Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / Wes McKinney.
Material type:
TextOriginal language: English Series: DataCalifornia, EUA : O'Reilly, ©2022Edition: Third editionDescription: xvi, 561 páginas ; 24 cmContent type: - texto
- sin medio
- volumen
- QA 76.73 .P98 M355 2022
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
| Préstamo | Biblioteca Pedro Arrupe | Acervo | QA 76.73.P98 M355 2022 (Browse shelf(Opens below)) | Ej. 1 | Available | 165079 |
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| QA 76.73 P98 C33 2019 Big Data con Python : recoleccion almacenamiento y proceso / | QA 76.73.P98 G476 2023 Aprende machine learning con scikit-learn, keras y tensorflow : conceptos, herramientas y técnicas para conseguir sistemas inteligentes / | QA 76.73 P98 G755 2018 Flask web development / | QA 76.73.P98 M355 2022 Python for data analysis : data wrangling with pandas, NumPy, and Jupyter / | QA 76 .73 P98 M3818 2021 Curso intensivo de python : introducción práctica a la programación basada en proyectos / | QA 76 .73 P98 R34 2021 A Python Data Analyst's Toolkit : Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics / | QA 76 .73 P98 W55 2019 Ciencia de datos Python : una guía definitiva para que los principiantes aprendan los fundamentos de la ciencia de datos con Python / |
Incluye índice.
Python language basics IPython, and Jupyter notebooks. -- Built-in data structures, functions, and files. -- NumPy basics: arrays and vectorized computation. -- Getting started with pandas. -- Data loading, storage, and file formats. -- Data cleaing and preparation. -- Data wrangling: join, combine, reshape. -- Plotting and visualization. -- Data aggregation and group operations. -- Time series. -- Introduction to modeling libraries in Python. -- Data analysis examples. -- Advanced NumPy. -- More on the IPython system.
Bibliografía básica, compra. 21-04-2026.
Texto en idioma Inglés.
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