- The Data Wrangling Workshop
- Brian Lipp Shubhadeep Roychowdhury Dr. Tirthajyoti Sarkar
- 104字
- 2021-06-18 18:11:47
1. Introduction to Data Wrangling with Python
Overview
This chapter will help you understand the importance of data wrangling in data science. You will gain practical knowledge of how to manipulate the data structures that are available in Python by comparing the different implementations of the built-in Python data structures. Overall, this chapter describes the importance of data wrangling, identifies the important tasks to be performed in data wrangling, and introduces basic Python data structures. By the end of this chapter, you will be adept at working with lists, sets, and dictionaries, which are the key building blocks of data structures in Python.
推薦閱讀
- 零基礎學Visual C++第3版
- R語言數據分析從入門到精通
- The Android Game Developer's Handbook
- 深度學習經典案例解析:基于MATLAB
- PHP 7底層設計與源碼實現
- Java程序員面試算法寶典
- Yii Project Blueprints
- 持續輕量級Java EE開發:編寫可測試的代碼
- SSM開發實戰教程(Spring+Spring MVC+MyBatis)
- Android開發三劍客:UML、模式與測試
- Access 2010數據庫應用技術實驗指導與習題選解(第2版)
- ActionScript 3.0從入門到精通(視頻實戰版)
- CodeIgniter Web Application Blueprints
- 零基礎看圖學ScratchJr:少兒趣味編程(全彩大字版)
- Go語言入門經典