Cargando…

Hands-On Data Analysis with NumPy and Pandas : Implement Python Packages from Data Manipulation to Processing /

Chapter 3: Operations on NumPy Arrays; Selecting elements explicitly; Slicing arrays with colons; Advanced indexing; Expanding arrays; Arithmetic and linear algebra with arrays; Arithmetic with two equal-shaped arrays; Broadcasting; Linear algebra; Employing array methods and functions; Array method...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Miller, Curtis
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2018.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 EBOOKCENTRAL_on1045027642
003 OCoLC
005 20240329122006.0
006 m o d
007 cr cnu---unuuu
008 180714s2018 enk o 000 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d YDX  |d MERUC  |d NLE  |d TEFOD  |d OCLCF  |d OCLCQ  |d OCLCO  |d TEFOD  |d C6I  |d UKAHL  |d OCLCQ  |d N$T  |d UX1  |d K6U  |d OCLCQ  |d OCLCO  |d NZAUC  |d OCLCQ  |d OCLCO 
019 |a 1044979557  |a 1045485954  |a 1046187583  |a 1046643608  |a 1049584803  |a 1175628732 
020 |a 9781789534245  |q (electronic bk.) 
020 |a 1789534240  |q (electronic bk.) 
020 |a 1789530792 
020 |a 9781789530797 
020 |z 1789530792 
020 |z 9781789530797 
024 3 |a 9781789530797 
029 1 |a AU@  |b 000066230940 
035 |a (OCoLC)1045027642  |z (OCoLC)1044979557  |z (OCoLC)1045485954  |z (OCoLC)1046187583  |z (OCoLC)1046643608  |z (OCoLC)1049584803  |z (OCoLC)1175628732 
037 |a F373C654-A954-413E-A23C-B0BF09966862  |b OverDrive, Inc.  |n http://www.overdrive.com 
050 4 |a QA76.73.P98 
082 0 4 |a 005.133  |2 23 
049 |a UAMI 
100 1 |a Miller, Curtis. 
245 1 0 |a Hands-On Data Analysis with NumPy and Pandas :  |b Implement Python Packages from Data Manipulation to Processing /  |c by Curtis Miller. 
260 |a Birmingham :  |b Packt Publishing Ltd,  |c 2018. 
300 |a 1 online resource (166 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
505 0 |a Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Setting Up a Python Data Analysis Environment; What is Anaconda?; Installing Anaconda; Exploring Jupyter Notebooks; Exploring alternatives to Jupyter; Spyder; Rodeo; ptpython; Package management with Conda; What is Conda?; Conda environment management; Managing Python; Package management; Setting up a database; Installing MySQL; MySQL connectors; Creating a database; Summary; Chapter 2: Diving into NumPY; NumPy arrays; Special numeric values; Creating NumPy arrays; Creating ndarray. 
520 |a Chapter 3: Operations on NumPy Arrays; Selecting elements explicitly; Slicing arrays with colons; Advanced indexing; Expanding arrays; Arithmetic and linear algebra with arrays; Arithmetic with two equal-shaped arrays; Broadcasting; Linear algebra; Employing array methods and functions; Array methods; Vectorization with ufuncs; Custom ufuncs; Summary; Chapter 4: pandas are Fun! What is pandas?; What does pandas do?; Exploring series and DataFrame objects; Creating series; Creating DataFrames; Adding data; Saving DataFrames; Subsetting your data; Subsetting a series; Indexing methods. 
505 8 |a Slicing a DataFrameSummary; Chapter 5: Arithmetic, Function Application, and Mapping with pandas; Arithmetic; Arithmetic with DataFrames; Vectorization with DataFrames; DataFrame function application; Handling missing data in a pandas DataFrame; Deleting missing information; Filling missing information; Summary; Chapter 6: Managing, Indexing, and Plotting; Index sorting; Sorting by values; Hierarchical indexing; Slicing a series with a hierarchical index; Plotting with pandas; Plotting methods; Summary; Other Books You May Enjoy; Index. 
520 |a In this book, you will explore two important Python packages used by Data Analysts, NumPy & pandas. You will dive into different concepts such as reading, sorting, grouping of data, and also learn how to work with different data formats for your data analysis projects. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Python (Computer program language) 
650 0 |a Numerical analysis  |x Data processing. 
650 0 |a Information visualization. 
650 6 |a Python (Langage de programmation) 
650 6 |a Analyse numérique  |x Informatique. 
650 6 |a Visualisation de l'information. 
650 7 |a Data capture & analysis.  |2 bicssc 
650 7 |a Database design & theory.  |2 bicssc 
650 7 |a Information architecture.  |2 bicssc 
650 7 |a Information visualization.  |2 bicssc 
650 7 |a Computers  |x Data Modeling & Design.  |2 bisacsh 
650 7 |a Computers  |x Data Processing.  |2 bisacsh 
650 7 |a Information visualization  |2 fast 
650 7 |a Numerical analysis  |x Data processing  |2 fast 
650 7 |a Python (Computer program language)  |2 fast 
776 0 8 |i Print version:  |a Miller, Curtis.  |t Hands-On Data Analysis with NumPy and Pandas : Implement Python Packages from Data Manipulation to Processing.  |d Birmingham : Packt Publishing Ltd, ©2018  |z 9781789530797 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5446042  |z Texto completo 
938 |a Askews and Holts Library Services  |b ASKH  |n AH34796369 
938 |a EBL - Ebook Library  |b EBLB  |n EBL5446042 
938 |a EBSCOhost  |b EBSC  |n 1841870 
938 |a YBP Library Services  |b YANK  |n 15592937 
994 |a 92  |b IZTAP