---
title: "Python Data Science Handbook, 2nd Edition (4, 2022) | Jake VanderPlas"
ean: "9781098121228"
brand: "Jake Vanderplas"
category: "Medier > Bøger"
price_min: 549
price_max: 687
currency: DKK
vendor_count: 2
in_stock: true
url: https://pricetracker.dk/p/9781098121228/python-data-science-handbook-2nd-edition-4-2022-jake-vanderplas
last_checked: 2026-10-14
---

# Python Data Science Handbook, 2nd Edition (4, 2022) | Jake VanderPlas

EAN 9781098121228 · Mærke: Jake Vanderplas · Kategori: Medier > Bøger

Sammenlign priser på Python Data Science Handbook, 2nd Edition (4, 2022) | Jake VanderPlas fra 2 forhandlere. Billigste pris nu: 549 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781098121228/python-data-science-handbook-2nd-edition-4-2022-jake-vanderplas

## Priser
- **Billigste pris nu:** 549 kr hos Saxo DK
- **Prisspænd:** 549 kr – 687 kr på tværs af 2 forhandlere

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 549 kr | — |
| Plusbog | 687 kr | 6 - 8 hverdage |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how: IPython and Jupyter provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms

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Priserne er sidst kontrolleret 2026-10-14.