- Mastering Java for Data Science
- Alexey Grigorev
- 85字
- 2021-07-02 23:44:34
Input/Output
Data scientists often work with files and other data sources. I/O is needed for reading from the data sources and writing the results back. The Java I/O API provides two main types of abstraction for this:
- InputStream, OutputStream for binary data
- Reader, Writer for text data
Typical data science applications deal with text rather than raw binary data--the data is often stored in TXT, CSV, JSON, and other similar text formats. This is why we will concentrate on the second part.
推薦閱讀
- 數據浪潮
- Hands-On Machine Learning with Microsoft Excel 2019
- SQL Server 2012數據庫技術與應用(微課版)
- 卷積神經網絡的Python實現
- MySQL基礎教程
- 大數據:規劃、實施、運維
- 軟件成本度量國家標準實施指南:理論、方法與實踐
- 數據驅動設計:A/B測試提升用戶體驗
- 達夢數據庫性能優化
- 大數據架構和算法實現之路:電商系統的技術實戰
- Power BI商業數據分析完全自學教程
- LabVIEW 完全自學手冊
- Augmented Reality using Appcelerator Titanium Starter
- 聯動Oracle:設計思想、架構實現與AWR報告
- 中文版Access 2007實例與操作