---
title: "O'Reilly Media Python for Data Analysis 3e (4, 2022) | Wes McKinney"
ean: "9781098104030"
brand: "O'Reilly Media"
category: "Medier > Bøger"
price_min: 539
price_max: 635
currency: DKK
vendor_count: 2
in_stock: true
url: https://pricetracker.dk/p/9781098104030/python-for-data-analysis-3e-4-2022-wes-mckinney
last_checked: 2026-10-14
---

# O'Reilly Media Python for Data Analysis 3e (4, 2022) | Wes McKinney

EAN 9781098104030 · Mærke: O'Reilly Media · Kategori: Medier > Bøger

Sammenlign priser på O'Reilly Media Python for Data Analysis 3e (4, 2022) | Wes McKinney fra 2 forhandlere. Billigste pris nu: 539 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781098104030/python-for-data-analysis-3e-4-2022-wes-mckinney

## Priser
- **Billigste pris nu:** 539 kr hos Saxo DK
- **Prisspænd:** 539 kr – 635 kr på tværs af 2 forhandlere

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 539 kr | — |
| Plusbog | 635 kr | 6 - 8 hverdage |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

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Priserne er sidst kontrolleret 2026-10-14.