Just how different is "Modern C++" from "legacy C++"? Is my codebase ready for C++17? Do I need a full rewrite of my app to modernize my code? If you're looking for answers to some of these questions, join us for a session on how to effectively leverage modern C++17 features in your existing C++ projects; and no, you don't need to rewrite your app.
Just how different is "Modern C++" from "legacy C++"? Is my codebase ready for C++17? Do I need a full rewrite of my app to modernize my code? If you're looking for answers to some of these questions, join us for a session on how to effectively leverage modern C++17 features in your existing C++ projects; and no, you don't need to rewrite your app.
The document discusses the Rust programming language, highlighting its features like concurrency, safety, and package management. It covers Rust's syntax including expressions, attributes, pattern matching and generics. The document also discusses how Rust handles concurrency through tasks and channels to enable safe parallelism and communication between threads.
Go uses goroutines and channels for concurrency. Goroutines are lightweight threads that communicate through channels, which are typed queues that allow synchronous message passing. Channels can be used to synchronize access to shared memory, allowing both shared memory and message passing for concurrency. The language is designed for scalable fine-grained concurrency but further improvements are still needed, especially to the goroutine scheduler.
This document provides an overview of the C programming language including its history, standards, structure, and comparisons to Java. It was created by Dennis Ritchie at Bell Labs in the early 1970s to develop the Unix operating system. C is a procedural, medium-level language that provides low-level access to memory allowing it to be compiled directly to machine code for efficiency. It influenced many modern languages but lacks features like exception handling and object-oriented programming.
The why and how of moving to PHP 5.5/5.6Wim Godden
With PHP 5.6 out and many production environments still running 5.2 or 5.3, it's time to paint a clear picture on why everyone should move to 5.5 and 5.6 and how to get code ready for the latest version of PHP. In this talk, we'll look at some handy tools and techniques to ease the migration.
Kyo is a next-generation effect system that introduces an approach based on algebraic effects to deliver straightforward APIs in the pure Functional Programming paradigm. Unlike similar solutions, Kyo achieves this without inundating developers with esoteric concepts from Category Theory or using cryptic symbolic operators. This results in a development experience that is both intuitive and robust.
Kyo generalizes the innovative effect rotation mechanism introduced by ZIO. While ZIO restricts effects to two channels, namely dependency injection and short-circuiting, Kyo allows for an arbitrary number of effectful channels. This enhancement offers developers greater flexibility in effect management and simplifies Kyo's internal codebase through more principled design patterns.
In addition to this novel approach to effect handling, Kyo provides seamless direct syntax inspired by Monadless and a comprehensive set of built-in effects like Aborts for short-circuiting, Envs for dependency injection, and Fibers for green threads with fine-grained uncooperative preemption.
After over two years in development, the first public release of the project will be made during Functional Scala 2023. Attendees will also be treated to benchmark results that showcase Kyo's unparalleled performance.
Carol McDonald gave a presentation on the new features introduced in Java SE 5.0, including generics, autoboxing/unboxing, enhanced for loops, type-safe enumerations, varargs, and annotations. Generics allow type-safety when working with collections by specifying the collection element type. Autoboxing automatically converts between primitives and their corresponding wrapper types. The enhanced for loop simplifies iteration over collections. Type-safe enumerations provide an improved way of defining enum types. Varargs and annotations were also introduced to simplify coding patterns.
It is quite often that software developers have absolutely no clue about the cost of an error. It is very important that the error be found at the earliest possible stage.
The document discusses crash-resistance in software and how it can be exploited. It explains how exceptions generated by crashes in callback functions in Windows are handled, allowing programs to continue running despite crashes. This crash-resistance property is demonstrated through a simple example program. The document then discusses how crash-resistant probing of memory can be used to bypass defenses like ASLR by scanning process memory from a web worker without crashing the browser. Techniques like heap spraying and type confusion are used to craft fake objects and scan memory in a crash-resistant manner to discover information like the TEB and DLL base addresses.
Rust is a systems programming language focused on three goals: safety, speed, and concurrency. It is open source and provides top-tier performance like C/C++ while ensuring memory safety and preventing issues like memory leaks through its ownership and borrowing model that is checked at compile time. Rust also supports features like enums, pattern matching, generics, traits, and has a built-in test system to help ensure correctness.
