"JavaScript-driven Native" oIntro to NativeScript oNativeScript core concepts o“Hello World” oExtending with plugins oDebugging JavaScript Why are we here? How did NativeScript come to be? Swift/Obj-C Java .NET Wrapper API Wrapper API Wrapper • Plugins created with JS/TypeScript • Angular Support (or not ?) • 100% Day 0 API Access • Everything Runs on UI Thread* • Plugins created with native code • React Support run everywhere o Share 100% code between iOS/Android o Share 80% code with web o Reuse popular plugins from NodeJS/iOS/Android o Integrates deeply with Angular and TypeScript The {N} difference…

ready to rock! ? TJ and Jen ? @tjvantoll @jenlooper What’s new in…. • Core ? • Tooling ? • Plugins ? • Community ? • Apps ? Core ? Core ? • CLI updates ? • Webpack ? • Threading ⛓ • Angular tns debug ios|android --watch tns install webpack Webpack ?➡? It makes a difference ⏱ tns build android --bundle ~35% reduction in app size Threading ⛓ • NativeScript = single threaded, by default Dataform is new! Telerik Platform ? Plugins ? Plugins ? • 250+ plugins on npm! OAuth? • https://github.com/alexziskind1/nativescript-oauth Firebase ? Top Ten Plugins (by npm downloads) ? • 10) ? nativescript-paypal

0 章：命令行小技巧 传统的 CMake 软件构建 / 安装方式 • mkdir build • cd build • cmake .. • make -j4 • sudo make install • cd .. • 需要先创建 build 目录 • 切换到 build 目录 • 在 build 目录运行 cmake < 源码目录 > 生成 Makefile • 执行本地的构建系统 提供了更方便的 -B 和 --build 指令，不同平台，统一命 令！ • cmake -B build • cmake --build build -j4 • sudo cmake --build build --target install • cmake -B build 免去了先创建 build 目录再切换进去再指定源码目录的麻烦。 • cmake --build build 统一了不同平台（ devenv.exe ） • 结论：从现在开始，如果在命令行操作 cmake ，请使用更方便的 -B 和 --build 命令。 // 在源码目录用 -B 直接创建 build 目录并生成 build/Makefile // 自动调用本地的构建系统在 build 里构建，即： make -C build -j4 // 调用本地的构建系统执行 install

ase:build-debian11 cd /curve/ # 使用 gcc 编译 bazel build –config=gcc7-later … # use '-faligned-new' to enable C++17 over-aligned new support # 使用 clang 编译 CC=clang CXX=clang++ bazel build …2 制作镜像 $(pwd):/curve -v /root/.cache/bazel:/root/.cache/bazel -it opencurvedocker/curve-base:build-debian11 # 容器内 cd /curve/curvefs make build os=debian11 # 容器外 # curvefs sudo make image os=debian11 tag=harbor.cloud com/curve/curvefs:chengyi01-debian113 修改 & 单元测试 curvefs/test/tools/curvefs_version_tool_test.cpp # 使用 clang 编译 CC=clang CXX=clang++ bazel build curvefs/...THANK YOU

Unknown waPC &[u8] Result,error > Linux x86_64, macOS x86_64 ,Wi ndows x86_64, … cargo build —target wasm- unknown-unknown waPC Host (Go) waPC Guest Rust • Read wasm file • Select engine waPC • Use wapc_init to register function • _start also can • Util Lib uses wapc_init, users build on top of ”_start” extern crate wapc_guest as guest; extern crate Regex; ... fn echo_req_json(msg: com/wasmmock/ wasm_mock_server • 用 rust 打包所有测试需求 Wasm mock server Why use rust ？ Software testing tool • 模拟数据规则 • 自动化测试 • Company's own protocol • Microservices • Multiple backend product line with

reviewed and tested • Released VS 2019 16.5, 16.6, 16.7, 16.8 Preview 3 • GitHub migration ongoing • Build system (native desktop), test suite, issue database • Goal: Complete C++20 in 2020 • No promises Generated via GitHub's GraphQL API29 Code: github.com/microsoft/STL • Product: stl/inc, stl/src • Build system: CMake/Ninja • vcpkg submodule acquires Boost.Math for Special Math • tests/std, tests/libcxx enforce clang-format for product/test code • Saves an incredible amount of time • Our parallelize tool runs it quickly, only on C++ files • Failed checks display the edits that clang-format wants • Building

(mostly C/C++). 利用 Rust 重塑移动应用开发 Photo / image / chart Rust FFI On IOS - Rust targets for IOS - Build the static universal library for different target - Call the function on the swift code 利用 Rust - High Performance: Rust provides performance comparable to C and C++. This makes Rust a powerful tool for developing high-performance mobile applications. 利用 Rust 重塑移动应用开发 Thank you ！

sites: • > 20 years doing programming and DevOps • > 20 Languages and many OS’s • > 30 NativeScript Plugins • Wrote books on NativeScript • Owner of Master.Technology • Senior partner in nStudio

ML App Python/Matlab/R Java/C/C++/Restful IoT Application Visualization Tool Grafana Web Based Management Tool 21,400+ 4,600+ 18,500+ 社区版开源 2019.07.12 集群版开源 2020.08.03 云原生版开源 2022.08.13 注