Foundations for Analytics with Python: From Non-Programmer to Hacker (Paperback)

Clinton W. Brownley

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商品描述

Many of Excel's 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale data processing and analysis of different data formats with Python, using business-relevant examples with complete, easy-to-read code.

Beginning with the basics of Python, author Clinton Brownley shows you how to deal with Excel, CSV, and text files in Python, leading up to scheduling scripts to automatically gather and process information without human intervention. More practical than many other introductions to Python, this book gives you skills you can immediately apply in your job.

  • Automate and scale data processing with only a knowledge of Excel
  • Get an excellent, practical introduction to scripting languages in general
  • Learn techniques through real-world business examples, including three in-depth projects

商品描述(中文翻譯)

Excel的7.5億用戶中,許多人希望能夠更多地利用他們的數據,例如在數百個文件中重複進行相似的分析,或者將多個文件中的數據結合起來進行一次性分析。這本實用指南向有抱負的非程式設計師展示了如何使用Python自動化和擴展不同數據格式的數據處理和分析,並提供了具有完整易讀代碼的與業務相關的示例。

從Python的基礎開始,作者Clinton Brownley向您展示如何在Python中處理Excel、CSV和文本文件,並安排腳本以在沒有人為干預的情況下自動收集和處理信息。相比其他許多Python入門書籍,這本書提供了您可以立即應用於工作中的技能。

本書具有以下特點:
- 只需對Excel有基本了解,即可自動化和擴展數據處理。
- 獲得對腳本語言的優秀實用介紹。
- 通過真實的業務示例學習技巧,包括三個深入項目。