Ruby 2.5 includes new features such as allowing rescue/else/ensure blocks directly in do/end, yield_self, Hash slicing methods, and Struct classes that accept keyword arguments. It also provides performance improvements like removing trace instructions for 5-10% faster execution and optimizing block passing. Additionally, there are other notable changes like Thread exceptions defaulting to report, SecureRandom preferring OS sources, and updates to standard libraries, Unicode version, RubyGems, and RDoc.
The why and how of moving to php 5.4/5.5Wim Godden
With PHP 5.5 out and many production environments still running 5.2 (or older), it's time to paint a clear picture on why everyone should move to 5.4 and 5.5 and how to get code ready for the latest version of PHP. In this talk, we'll look at some handy tools and techniques to ease the migration.
[C++] The Curiously Recurring Template Pattern: Static Polymorphsim and Expre...Francesco Casalegno
••• Exploit the full potential of the CRTP! •••
In this presentation you will learn:
▸ what is the curiously recurring template pattern
▸ the actual cost (memory and time) of virtual functions
▸ how to implement static polymorphism
▸ how to implement expression templates to avoid loops and copies
Go is a statically typed, compiled programming language designed at Google in 2007 to improve programming productivity for multicore and networked machines. It addresses criticisms of other languages used at Google while keeping useful characteristics like C's performance, Python's readability, and support for high-performance networking and multiprocessing. Go is syntactically similar to C but adds memory safety, garbage collection, and CSP-style concurrency. There are two major implementations that target multiple platforms including WebAssembly. Go aims to guarantee that code written for one version will continue to build and run with future versions.
This document summarizes key features introduced in Java SE 5.0 (Tiger) including generics, autoboxing/unboxing, enhanced for loops, type-safe enums, varargs, static imports, and annotations. It also discusses performance enhancements in the virtual machine as well as new concurrency utilities like Executors and ScheduledExecutorService that make multi-threaded programming easier and more robust.
An introduction to the motivation behind the ooc project.
In a nutshell: software sucks, tools sucks, languages sucks - examples of what not to do. How ooc allows you to do pretty much aything with a few building blocks. An overview of the advantages/strong points of ooc.
The document discusses the motivation for creating a hybrid programming language called ooc. It aims to remove obstacles, encourage experimentation, and minimize frustration compared to existing languages. Ooc takes useful aspects from other languages like Java but without their downsides. It allows generating C code for various compilers while providing its own tools and modules system. The language is still being improved with future plans including additional optimizations and type system enhancements.
Go 1.10 Release Party, featuring what's new in Go 1.10 and a few deep dives into how Go works.
Presented at the PDX Go Meetup on April 24th, 2018.
https://www.meetup.com/PDX-Go/events/248938586/
Python 3000 (Python 3.0) is an upcoming major release that will break backwards compatibility to fix early design mistakes and issues. It introduces many changes like Unicode as the default string type, a reworked I/O library, print as a function, and removal of some old features like classic classes. The document provides details on the changes and recommends projects support both Python 2.6 and 3.0 during the transition period.
1. The document discusses building resilient services in Go by focusing on uptime, error handling, concurrency, and monitoring services. It provides examples of handling errors, avoiding race conditions, implementing timeouts, and profiling services to understand memory usage and detect issues.
2. Key recommendations include carefully handling errors and resources using defer, avoiding race conditions using channels properly, enabling the race detector, implementing timeouts, and profiling services regularly to monitor memory usage and detect issues.
3. The document advocates knowing your service well through metrics like memory usage per request, stack traces of goroutines, and who is allocating memory in order to build resilience through monitoring, error handling, and avoiding common pitfalls.
CRAXweb: Automatic web application testing and attack generationShih-Kun Huang
This paper proposes to test web applications and
generate the feasible exploits directly and automatically, including cross-site scripting and SQL injection attacks. Our target is to generate the attack string and reproduce the results, emulating the manual attack behavior. In contrast with other traditional detection and prevention methods, we can certainly determine the presence of vulnerabilities and prove the feasibility of attacks. This automatic generation process is mainly based on a dynamic software testing method-symbolic execution by
S2E. We have applied this automatic process to several known vulnerabilities on large-scale open source web applications, and generated the attack strings successfully. Our method is web platform independent, covering PHP, JSP, Rails, and Django.
