000 02592nam a22003977a 4500
999 _c128537
_d128537
003 phtghnu
005 20231006090823.0
007 ta
008 210817s2022 nju b 001 0 eng c
010 _a 2021040056
020 _a9781119573319
_q(paperback)
040 _beng
_erda
_cHNU
042 _apcc
050 0 0 _aQA76.73.P98
_bM379 2022
082 0 0 _a005.133 M39
_223
_3GC
_b2022
100 1 _aMastrodomenico, Rob,
_eauthor.
245 1 4 _aThe Python book /
_cRob Mastrodomenico.
263 _a2111
264 1 _aHoboken, New Jersey, USA :
_bJohn Wiley and Sons Ltd.,
_c2022.
300 _avi, 261 pages ;
_c25 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 _a1 Introduction 5 2 Equality and Comparison 15 3 Data Types 19 4 Dates 27 5 Lists 33 6 Tuples 45 7 Dictionaries 49 8 Loops, if, else and while 55 9 Assigning variables 71 10 Strings 77 11 Dealing with files 89 12 Functions and Classes 97 13 Numpy 117 14 Pandas 123 15 Advanced Pandas methods 151 16 Plotting 219
520 _a"The Python Book looks to meet the needs of those who work with data but do not have experience of using Python. The aim of this book is to be able to teach somebody with no programming experience how to program in Python and be able to apply their skills to data analysis tasks. With Python being such a general purpose language, it is easy for any introductory text to concentrate on areas that are not useful to individuals who are really interested in data analysis. This book will be much more focused on what is important and why. This book looks to build the readers skills up at a slower pace with the focus on understanding why you do things the way you do. The aim at the end is not just for the reader to be able to do data analysis in Python but to understand why you would use a certain approach."--
_cProvided by publisher.
521 _aCOECS
_bBachelor of Science in Computer Engineering
521 _aCOECS
_bBachelor of Science in Information Technology
546 _aText in English
650 0 _aPython (Computer program language)
776 0 8 _iOnline version:
_aMastrodomenico, Rob.
_tPython book
_dHoboken, NJ : Wiley, 2022
_z9781119573395
_w(DLC) 2021040057
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cBK
_h000-099