02866cam a22004935i 4500 21769316 OSt 20220428141457.0 m |o d | cr ||||||||||| 181219s2018 xxu|||| o |||| 0|eng 2019758735 9781484241134 10.1007/978-1-4842-4113-4 doi (DE-He213)978-1-4842-4113-4 DLC eng pn rda AIMIT LIBRARY COM051360 bisacsh UMX bicssc UMX thema 005.762 1 PORV Porcu, Valentina, 32682 Python for Data Mining Quick Syntax Reference / by Valentina Porcu. 1st ed. South Asian Edition Berkeley, CA : Apress : 2018 Berkeley, CA : Apress : Imprint: Apress, 2018. xv, 260p ; 23.3 cm text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. Getting Started -- 2. Introductory Notions -- 3. Basic Objects and Structures -- 4. Functions -- 5. Conditional Instructions and Writing Functions -- 6. Other Basic Concepts -- 7. Importing Files -- 8. pandas -- 9. SciPy and NumPy -- 10. Matplotlib -- 11. scikit-learn. Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning. Description based on publisher-supplied MARC data. Big data. 32683 Python (Computer program language). 32684 Python. 32685 Big Data. https://scigraph.springernature.com/ontologies/product-market-codes/I29120 32686 Print version: Python for data mining quick syntax reference 9781484241127 (DLC) 2018966554 Printed edition: 9781484241127 Printed edition: 9781484241141 Printed edition: 9781484247426 0 ibc origres u ncip 20 y-gencatlg ddc BK 1st 005.762 PORV 222702 222702 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 799.00 Bill no;6623; Bill dt:2022-03-23 0 005.762 PORV MCA17079 2026-05-23 00:00:00 639.20 2022-04-28 BK