## +21 ## Code Analysis++ ## ANASTASIA KAZAKOVA ## 20 21 October 24-29 • Anastasia Kazakova, @anastasiak2512 C++ Dev: Embedded, Networking C++ Tools PMM and .NET Tools Marketing Lead, JetBrains - https://www.meetup.com/St-Petersburg-CPP-User-Group/ C++ Russia: https://cppconf.ru/en/ ## Why Code Analysis? ## Software Quality While preparing for my workshop at #CppOnSea, I want to ask you: reply with *sk = tun->sk; unsigned int mask = 0; if (!tun) return POLLERR; } ## Why code analysis • Improve software quality • Lower developer frustration Avoid UB ## Language ### • Lifetime

# 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 merge_asof for asof-style time-series joining 5 .rolling() is now time-series aware 7 read_csv has improved support for duplicate column names 9 read_csv supports parsing Categorical directly 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

# Lecture Notes on Gaussian Discriminant Analysis, Naive Bayes and EM Algorithm Feng Li fli@sdu.edu.cn Shandong University, China ## 1 Bayes' Theorem and Inference Bayes’ theorem is stated mathematically \theta = \{ P(X = x \mid Y = y), P(Y = y) \}_{x,y} $ . ## 2 Gaussian Discriminant Analysis In Gaussian Discriminate Analysis (GDA) model, we have the following assumptions: • A1: $ Y \sim \text{Bernoulli}(\psi) ilde{y})p(\tilde{y})}{p(\tilde{x})} $$ where $ \tilde{y}=0,1 $ . ## 3 Gaussian Discriminant Analysis and Logistic Regression By far, we introduce two classification algorithms, Logistic Regression

# 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 UIManual configurations required to set up SonarQube for static code analysisManual configurations configurations required to set up SonarQube for static code analysisApplicationApplication deploymentApp Store available to support Helm Chart and application repository configu

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) . . . . . . . . . . . . . . . . . . . . . . . 53 1.6.1.1 merge_asof for asof-style time-series joining . . . . . . . . . . . . . . . . . . . 53 1.6.1.2 .rolling() is now time-series aware . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424 6.4 Practical data analysis with Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424 6.5 Exercises

# 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

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) . . . . . . . . . . . . . . . . . . . . 82 1.8.1.1 merge_asof for asof-style time-series joining . . . . . . . . . . . . . . . . . . . 82 1.8.1.2 .rolling() is now time-series aware . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 6.4 Practical data analysis with Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 6.5 Exercises

pandas: powerful Python data analysis toolkit Release 0.14.0 Wes McKinney & PyData Development Team May 30, 2014 CONTENTS 1 What’s New 3 1.1 v0.14.0 (May 31 , 2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1338 Python Module Index 1341 vi pandas: powerful Python data analysis toolkit, Release 0.14.0 PDF Version Zipped HTML Date: May 30, 2014 Version: 0.14.0 Binary Installers: 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