Cargando…
Data wrangling and analysis with Python /
"Discover the data analysis capabilities of the Python Pandas software library in this introduction to data wrangling and data analytics. Designed for learners with some core knowledge of Python, you'll explore the basics of importing, exporting, parsing, cleaning, analyzing, and visualizi...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Infinite Skills,
2016.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cgm a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | OR_ocn953108306 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
| 007 | cr cna|||||||| | ||
| 007 | vz czazuu | ||
| 008 | 160706s2016 xx 198 o vleng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d OCLCF |d UAB |d ERF |d OCLCO | ||
| 029 | 1 | |a AU@ |b 000067117820 | |
| 035 | |a (OCoLC)953108306 | ||
| 037 | |a CL0500000757 |b Safari Books Online | ||
| 050 | 4 | |a QA76.73.P98 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Jarmul, Katharine, |e speaker. | |
| 245 | 1 | 0 | |a Data wrangling and analysis with Python / |c Katharine Jarmul. |
| 264 | 1 | |a [Place of publication not identified] : |b Infinite Skills, |c 2016. | |
| 300 | |a 1 online resource (1 streaming video file (3 hr., 17 min., 31 sec.)) : |b digital, sound, color | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Title from resource description page (Safari, viewed July 5, 2016). | ||
| 511 | 0 | |a Presenter, Katharine Jarmul. | |
| 520 | |a "Discover the data analysis capabilities of the Python Pandas software library in this introduction to data wrangling and data analytics. Designed for learners with some core knowledge of Python, you'll explore the basics of importing, exporting, parsing, cleaning, analyzing, and visualizing data. The course focuses on Pandas, where you'll learn to filter, group, match, and join data and then move on to advanced functions like analyzing trends and normalizing your data. There is also an introduction to some nifty skills like web scraping, working with API data, fuzzy matching, multiprocessing, and analyzing code performance."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Data mining. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 655 | 4 | |a Electronic videos. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781491960820/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||