Envío gratis a partir de 69,99 euros.

«Comprobar estado del pedido»

Entre a formar parte de una comunidad de amantes de los libros del mundo entero y acceda a un sinfín de ventajas. Crear una cuenta gratis

Envío gratuito con Zásilkovna para compras superiores a 59.99 €

Mensajería SEUR 4.99 € Mensajería GLS 7.99 € Mensajería Correos 5.49 € Mensajería DHL 5.49 € Punto SEUR 3.99 €

Contacto

Cómo comprar

Ayuda

Mi cuenta

▸ Vacío :-(

Envío gratis a partir de 69,99 euros.

Python Tools For Scientists

Name: Python Tools For Scientists
Brand: No Starch Press,US
SKU: 39023903
Price: 39.09 EUR
Availability: InStock
Author: Vaughan
ISBN: 9781718502666

An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries

Vaughan

Lee

Idioma

Inglés

Libro Tapa blanda

Código Libristo: 39023903

Editores No Starch Press,US, enero 2023

An introduction to the Python programming language and its most popular tools for scientists, engine... Descripción completa

Código Libristo: 39023903

96 b

39.09 €

Almacenamiento externo Envío en 3-6 días

Hasta 30 días para devoluciones

Clientes que también han comprado

Learning Scientific Programming with Python Christian Hill

Tapa blanda

58.09 €

Python Crash Course, 3rd Edition Eric Matthes

Tapa blanda

39.09 €

Python for Probability, Statistics, and Machine Learning José Unpingco

Tapa blanda

71.99 €

Learn To Code By Solving Problems Daniel Zingaro

Tapa blanda

28.19 €

How Linux Works, 3rd Edition Brian Ward

Tapa blanda

39.09 €

Object-oriented Python Irv Kalb

Tapa blanda

39.09 €

Essential Calculus Skills Practice Workbook with Full Solutions Chris McMullen

Tapa blanda

13.59 €

An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration.Python Tools for Scientists introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You ll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualizations, simulating natural events, and more. In the book s applied projects, you ll use these tools to write programs that perform tasks like simulating globular star clusters, building ships for a wargame simulator, creating an interactive science slideshow, and classifying animal species.