
006 m o d |
007 cr cnu||||||||
008 171020t20172017enka o 001 0 eng d
020 |z 9781787123137 
020 |a 9781787120310 (e-book) 
035 |a (MiAaPQ)5004898666 
035 |a (Au-PeEL)EBL4898666 
035 |a (CaPaEBR)ebr11444188 
035 |a (OCoLC)999624326 
040 |a MiAaPQ  |b eng  |e rda  |e pn  |c MiAaPQ  |d MiAaPQ 
050 4 |a QA76.73.P98  |b .H493 2017 
082 0 |a 005.133  |2 23 
100 1 |a Heydt, Michael,  |e author. 
245 1 0 |a Learning pandas :  |b high-performance data manipulation and analysis in Python /  |c Michael Heydt. 
250 |a Second edition. 
264 1 |a Birmingham, [England] ;  |a Mumbai, [India] :  |b Packt,  |c 2017. 
264 4 |c 2017 
300 |a 1 online resource (435 pages) :  |b illustrations 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
500 |a Includes index. 
588 |a Description based on online resource; title from PDF title page (ebrary, viewed October 19, 2017). 
590 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. 
650 0 |a Python (Computer program language) 
650 0 |a Electronic data processing. 
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Heydt, Michael.  |t Learning pandas : high-performance data manipulation and analysis in Python.  |b Second edition.  |d Birmingham, [England] ; Mumbai, [India] : Packt, c2017   |h viii, 418 pages   |z 9781787123137 
797 2 |a ProQuest (Firm) 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4898666  |z Click to View