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Summary Data Manipulation with Python_Pandas

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Explain Pandas and its features List different data structures of Pandas Outline the process to create series and DataFrame with data inputs Explain how to view, select, and access elements in a data structure Describe the procedure to handle vectorized operations Illustrate how to handle missing values Analyze data with different data operation methods

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Data Science With Python
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Data Science with Python

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Data Scienc

,Scientific Com

, Learning Objectives

By the end of this lesson, you will be able to:


Explain the importance of SciPy



List the characteristics of SciPy



Explain sub-packages of SciPy



Discuss SciPy sub-packages, such as optimization,
integration, linear algebra, statistics, weave, and IO

, SciPy and Its Characteristics
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Data Science with Python
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Uploaded on
February 23, 2023
Number of pages
48
Written in
2022/2023
Type
SUMMARY

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  • data manipulation with python pandas
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