# Competitor
Analysis: KubeSphere vs. Rancher and OpenShift
September 2021
## Table of Contents
Competitor
Analysis: KubeSphere vs. Rancher and OpenShift ..... 1
I. Overview ..... 3
1. Metrics Comparison of SonarQube for static code
analysis supported and
analysis results available on the UI
Manual configurations required to set up SonarQube for static code analysis | Manual configurations configurations required to set up SonarQube for static code analysis | | Application | Application deployment | App Store available to support Helm Chart and application repository configu 0 码力 |
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| 2 年前 3 0 码力 |
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46.93 KB
| 2 年前 3
# pandas: powerful Python data analysis toolkit Release 0.19.0
Wes McKinney & PyData Development Team
Oct 02,2016
## What’s New 3
1.1 v0.19.0 (October 2, 2016) 3
1.1.1 New features 5
merge_asof Internal Guides 375
7.2 pandas Cookbook 375
7.3 Lessons for New pandas Users 376
7.4 Practical data analysis with Python 376
7.5 Modern Pandas 376
7.6 Excel charts with pandas, vincent and xlsxwriter 377 for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any 0 码力 |
1937 页 |
12.03 MB
| 2 年前 3
pandas: powerful Python data analysis
toolkit
Release 0.20.3
Wes McKinney & PyData Development Team
Jul 07, 2017
CONTENTS
1
What’s New
3
1.1
v0.20.3 (July 7, 2017)
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424
6.4
Practical data analysis with Python
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424
6.5
Exercises . . . . . . . . . . . . . . . 1995
Python Module Index
1997
xlvi
pandas: powerful Python data analysis toolkit, Release 0.20.3
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Zipped HTML Date: Jul 07, 2017 Version: 0.20.3
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2045 页 |
9.18 MB
| 2 年前 3 # pandas: powerful Python data analysis toolkit Release 0.15.1
Wes McKinney & PyData Development Team
November 08, 2014
Powered by TCPDF (www.tcpdf.org)
## CONTENTS
1 What's New 3
1.1 v0.15 for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any multiple stages: munging and cleaning data, analyzing / modeling it, then organizing the results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these 0 码力 |
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9.10 MB
| 2 年前 3
pandas: powerful Python data analysis
toolkit
Release 0.21.1
Wes McKinney & PyData Development Team
Dec 12, 2017
CONTENTS
1
What’s New
3
1.1
v0.21.1 (December 12, 2017)
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452
6.4
Practical data analysis with Python
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452
6.5
Exercises . . . . 2151
Bibliography
2153
Python Module Index
2155
xlix
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pandas: powerful Python data analysis toolkit, Release 0.21.1
PDF Version
Zipped HTML Date: Dec 12, 2017 Version: 0.21.1
Binary Installers: 0 码力 |
2207 页 |
8.59 MB
| 2 年前 3
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