- Big Data Analysis with Python
- Ivan Marin Ankit Shukla Sarang VK
- 102字
- 2021-06-11 13:46:37
Chapter 1
The Python Data Science Stack
Learning Objectives
We will start our journey by understanding the power of Python to manipulate and visualize data, creating useful analysis.
By the end of this chapter, you will be able to:
- Use all components of the Python data science stack
- Manipulate data using pandas DataFrames
- Create simple plots using pandas and Matplotlib
In this chapter, we will learn how to use NumPy, Pandas, Matplotlib, IPython, Jupyter notebook. Later in the chapter, we will explore how the deployment of virtualenv, pyenv, works, soon after that we will plot basic visualization using Matplotlib and Seaborn libraries.
推薦閱讀
- Instant Raspberry Pi Gaming
- PPT,要你好看
- 計算機(jī)應(yīng)用
- Machine Learning for Cybersecurity Cookbook
- 樂高機(jī)器人EV3設(shè)計指南:創(chuàng)造者的搭建邏輯
- Cloud Analytics with Microsoft Azure
- Mastering Elastic Stack
- Mastering Machine Learning Algorithms
- Windows內(nèi)核原理與實(shí)現(xiàn)
- C語言開發(fā)技術(shù)詳解
- 大數(shù)據(jù)驅(qū)動的機(jī)械裝備智能運(yùn)維理論及應(yīng)用
- OpenStack Cloud Computing Cookbook
- 單片機(jī)C語言程序設(shè)計完全自學(xué)手冊
- 悟透AutoCAD 2009案例自學(xué)手冊
- 深度學(xué)習(xí)與目標(biāo)檢測