Cargando…
Mastering pandas : master the features and capabilities of pandas, a data analysis toolkit for Python /
This book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | EBSCO_ocn913880042 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 150716s2015 enka o 001 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d IDEBK |d EBLCP |d DEBSZ |d YDXCP |d COO |d DEBBG |d N$T |d OCLCF |d OCLCQ |d MERUC |d CEF |d NLE |d UKMGB |d OCLCQ |d OCLCO |d WYU |d UAB |d AU@ |d UKAHL |d OCLCQ |d VLY |d AJS |d OCLCQ |d OCLCO |d OCLCQ |d QGK |d OCLCO | ||
| 016 | 7 | |a 018006900 |2 Uk | |
| 019 | |a 911844258 |a 914074488 |a 1259235379 | ||
| 020 | |a 9781783981977 |q (electronic bk.) | ||
| 020 | |a 1783981970 |q (electronic bk.) | ||
| 020 | |z 1783981970 | ||
| 020 | |z 1783981962 | ||
| 020 | |z 9781783981960 | ||
| 029 | 1 | |a DEBBG |b BV043019789 | |
| 029 | 1 | |a DEBBG |b BV043620930 | |
| 029 | 1 | |a DEBSZ |b 442841272 | |
| 029 | 1 | |a DEBSZ |b 455693609 | |
| 029 | 1 | |a GBVCP |b 882845640 | |
| 029 | 1 | |a UKMGB |b 018006900 | |
| 035 | |a (OCoLC)913880042 |z (OCoLC)911844258 |z (OCoLC)914074488 |z (OCoLC)1259235379 | ||
| 037 | |a CL0500000614 |b Safari Books Online | ||
| 050 | 4 | |a QA76.73.P98 | |
| 072 | 7 | |a COM |x 051310 |2 bisacsh | |
| 072 | 7 | |a COM |x 051280 |2 bisacsh | |
| 072 | 7 | |a COM |x 051130 |2 bisacsh | |
| 082 | 0 | 4 | |a 005.133 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Anthony, Femi, |e author. | |
| 245 | 1 | 0 | |a Mastering pandas : |b master the features and capabilities of pandas, a data analysis toolkit for Python / |c Femi Anthony. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 490 | 1 | |a Community experience distilled | |
| 588 | 0 | |a Online resource; title from cover (Safari, viewed July 6, 2015). | |
| 500 | |a Includes index. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to pandas and Data Analysis; Motivation for data analysis; We live in a big data world; 4 V's of big data; Volume of big data; Velocity of big data; Variety of big data; Veracity of big data; So much data, so little time for analysis; The move towards real-time analytics; How Python and pandas fit into the data analytics mix; What is pandas; Benefits of using pandas; Summary; Chapter 2: Installation of pandas and Supporting Software | |
| 505 | 8 | |a Selecting a version of Python to usePython installation; Linux; Installing Python from compressed tarball; Windows; Core Python installation; Third-party Python software install; Mac OS/X; Installation using a package manager; Installation of Python and pandas from a third-party vendor; Continuum Analytics Anaconda; Installing Anaconda; Linux; Mac OS/X; Windows; Final step for all platforms; Other numeric or analytics-focused Python distributions; Downloading and installing pandas; Linux; Ubuntu/Debian; Red Hat; Ubuntu/Debian; Fedora; OpenSuse; Mac; Source installation; Binary installation | |
| 505 | 8 | |a WindowsBinary Installation; Source installation; IPython; IPython Notebook; IPython installation; Linux; Windows; Mac OS/X; Install via Anaconda (for Linux/Mac OS/X); Wakari by Continuum Analytics; Virtualenv; Virtualenv installation and usage; Summary; Chapter 3: The pandas Data Structures; NumPy ndarrays; NumPy array creation; NumPy arrays via numpy.array; NumPy array via numpy.arange; NumPy array via numpy.linspace; NumPy array via various other functions; NumPy datatypes; NumPy indexing and slicing; Array slicing; Array masking; Complex indexing; Copies and views; Operations | |
| 505 | 8 | |a Basic operationsReduction operations; Statistical operators; Logical operators; Broadcasting; Array shape manipulation; Flattening a multi-dimensional array; Reshaping; Resizing; Adding a dimension; Array sorting; Data structures in pandas; Series; Series creation; Operations on Series; DataFrame; DataFrame Creation; Operations; Panel; Using 3D NumPy array with axis labels; Using a Python dictionary of DataFrame objects; Using the DataFrame.to_panel method; Other operations; Summary; Chapter 4: Operations in Pandas, Part I -- Indexing and Selecting; Basic indexing | |
| 505 | 8 | |a Accessing attributes using dot operatorRange slicing; Label, integer, and mixed indexing; Label-oriented indexing; Selection using a Boolean array; Integer-oriented indexing; The .iat and .at operators; Mixed indexing with the .ix operator; Multi-indexing; Swapping and re-ordering levels; Cross-sections; Boolean indexing; The is in and any all methods; Using the where() method; Operations on indexes; Summary; Chapter 5: Operations in pandas, Part II -- Grouping, Merging, and Reshaping of Data; Grouping of data; The groupby operation; Using groupby with a MultiIndex; Using the aggregate method | |
| 520 | |a This book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth. | ||
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Data structures (Computer science) | |
| 650 | 0 | |a Statistics |x Computer programs. | |
| 650 | 0 | |a Quantitative research. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Structures de données (Informatique) | |
| 650 | 6 | |a Statistique |x Logiciels. | |
| 650 | 6 | |a Recherche quantitative. | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x C# |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x Java. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x Pascal. |2 bisacsh | |
| 650 | 7 | |a Data structures (Computer science) |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 650 | 7 | |a Quantitative research |2 fast | |
| 650 | 7 | |a Statistics |x Computer programs |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Anthony, Femi. |t Mastering pandas : master the features and capabilities of pandas, a data analysis toolkit for Python. |d Birmingham, England : Packt Publishing, ©2015 |h xiv, 337 pages |k Community experience distilled. |z 9781783981960 |
| 830 | 0 | |a Community experience distilled. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1017584 |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH28765842 | ||
| 938 | |a EBSCOhost |b EBSC |n 1017584 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis31861812 | ||
| 938 | |a YBP Library Services |b YANK |n 12498753 | ||
| 994 | |a 92 |b IZTAP | ||