The Ring programming language version 1.8 book - Part 95 of 202Mahmoud Samir Fayed
The document provides code examples for creating a GUI application with Ring that includes two buttons. It shows how to create a main window and two buttons, set their properties like geometry, text, and click events. It also shows how to call a function from a button click event and create a second window.
Slides from Advaned Python lectures I gave recently in Haifa Linux club
Advanced python, Part 2:
- Slots vs Dictionaries
- Basic and Advanced Generators
- Async programming
Goroutines and channels are Go's approach to concurrency. Goroutines are lightweight threads that are scheduled by the Go runtime instead of the OS kernel. Channels allow goroutines to communicate by passing messages. This makes sharing state easier than with traditional threads. Common concurrency problems like deadlocks can still occur, so the Go race detector tool helps find issues. Overall, Go's model embraces concurrency through goroutines and channels, but care must still be taken to avoid problems.
The document outlines the plan for the day which includes administrative tasks, communication methods, grading, and recording classes. It discusses IRC, a class website, and email for communication. It notes grading will not be stressful and includes a grading form. It describes future problem sets will include an auto-grader and demos. Recording classes will be somewhat edited and to press a button if you don't want to be recorded. It ends with asking if there are any questions.
Tools to help you write better code - Princeton WintersessionHenry Schreiner
In this workshop, we will investigate a variety of tools to ensure a software project is kept readable, clean, up to date, and as close to bug and warning free as possible. We will primarily focus on Python tooling, though much of what we cover will be applicable to other languages as well. We’ll cover testing, coverage, and especially static checks, which can give you some assurance over even untested code. We’ll look at some aspects of packaging as well.
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Carol McDonald gave a presentation on the new features introduced in Java SE 5.0, including generics, autoboxing/unboxing, enhanced for loops, type-safe enumerations, varargs, and annotations. Generics allow type-safety when working with collections by specifying the collection element type. Autoboxing automatically converts between primitives and their corresponding wrapper types. The enhanced for loop simplifies iteration over collections. Type-safe enumerations provide an improved way of defining enum types. Varargs and annotations were also introduced to simplify coding patterns.
It is quite often that software developers have absolutely no clue about the cost of an error. It is very important that the error be found at the earliest possible stage.
The document discusses crash-resistance in software and how it can be exploited. It explains how exceptions generated by crashes in callback functions in Windows are handled, allowing programs to continue running despite crashes. This crash-resistance property is demonstrated through a simple example program. The document then discusses how crash-resistant probing of memory can be used to bypass defenses like ASLR by scanning process memory from a web worker without crashing the browser. Techniques like heap spraying and type confusion are used to craft fake objects and scan memory in a crash-resistant manner to discover information like the TEB and DLL base addresses.
Rust is a systems programming language focused on three goals: safety, speed, and concurrency. It is open source and provides top-tier performance like C/C++ while ensuring memory safety and preventing issues like memory leaks through its ownership and borrowing model that is checked at compile time. Rust also supports features like enums, pattern matching, generics, traits, and has a built-in test system to help ensure correctness.
Ruby 2.5 includes new features such as allowing rescue/else/ensure blocks directly in do/end, yield_self, Hash slicing methods, and Struct classes that accept keyword arguments. It also provides performance improvements like removing trace instructions for 5-10% faster execution and optimizing block passing. Additionally, there are other notable changes like Thread exceptions defaulting to report, SecureRandom preferring OS sources, and updates to standard libraries, Unicode version, RubyGems, and RDoc.
The why and how of moving to php 5.4/5.5Wim Godden
With PHP 5.5 out and many production environments still running 5.2 (or older), it's time to paint a clear picture on why everyone should move to 5.4 and 5.5 and how to get code ready for the latest version of PHP. In this talk, we'll look at some handy tools and techniques to ease the migration.
