- Mastering Python for Data Science
- Samir Madhavan
- 103字
- 2021-07-16 20:14:18
Summary
In this chapter, we got familiarized with the NumPy and pandas packages. We understood the different datatypes in pandas and how to utilize them. We learned how to perform data cleansing and manipulation, in which we handled missing values and performed string operations. This chapter gives us a foundation for data science and you can dive deeper into NumPy and pandas by clicking on the following links:
- NumPy documentation: http://docs.scipy.org/doc/
- pandas documentation: http://pandas.pydata.org/
In the next chapter, we'll learn about the meaning of inferential statistics and what they do, and also how to make sense of the different concepts in inferential statistics.
推薦閱讀
- 零基礎(chǔ)搭建量化投資系統(tǒng):以Python為工具
- C# Programming Cookbook
- Web開(kāi)發(fā)的貴族:ASP.NET 3.5+SQL Server 2008
- 碼上行動(dòng):零基礎(chǔ)學(xué)會(huì)Python編程(ChatGPT版)
- C/C++常用算法手冊(cè)(第3版)
- HTML5游戲開(kāi)發(fā)案例教程
- Serverless架構(gòu)
- Python:Master the Art of Design Patterns
- Test-Driven Machine Learning
- Learning YARN
- 軟件項(xiàng)目管理實(shí)用教程
- Java 9:Building Robust Modular Applications
- Building Web and Mobile ArcGIS Server Applications with JavaScript(Second Edition)
- Android從入門(mén)到精通
- Practical Time Series Analysis