Data Wrangling with Python: Tips and Tools to Make Your Life Easier (Paperback)

Jacqueline Kazil, Katharine Jarmul

買這商品的人也買了...

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從Excel提升到更高的水平?通過學習足夠的Python來完成工作。這本實踐指南將向像您這樣的非程式員展示如何處理一開始難以獲取或混亂的信息。您無需了解Python編程語言的任何知識即可開始。

通過各種逐步練習,您將學習如何高效地獲取、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,以及使用所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
- 處理機器可讀和人類可讀的數據
- 爬取網站和API以獲取豐富的有用信息
- 清理和格式化數據,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庫和技術探索和分析數據集
- 使用Python解決方案自動化整個數據整理過程