[C++] The Curiously Recurring Template Pattern: Static Polymorphsim and Expre...Francesco Casalegno
••• Exploit the full potential of the CRTP! •••
In this presentation you will learn:
▸ what is the curiously recurring template pattern
▸ the actual cost (memory and time) of virtual functions
▸ how to implement static polymorphism
▸ how to implement expression templates to avoid loops and copies
Go is a statically typed, compiled programming language designed at Google in 2007 to improve programming productivity for multicore and networked machines. It addresses criticisms of other languages used at Google while keeping useful characteristics like C's performance, Python's readability, and support for high-performance networking and multiprocessing. Go is syntactically similar to C but adds memory safety, garbage collection, and CSP-style concurrency. There are two major implementations that target multiple platforms including WebAssembly. Go aims to guarantee that code written for one version will continue to build and run with future versions.
This document summarizes key features introduced in Java SE 5.0 (Tiger) including generics, autoboxing/unboxing, enhanced for loops, type-safe enums, varargs, static imports, and annotations. It also discusses performance enhancements in the virtual machine as well as new concurrency utilities like Executors and ScheduledExecutorService that make multi-threaded programming easier and more robust.
An introduction to the motivation behind the ooc project.
In a nutshell: software sucks, tools sucks, languages sucks - examples of what not to do. How ooc allows you to do pretty much aything with a few building blocks. An overview of the advantages/strong points of ooc.
The document discusses the motivation for creating a hybrid programming language called ooc. It aims to remove obstacles, encourage experimentation, and minimize frustration compared to existing languages. Ooc takes useful aspects from other languages like Java but without their downsides. It allows generating C code for various compilers while providing its own tools and modules system. The language is still being improved with future plans including additional optimizations and type system enhancements.
Go 1.10 Release Party, featuring what's new in Go 1.10 and a few deep dives into how Go works.
Presented at the PDX Go Meetup on April 24th, 2018.
https://www.meetup.com/PDX-Go/events/248938586/
Python 3000 (Python 3.0) is an upcoming major release that will break backwards compatibility to fix early design mistakes and issues. It introduces many changes like Unicode as the default string type, a reworked I/O library, print as a function, and removal of some old features like classic classes. The document provides details on the changes and recommends projects support both Python 2.6 and 3.0 during the transition period.
1. The document discusses building resilient services in Go by focusing on uptime, error handling, concurrency, and monitoring services. It provides examples of handling errors, avoiding race conditions, implementing timeouts, and profiling services to understand memory usage and detect issues.
2. Key recommendations include carefully handling errors and resources using defer, avoiding race conditions using channels properly, enabling the race detector, implementing timeouts, and profiling services regularly to monitor memory usage and detect issues.
3. The document advocates knowing your service well through metrics like memory usage per request, stack traces of goroutines, and who is allocating memory in order to build resilience through monitoring, error handling, and avoiding common pitfalls.
CRAXweb: Automatic web application testing and attack generationShih-Kun Huang
This paper proposes to test web applications and
generate the feasible exploits directly and automatically, including cross-site scripting and SQL injection attacks. Our target is to generate the attack string and reproduce the results, emulating the manual attack behavior. In contrast with other traditional detection and prevention methods, we can certainly determine the presence of vulnerabilities and prove the feasibility of attacks. This automatic generation process is mainly based on a dynamic software testing method-symbolic execution by
S2E. We have applied this automatic process to several known vulnerabilities on large-scale open source web applications, and generated the attack strings successfully. Our method is web platform independent, covering PHP, JSP, Rails, and Django.
The Ring programming language version 1.8 book - Part 95 of 202Mahmoud Samir Fayed
The document provides code examples for creating a GUI application with Ring that includes two buttons. It shows how to create a main window and two buttons, set their properties like geometry, text, and click events. It also shows how to call a function from a button click event and create a second window.
Slides from Advaned Python lectures I gave recently in Haifa Linux club
Advanced python, Part 2:
- Slots vs Dictionaries
- Basic and Advanced Generators
- Async programming
Goroutines and channels are Go's approach to concurrency. Goroutines are lightweight threads that are scheduled by the Go runtime instead of the OS kernel. Channels allow goroutines to communicate by passing messages. This makes sharing state easier than with traditional threads. Common concurrency problems like deadlocks can still occur, so the Go race detector tool helps find issues. Overall, Go's model embraces concurrency through goroutines and channels, but care must still be taken to avoid problems.
The document outlines the plan for the day which includes administrative tasks, communication methods, grading, and recording classes. It discusses IRC, a class website, and email for communication. It notes grading will not be stressful and includes a grading form. It describes future problem sets will include an auto-grader and demos. Recording classes will be somewhat edited and to press a button if you don't want to be recorded. It ends with asking if there are any questions.
