Python Data Science Handbook : Essential Tools for Working with Data /
Contenido: 1) IPython: más allá de Python normal; 2) Introducción a NumPy; 3) Manipulación de datos con Pandas; 4) Visualización con Matplotlib; 5) Aprendizaje automático; Apéndice: Código de figura.
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre |
| Langue: | anglais |
| Publié: |
Sebastopol, EUA :
O'Reilly,
2017, c2017
|
| Sujets: | |
| Accès en ligne: | Ver documento en línea |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires: Python Data Science Handbook :
- Python Data Science Handbook : Essential Tools for Working with Data /
- Python Data Science Cookbook /
- Python Data Science Essentials : Become an Efficient Data Science Practitioner by Thoroughly Understanding the Key Concepts of Python /
- Big Data Analytics with Spark : A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing /
- Visual Quickstart Guide : XML /
- Fast Data Processing with Spark : High-speed Distributed Computing Made Easy with Spark /