Calling Functions A Tutorial Klaus Iglberger, CppCon 2020 klaus.iglberger@gmx.de2 Klaus Iglberger C++ Trainer since 2016 Author of the C++ math library (Co-)Organizer of the Munich Two-Phase Lookup Template Argument Deduction SFINAE Overload Resolution (Viable) Candidate Functions Ranking Ambiguous Function Calls Access Labels Function Template Specializations Virtual Two-Phase Lookup Template Argument Deduction SFINAE Overload Resolution (Viable) Candidate Functions Ranking Ambiguous Function Calls Access Labels Function Template Specializations Virtual

for many years -- please provide suggestions, analogies, and other useful ways to think about functions now or in the future!Please do not redistribute slides without prior permission. 4Your Tour Guide for the talk ● Located here: https://github.com/MikeShah/Talks/tree/main/2023/cppcon/functions 6Abstract Functions are one of the first things programmers learn, granting you the ultimate power to 'reuse' overview of functions from the start to the end, on the various powers that are given to us from the ground up. Consider this talk your one stop for learning all of the great things about functions! We'll

From Functions to Coroutines 40 Years Evolution Rainer Grimm Training, Coaching, and Technology Consulting www.ModernesCpp.netEvolution of Callable template T invoke(Func sequence of functions can be changed ▪ Automatically parallelizable ▪ Results can be cachedPure Functions Working with a pure function is based on discipline Use common functions, meta-functions, constexpr constexpr, or consteval functions ▪ Function int powFunc(int m, int n){ if (n == 0) return 1; return m * powFunc(m, n - 1); } ▪ Meta-Function template struct PowMeta { static int const value

Python in Azure Functions 基于Python的Azure Functions实践 赵健 - Microsoft 目录 CONTENTS Python 在 Azure 中无处不在 粘合剂 – Azure Functions Azure Functions 实践 Python 在 Azure 中无处不在 IEEE Spectrum’s sixth annual interactive Dev Tools Azure DevOps Azure NoteBook 运行 Python 代码 VM App Service Functions AKS ACI Azure Batch Notebook 连接 & 集成 Azure服务 Functions 认知服务 CosmosDB Event Grid Blob … Python 应用在Azure中的多种方式 Cloud-Optimized Cost control and Operations model Azure Azure 粘合剂 – Azure Functions Serverless in Azure – FaaS 是 Serverless 架构的核心 什么是 Azure Functions .NET, Node, Java, Docker, PHP, Ruby, Python Staging & deployment

virt_duration = end-start;There are interesting technical details and surprising conclusions that virtual functions can be actually faster. Since CPU architectures are mentioned, I'd expect to see deep assembly eritance-vs-other- ways-performanceDoes it even matter?Conclusions ● The notion that “virtual functions are slower” is flat out wrong. ○ Which is not to say they are faster ○ Some of the suggested

Helmut Hlavacs – Combining Co-Routines and Functions into a Job System - CppCon 2021 1 / 39Helmut Hlavacs – Combining Co-Routines and Functions into a Job System - CppCon 2021 2 / 39 About Myself • Professor Processing) Technical Committee 14 Entertainment ComputingHelmut Hlavacs – Combining Co-Routines and Functions into a Job System - CppCon 2021 3 / 39 Creating Game Engines with C++ • Vienna Game Job System Vulkan Game Engine 2.0 https://github.com/hlavacs 20Helmut Hlavacs – Combining Co-Routines and Functions into a Job System - CppCon 2021 4 / 39 The Game Loop auto prev = high_resolution_clock::now();

ALTERNATE UNIVERSE INTRODUCTION DATA FUNCTIONS AND DATA ABSTRACTIONS FUNCTIONS Ivan Čukić KDAB CppCon 2021 INTRODUCTION DATA FUNCTIONS AND DATA ABSTRACTIONS FUNCTIONS ABOUT ME KDAB senior software engineer INTRODUCTION DATA FUNCTIONS AND DATA ABSTRACTIONS FUNCTIONS COMPOSITION Doug McIlroy and Dennis Ritchie Ivan Čukić KDAB CppCon 2021 INTRODUCTION DATA FUNCTIONS AND DATA ABSTRACTIONS FUNCTIONS COMPOSITION | uniq -c | sort -rn | sed ${1}q Ivan Čukić KDAB CppCon 2021 INTRODUCTION DATA FUNCTIONS AND DATA ABSTRACTIONS FUNCTIONS Doug McIlroy, Bell System Technical Journal, 1978: Make each program do one thing

Declarations Inline classes Delegation Delegated Properties Functions and Lambdas Functions Higher-Order Functions and Lambdas Inline Functions Collections Kotlin Collections Overview Constructing Collections Expression Equality Operator overloading Null Safety Exceptions Annotations Reflection Scope Functions Type-Safe Builders Experimental API Markers Reference Keywords and Operators Grammar Java contents Additional references Coroutine Basics Cancellation and Timeouts Composing Suspending Functions Coroutine Context and Dispatchers Asynchronous Flow Channels Exception Handling Shared mutable

68 69 71 72 72 72 74 74 75 77 2 Functions Named arguments Default parameter values Functions without return Single-expression functions Functions practice Lambda expressions Lambda expressions expressions practice Next step Classes Properties Create instance Access properties Member functions Data classes Practice Next step Null safety Nullable types Check for null values Use safe @JvmField in companions of interfaces Nested declarations in annotation classes Parameterless main Functions with big arity Progressive mode Inline classes Unsigned integers @JvmDefault Standard library

.............................................................................10 2.7. Aggregate Functions................................................................................................ ................................................................................17 3.5. Window Functions................................................................................................ Rules ............................................................................49 4.3. Calling Functions................................................................................................