Tools to help you write better code - Princeton WintersessionHenry Schreiner
In this workshop, we will investigate a variety of tools to ensure a software project is kept readable, clean, up to date, and as close to bug and warning free as possible. We will primarily focus on Python tooling, though much of what we cover will be applicable to other languages as well. We’ll cover testing, coverage, and especially static checks, which can give you some assurance over even untested code. We’ll look at some aspects of packaging as well.
Modern binary build systems have made shipping binary packages for Python much easier than ever before. This talk discusses three of the most popular build systems for Python packages using the new standards developed for packaging.
This document discusses software quality assurance tooling, focusing on pre-commit. It introduces pre-commit as a tool for running code quality checks before code is committed. Pre-commit allows configuring hooks that run checks and fixers on files matching certain patterns. Hooks can be installed from repositories and support many languages including Python. The document provides examples of pre-commit checks such as disallowing improper capitalization in code comments and files. It also discusses how to configure, run, update and install pre-commit hooks.
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- Cookiecutter for generating project templates
- SSH configuration files and escape sequences for easier remote access
- Autojump to quickly navigate frequently visited directories
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This document provides best practices for using CMake, including:
- Set the cmake_minimum_required version to ensure modern features while maintaining backward compatibility.
- Use targets to define executables and libraries, their properties, and dependencies.
- Fetch remote dependencies at configure time using FetchContent or integrate with package managers like Conan.
- Import library targets rather than reimplementing Find modules when possible.
- Treat CUDA as a first-class language in CMake projects.
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Top 12 Most Useful AngularJS Development Tools to Use in 2025GrapesTech Solutions
AngularJS remains a popular JavaScript-based front-end framework that continues to power dynamic web applications even in 2025. Despite the rise of newer frameworks, AngularJS has maintained a solid community base and extensive use, especially in legacy systems and scalable enterprise applications. To make the most of its capabilities, developers rely on a range of AngularJS development tools that simplify coding, debugging, testing, and performance optimization.
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Read detail: https://www.grapestechsolutions.com/blog/12-angularjs-development-tools/
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Adobe Media Encoder is a transcoding and rendering application that is used for converting media files between different formats and for compressing video files. It works in conjunction with other Adobe applications like Premiere Pro, After Effects, and Audition.
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Media Encoder allows you to convert video and audio files from one format to another (e.g., MP4 to WAV). It also renders projects, which is the process of producing the final video file.
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Autodesk Inventor includes powerful modeling tools, multi-CAD translation capabilities, and industry-standard DWG drawings. Helping you reduce development costs, market faster, and make great products.
As businesses are transitioning to the adoption of the multi-cloud environment to promote flexibility, performance, and resilience, the hybrid cloud strategy is becoming the norm. This session explores the pivotal nature of Microsoft Azure in facilitating smooth integration across various cloud platforms. See how Azure’s tools, services, and infrastructure enable the consistent practice of management, security, and scaling on a multi-cloud configuration. Whether you are preparing for workload optimization, keeping up with compliance, or making your business continuity future-ready, find out how Azure helps enterprises to establish a comprehensive and future-oriented cloud strategy. This session is perfect for IT leaders, architects, and developers and provides tips on how to navigate the hybrid future confidently and make the most of multi-cloud investments.
The Shoviv Exchange Migration Tool is a powerful and user-friendly solution designed to simplify and streamline complex Exchange and Office 365 migrations. Whether you're upgrading to a newer Exchange version, moving to Office 365, or migrating from PST files, Shoviv ensures a smooth, secure, and error-free transition.
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Investing in training technology is tough and choosing between building a custom solution or purchasing an existing platform can significantly impact your business. While building may offer tailored functionality, it also comes with hidden costs and ongoing complexities. On the other hand, buying a proven solution can streamline implementation and free up resources for other priorities. So, how do you decide?
Join Roxanne Petraeus and Anne Solmssen from Ethena and Elizabeth Mohr from Rustici Software as they walk you through the key considerations in the buy vs. build debate, sharing real-world examples of organizations that made that decision.
