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

C++20 ❤ SQL John R Bandela, MDOverview u SQL u C++ Example u Implementation techniques u fixed_string u meta_struct u Parsing compile time strings into meta_structsOverview v SQL v C++ Example {price_from_user};Avoiding SQL Injection Attacks SELECT orders.id, name, item, price, discount_code FROM orders JOIN customers ON customers.id = customerid WHERE price > ?;SQL Library Options u Traditional Lots of information available u Vulnerable to sql injection of developer not careful u Use dynamic typingDomain Specific Language u Use types to encode SQL u Looks more like regular C++ u Typically requires

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();

第三届中国Rust开发者⼤会 ⽤ egg 孵化你的 SQL 优化器 王润基 RisingWave 内核开发⼯程师 ? Parser Binder Optimizer Executor SQL AST Logical Plan Physical Plan Table Catalog Storage RisingLight 查询引擎的整体结构 SELECT name, url url FROM t1 JOIN t2 WHERE t1.id = t2.id AND name = ‘Bob’ SQL Logical Plan Physical Plan Projection name, url Filter t1.id = t2.id name = “Bob” Join Scan t1(id, name) Scan t2(id, url) Filter #1 = “Bob” Hash Join #0 = #2 Scan $1.1, $1.2 Scan $2.1, $2.2 Projection #1, #3 ⼀个 SQL 语句优化的例⼦ 基于规则的优化 (RBO) 基于代价的优化 (CBO) 谓词下推 Join Filter A B Join Filter A B Filter Join A Join

development tools Summary Go basic knowledge Hello, Go Go foundation Control statements and functions struct Object-oriented interface Concurrency Summary Web foundation Web working principles Validation of inputs Cross site scripting Duplicate submissions File upload Summary Database database/sql interface How to use MySQL How to use SQLite How to use PostgreSQL How to use beedb ORM NOSQL WebSocket REST RPC Summary Security and encryption CSRF attacks Filter inputs XSS attacks SQL injection Password storage Encrypt and decrypt data Summary Internationalization and localization

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 3.4 Procedures and functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 3.4.1 DecodeStringBase64 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 5.4 Procedures and functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133 5.4.1 RegisterDatapacketReader . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202 8.4 Procedures and functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205 8.4.1 RSHash . . . . . . .