Isbn: 9780134546933 - pandas for everyone: python data analysis: python data analysis (addison-wesley data & analytics series) (9 Ergebnisse)

Zustand: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Zustand: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.

Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. : Este libro es una introducción práctica y completa al análisis de datos con Python utilizando la biblioteca Pandas. Daniel Y. Chen presenta los conceptos clave a través de ejemplos sencillos pero prácticos, construyendo sobre ellos para resolver problemas del mundo real. Aprenderás a limpiar, estructurar y visualizar datos, así como a construir modelos para predicción, clustering e inferencia. También se ofrecen consejos sobre rendimiento y escalabilidad, y se introduce el ecosistema más amplio de análisis de datos de Python. EAN: 9780134546933 Tipo: Libros Categoría: Tecnología|Ciencias Título: Pandas for Everyone: Python Data Analysis Autor: Daniel Y. Chen Editorial: Addison-Wesley Professional Idioma: en Páginas: 416 Formato: tapa blanda.…

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Zustand: Brand New. 400 pages. 9.25x7.00x1.00 inches. In Stock.

Zustand: New. This tutorial teaches students everything they need to get started with Python programming for the fast-growing field of data analysis. Daniel Chen tightly links each new concept with easy-to-apply, relevant examples from modern data analysis.