Ajath is a leading mobile app development company in Dubai, offering innovative, secure, and scalable mobile solutions for businesses of all sizes. With over a decade of experience, we specialize in Android, iOS, and cross-platform mobile application development tailored to meet the unique needs of startups, enterprises, and government sectors in the UAE and beyond.
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AI in Business Software: Smarter Systems or Hidden Risks?Amara Nielson
AI in Business Software: Smarter Systems or Hidden Risks?
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What is AI and how it works
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3. What sort of language is Rust?
High level or low level?
4. What sort of language is Rust?
High level or low level?
Object Oriented?
5. Low Level
Allowed in Linux Kernel (C)
Native embedded support
No exception handling (C++)
No garbage collector (Go)
High Level
Zero cost abstractions (C++)
Functional elements
Trait system
Syntactic macros
28. Cargo commands
New
Run
cargo new foo
Created binary (application) `foo` package
cargo run --bin foo
Compiling foo v0.1.0 (/Users/henryschreiner/tmp/foo)
Finished dev [unoptimized + debuginfo] target(s) in 0.21s
Running `target/debug/foo`
Hello, world!
29. Cargo commands
New
Run
Tests cargo test
Compiling foo v0.1.0 (/Users/henryschreiner/tmp/foo)
Finished test [unoptimized + debuginfo] target(s) in 2.53s
Running unittests src/main.rs (target/debug/deps/foo-f51fd73e2da0c0ec)
running 0 tests
test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
30. Cargo commands
New
Run
Tests
Benchmarking
cargo test
Compiling foo v0.1.0 (/Users/henryschreiner/tmp/foo)
Finished test [unoptimized + debuginfo] target(s) in 2.53s
Running unittests src/main.rs (target/debug/deps/foo-f51fd73e2da0c0ec)
running 0 tests
test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
cargo bench
Compiling foo v0.1.0 (/Users/henryschreiner/tmp/foo)
Finished bench [optimized] target(s) in 0.20s
Running unittests src/main.rs (target/release/deps/foo-140fab48e69ea289)
running 0 tests
test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s
37. Modern design
no legacy
Enums
Modern enum +
std::variant (C++17)
Enum + Union (Python)
Use statements (including *)
enum Direction {
North,
West,
East,
South,
}
38. Modern design
no legacy
Enums
Modern enum +
std::variant (C++17)
Enum + Union (Python)
Use statements (including *)
enum Direction {
North,
West,
East,
South,
}
enum Value {
Int(i32),
Float(f64),
}
39. Modern design
no legacy
Enums
Modern enum +
std::variant (C++17)
Enum + Union (Python)
Use statements (including *)
enum Direction {
North,
West,
East,
South,
}
enum Option<T> {
Some(T),
None,
}
(Don’t actually write this, it’s built in!)
enum Value {
Int(i32),
Float(f64),
}
41. Modern design
no legacy
Pattern matching
Perfect with enums
Exhaustive
Shortcut “if let”
let val = match dir {
North => 1,
West => 2,
East => 3,
South => 4,
}
42. Modern design
no legacy
Pattern matching
Perfect with enums
Exhaustive
Shortcut “if let”
let val = match dir {
North => 1,
West => 2,
East => 3,
South => 4,
}
m
m
m
m
m
p
p
p
p
p
p
p
p
("
"
v}
}
)
)
}
43. Modern design
no legacy
Pattern matching
Perfect with enums
Exhaustive
Shortcut “if let”
let val = match dir {
North => 1,
West => 2,
East => 3,
South => 4,
}
if let Some(v) = opt {
println!(“{v}");
}
44. Modern design
no legacy
Error handling
No exceptions (catching)
Panic (uncatchable exit)
Can unwind (default) or abort
Error enum (C++23)
Shortcut: ?
(on Option too)
45. Modern design
no legacy
Error handling
No exceptions (catching)
Panic (uncatchable exit)
Can unwind (default) or abort
Error enum (C++23)
Shortcut: ?
(on Option too)
panic!("Goodby");
46. Modern design
no legacy
Error handling
No exceptions (catching)
Panic (uncatchable exit)
Can unwind (default) or abort
Error enum (C++23)
Shortcut: ?
