Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, 3/e (Paperback)
McKinney, Wes
- 出版商: O'Reilly
- 出版日期: 2022-09-20
- 定價: $2,800
- 售價: 8.0 折 $2,240
- 語言: 英文
- 頁數: 579
- 裝訂: Quality Paper - also called trade paper
- ISBN: 109810403X
- ISBN-13: 9781098104030
-
相關分類:
Python、程式語言、Data Science
-
相關翻譯:
Python 資料分析, 3/e (Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, 3/e) (繁中版)
立即出貨 (庫存 < 4)
買這商品的人也買了...
-
$1,137Electric Machines (Hardcover) -
Integrated Circuit Design, 4/e (IE-Paperback)$1,580$1,568 -
$2,058Data Structures and Algorithms in Python (Hardcover) -
Docker 編配的奧義 (Orchestrating Docker)$280$140 -
$1,617Deep Learning (Hardcover) -
$1,892Practical Tableau: 100 Tips, Tutorials, and Strategies from a Tableau Zen Master -
Node.js in Action, 2/e (Paperback)$1,650$1,568 -
Python 也可以這樣學$580$290 -
Python：期貨演算法交易實務 121個關鍵技巧詳解$500$390 -
$403Nginx 實戰：基於 Lua 語言的配置、開發與架構詳解 -
$1,715Interaction Design : Beyond Human-Computer Interaction, 5/e (Paperback) -
$1,624Introducing Python: Modern Computing in Simple Packages, 2/e (Paperback) -
$1,848Learning SQL: Generate, Manipulate, and Retrieve Data, 3/e (Paperback) -
$2,240Javascript: The Definitive Guide: Master the World's Most-Used Programming Language, 7/e (Paperback) -
$454精通 Kubernetes (Mastering Kubernetes) -
$1,936Full Stack Serverless: Modern Application Development with React, Aws, and Graphql -
$2,050SQL Cookbook: Query Solutions and Techniques for All SQL Users, 2/e (Paperback) -
$2,376Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (Nlp) Applications (Paperback) -
Graphql in Action (Paperback)$1,840$1,748 -
$1,898Python Distilled (Paperback) -
$2,384Fluent Python: Clear, Concise, and Effective Programming, 2/e (Paperback) -
Python 論文數據統計分析$540$486 -
$2,520Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems, 3/e (Paperback) -
$1,663Java All-in-One For Dummies, 7/e (Paperback) -
$2,520R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, 2/e (Paperback)
相關主題
商品描述
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, 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
