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A mind map visualizing Python software that can be used for data analysis can be found in first chapter of this book. The first noticeable thing is that the Python ecosystem is very mature, perse and rich. It includes famous packages such as NumPy, SciPy, and matplotlib. This should not c...
View PDF View chapter About the book Description Practical Machine Learning for Data Analysis Using Pythonis a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches reade...
The shape of an array can be modified in multiple ways, such as stacking, resizing, reshaping, and splitting. A large number of convenience functions for shape manipulation were presented in this chapter. Having picked up the fundamentals, it's time to proceed to data analysis with the commonl...
Part 2: Builds a predictive model based on the ARIMA algorithms using the statsmodels Python library Time series analysis is such an important field of data science that I consider to be underrated. I personally learned a lot while writing this chapter. I certainly hope that the reader will en...
FinancialDataAnalysis Using Python Author:by Dmytro Zherlitsyn (Author) Publisher finelybook 出版社:MercuryLearningand Information Edition 版本:N/A Publication Date 出版日期:2024-12-19 Language 语言:English Print Length 页数:480pages ...
One nuance of using Jupyter notebooks is that plots are reset after each cell is evaluated, so you must put all of the plotting commands in a single notebook cell. Here we run all of these commands in the same cell: fig=plt.figure()ax1=fig.add_subplot(2,2,1)ax2=fig.add_subplot(...
Python for Data Analysis的创作者· ··· Wes McKinney作者 作者简介· ··· Wes McKinney 资深数据分析专家,对各种Python库(包括NumPy、pandas、matplotlib以及IPython等)等都有深入研究,并在大量的实践中积累了丰富的经验。撰写了大量与Python数据分析相关的经典文章,被各大技术社区争相转载,是Python和开源技术社...
Summary In this chapter, we installed NumPy, SciPy, matplotlib, and IPython that we will be using in tutorials. We got a vector addition program working and convinced ourselves that NumPy … - Selection from Python Data Analysis [Book]
Chapter 1. Gaining Early Insights from Textual Data One of the first tasks in every data analytics and machine learning project is to become familiar with the data. In fact, … - Selection from Blueprints for Text Analytics Using Python [Book]