(on Option too)
panic!("Goodby");
fn f(x: i32) -> Option<u32> {
if x >= 0 {
Some(x as u32)
} else {
None
}
}
47. Modern design
no legacy
Error handling
No exceptions (catching)
Panic (uncatchable exit)
Can unwind (default) or abort
Error enum (C++23)
Shortcut: ?
(on Option too)
panic!("Goodby");
fn f(x: i32) -> Option<u32> {
if x >= 0 {
Some(x as u32)
} else {
None
}
}
fn g(x: i32) -> Option<u32> {
Some(f(x)?)
}
50. Modern design
no legacy
Moves
Move (C++11) by default
Explicit clones & references
Slices (C++17)
let s = "hello".to_string();
f(s);
// s now invalid!
51. Modern design
no legacy
Moves
Move (C++11) by default
Explicit clones & references
Slices (C++17)
let s = "hello".to_string();
f(s);
// s now invalid!
f(s.clone());
// Explicit copy
// Some types support implicit
52. Modern design
no legacy
Moves
Move (C++11) by default
Explicit clones & references
Slices (C++17)
let s = "hello".to_string();
f(s);
// s now invalid!
f(s.clone());
// Explicit copy
// Some types support implicit
f(&s);
// Immutable reference
53. Modern design
no legacy
Moves
Move (C++11) by default
Explicit clones & references
Slices (C++17)
let s = "hello".to_string();
f(s);
// s now invalid!
f(s.clone());
// Explicit copy
// Some types support implicit
f(&s);
// Immutable reference
Functions can even take &str,
which is a generic string slice!
55. Modern design
no legacy
Constraints required
Constraints (C++20) required
Great error messages
use std::vec::Vec;
fn sum<T>(v: &Vec<T>) -> T {
v.iter().sum()
}
57. u
u
u
u
u
u
f
f
}
Modern design
no legacy
Constraints required
Constraints (C++20) required
Great error messages
use std::vec::Vec;
fn sum<T>(v: &Vec<T>) -> T {
v.iter().sum()
}
Entirely following instructions
from the compiler!
58. Modern design
no legacy
Constraints required
Constraints (C++20) required
Great error messages
use std::vec::Vec;
fn sum<T>(v: &Vec<T>) -> T {
v.iter().sum()
}
use std::iter::Sum;
fn sum<T: for<'a> Sum<&'a T>>(v: &[T]) -> T {
v.iter().sum()
}
Entirely following instructions
from the compiler!
60. Modern design
no legacy
Module system
Modules (C++20, C++23)
Explicit public interface
(private by default)
Basically nothing to show, it just works.
No import statements required.
61. Memory safety
at compile time!
Ownership
Tracked at compile time
Lifetimes
Always tracked, sometimes explicit
Single mutable ref
Can’t have a const ref too!
Unsafe blocks
Can move safety checks to runtime
Only one of the three major C++ successor
languages (Val) is attempting this!
Library utilities
Rc, Weak, Box, Cell, RefCell, …
63. Syntactic Macros
Rust’s secret sauce
Almost like re
f
lection (C++26?)
Fully scoped
Support variable arguments
Simple inline version too
Can be written in Rust!
Access tokenizer and AST
println!("Hello")
vec![1,2,3]
#[derive(Debug)]
struct A {}
#[cfg(test)]
struct A {}
All items can have attributes, too!
66. Traits
Protocol++
use core::ops::Add;
#[derive(Debug)]
struct Vector {
x: f64,
y: f64,
}
impl Add for Vector {
type Output = Self;
fn add(self, other: Self) -> Self {
Self {
x: self.x + other.x,
y: self.y + other.y,
}
}
}
fn main() {
let a = Vector{x: 1.0, y: 2.0};
let b = Vector{x: 3.0, y: 4.0};
let c = a + b;
// Or let c = a.add(b);
println!("{c:?}");
}
Explicit opt-in
Method-like syntax
Derive macro
Explicit scoping
Rule: Must “own”
