Data Wrangling with Python: Tips and Tools to Make Your Life Easier (Paperback)
暫譯: 使用 Python 進行數據處理:讓你的生活更輕鬆的技巧與工具 (平裝本)
Jacqueline Kazil, Katharine Jarmul
- 出版商: O'Reilly
- 出版日期: 2016-03-15
- 定價: $1,750
- 售價: 9.0 折 $1,575
- 語言: 英文
- 頁數: 508
- 裝訂: Paperback
- ISBN: 1491948817
- ISBN-13: 9781491948811
-
相關分類:
Python、程式語言
-
相關翻譯:
Python 數據處理 (Data Wrangling with Python) (簡中版)
立即出貨
買這商品的人也買了...
-
$620$490 -
$495$470 -
$780$616 -
$780$616 -
$820$541 -
$680$537 -
$354$336 -
$454JavaEE 開發的顛覆者: Spring Boot實戰
-
$420$332 -
$653信息架構: 超越Web 設計(第4版)
-
$580$458 -
$580$493 -
$580$383 -
$680$530 -
$720$562 -
$590$502 -
$500$425 -
$390$273 -
$331優雅的 Ruby (Confident Ruby)
-
$320$250 -
$780$616 -
$360$284 -
$790$672 -
$450$356 -
$590$460
相關主題
商品描述
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.
Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.
- Quickly learn basic Python syntax, data types, and language concepts
- Work with both machine-readable and human-consumable data
- Scrape websites and APIs to find a bounty of useful information
- Clean and format data to eliminate duplicates and errors in your datasets
- Learn when to standardize data and when to test and script data cleanup
- Explore and analyze your datasets with new Python libraries and techniques
- Use Python solutions to automate your entire data-wrangling process
商品描述(中文翻譯)
如何將您的數據分析技能提升到 Excel 以外的下一個層次?透過學習足夠的 Python 來完成任務。本手冊將向像您這樣的非程式設計師展示如何處理最初過於混亂或難以訪問的信息。您不需要對 Python 程式語言有任何了解即可開始。
通過各種逐步練習,您將學會如何有效地獲取、清理、分析和呈現數據。您還將發現如何自動化數據處理、安排文件編輯和清理任務、處理更大的數據集,以及用您獲得的數據創建引人入勝的故事。
- 快速學習基本的 Python 語法、數據類型和語言概念
- 處理可機器讀取和人類可讀取的數據
- 擷取網站和 API 以尋找大量有用的信息
- 清理和格式化數據,以消除數據集中的重複和錯誤
- 學習何時標準化數據,何時測試和編寫數據清理腳本
- 使用新的 Python 函式庫和技術探索和分析您的數據集
- 使用 Python 解決方案自動化整個數據處理過程