Style Guide Background C++ is one of the main development languages used by many of Google’s open- source projects. As every C++ programmer knows, the language has many powerful features, but this power Style is a bit of a misnomer, since these conventions cover far more than just source file formatting. Most open-source projects developed by Google conform to the requirements in this guide. Note that ___H_. To guarantee uniqueness, they should be based on the full path in a project’s source tree. For example, the file foo/src/bar/baz.h in project foo should have the following guard: #ifndef

pylint over your code. Definition: pylint is a tool for finding bugs and style problems in Python source code. It finds problems that are typically caught by a compiler for less dynamic languages like C sharing code from one module to an- other. Pros: The namespace management convention is simple. The source of each identifier is indicated in a consistent way; x.Obj says that object Obj is defined in module sys.argv has not yet been parsed... ... Properties link￿ Use properties for accessing or setting data where you would normally have used simple, lightweight accessor or setter methods. Definition: A

Technology, Austria Institute of Interactive Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Oct 23, 2021 2 706.015 Introduction 01 Introduction and Overview Matthias Boehm, Graz University of Technology, WS 2020/21 Agenda  Data Management Group  Course Organization, Outline, and Projects  Structure of Scientific Papers  Paper Writing – 01 Introduction and Overview Matthias Boehm, Graz University of Technology, WS 2020/21 Data Management Group https://damslab.github.io/ 5 706.015 Introduction to Scientific Writing – 01 Introduction

in a row) is okay if it improves alignment of equals signs or arrows (<-). plot(x = x.coord, y = data.mat[, MakeColName(metric, ptiles[1], "roiOpt")], ylim = ylim, xlab = "dates", ylab = metric, main Author comment 3. File description comment, including purpose of program, inputs, and out- puts 4. source() and library() statements 5. Function definitions 6. Executed statements, if applicable (e.g., print function; a list of the function’s arguments, denoted by Args:, with a description of each (including the data type); and a description of the return value, denoted by Returns:. The comments should be descriptive

document serves as the complete definition of Google’s coding standards for source code in the Java™ Programming Language. A Java source file is described as being in Google Style if and only if it adheres to Optional formatting choices made in examples should not be enforced as rules. 1 2 Source file basics 2.1 File name The source file name consists of the case-sensitive name of the top-level class it contains contains (of which there is exactly one), plus the .java extension. 2.2 File encoding: UTF-8 Source files are encoded in UTF-8. 2.3 Special characters 2.3.1 Whitespace characters Aside from the line terminator

Technology, Austria Institute of Interactive Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 11, 2021 2 706.015 Introduction University of Technology, WS 2021/22 Experiments and Result Presentation In Computer Science (Data Management) [Ioana Manolescu, Stefan Manegold: Performance Evaluation in Database Research: Principles single way how to do it right  There are many ways how to do it wrong  Basic Planning  Which data / data sets should be used?  Which workload / queries should be run?  Which hardware & software should

Technology, Austria Institute of Interactive Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 04, 2021 2 706.015 Introduction Matthias Boehm, Graz University of Technology, WS 2021/22 Scientific Reading In Computer Science (Data Management) 5 706.015 Introduction to Scientific Writing – 02 Scientific Reading and Writing Matthias any straightforward implementation to adopt. Some proof-of- concept experiments show that on a few data sets, the results are slightly better than the most naïve prior methods. 13 706.015 Introduction