either trait or type
67. What is Advent of Code?
Just in case you haven’t heard of it
• 25 structured word problems expecting code-based solutions
• Example test input
• A per-user unique generated input
• A (usually large) integer answer, time spaced retries
• A second part unlocked by answering the
f
irst, same input
• Competitive ranking based on time to solution, released at midnight
• ~1/4 million people attempt every year, 10K or so
f
inish
• Often unusual variations on known problems (helps avoid AI solutions)
68. Advent of Code to learn a language
Pros and cons
• Code should solve problems
• Wide range of algorithms
• Extensive solutions available after the leaderboard
f
ills
• Libraries not required but often helpful
• Nothing too slow if done right
• All share similar structure (text in, int out)
• Hard to be competitive in a new language
69. henryiii/aoc2023
Repository details
Solutions to all 25 days of AoC 2023 in Rust
Most are stand-alone solutions (a couple share via lib)
Balance between speed and readability
Trying di
ff
erent things, libraries, styles
Some documentation
Some have Python versions in docs
Many have various versions in Git history
70. Day 1
Sum
f
irst + last
fn number_line(line: &str) -> u32 {
let mut chars = line.chars().filter_map(|c| c.to_digit(10));
let start = chars.next().unwrap();
let end = chars.last().unwrap_or(start);
10 * start + end
}
fn main() {
let text = std::fs::read_to_string("01.txt").unwrap();
let sum: u32 = text.lines().map(number_line).sum();
println!("Sum: {sum}");
}
#[cfg(test)]
mod tests {
use super::*;
const INPUT: &str = "
1abc2
pqr3stu8vwx
a1b2c3d4e5f
treb7uchetn";
#[test]
fn test_01() {
let sum: u32 = INPUT.lines().map(number_line).sum();
assert_eq!(sum, 142);
}
}
Only docs are removed,
otherwise this is the
whole
f
ile!
src/bin/01.rs gets
picked up automatically
by Cargo
71. Day 5
Optional progress bar
#[cfg(feature = "progressbar")]
use indicatif::ProgressIterator;
/// …
#[cfg(feature = "progressbar")]
let seed_iter = seed_iter.progress_count(
seeds.iter().skip(1).step_by(2).sum()
);
72. Day 7
Card game
#[derive(Debug, PartialEq, Eq, PartialOrd, Ord, Clone, Copy, Hash, EnumString)]
enum StdCard {
#[strum(serialize = "2")]
Two,
#[strum(serialize = "3")]
Three
// …
} // Also JokerCard
73. Day 7
Card game
#[derive(Debug, PartialEq, Eq, PartialOrd, Ord, Clone, Copy, Hash, EnumString)]
enum StdCard {
#[strum(serialize = "2")]
Two,
#[strum(serialize = "3")]
Three
// …
} // Also JokerCard
trait Card: Hash + Eq + Copy + Debug + Ord + FromStr {
fn is_joker(&self) -> bool;
}
76. Day 22
3D block tower
fn compute1(text: &str) -> usize {
let mut blocks = read(text);
blocks.sort();
lower_blocks(&mut blocks);
removable_blocks(&blocks).len()
}
Setting up Blocks took ~100 lines (omitted!)
Rendered in Blender with Python
77. Day 22
3D block tower
fn compute1(text: &str) -> usize {
let mut blocks = read(text);
blocks.sort();
lower_blocks(&mut blocks);
removable_blocks(&blocks).len()
}
Setting up Blocks took ~100 lines (omitted!)
Rendered in Blender with Python
79. Day 24b
Worst Python - Rust comparison
from pathlib import Path
import sympy
def read(fn):
txt = Path(fn).read_text()
lines = [t.replace("@", " ").split() for t in txt.splitlines()]
return [tuple(int(x.strip(",")) for x in a) for a in lines]
px, py, pz, dx, dy, dz = sympy.symbols("px, py, pz, dx, dy, dz", integer=True)
vals = read("24data.txt")
eqs = []
for pxi, pyi, pzi, dxi, dyi, dzi in vals[:3]:
eqs.append((pxi - px) * (dy - dyi) - (pyi - py) * (dx - dxi))
eqs.append((pyi - py) * (dz - dzi) - (pzi - pz) * (dy - dyi))
answer = sympy.solve(eqs)
print(answer)
This is the whole Python solution
Resorted to tricks to keep Rust solution manageable
80. Thoughts on Rust
Generally very positive!
• Loved the developer experience with Cargo
• Maxed out clippy (linter) with nursery lints and more
• Good support for functional programming was great
• Loved the Trait system
• Code wasn’t concise, but clear and fun to write
• Had to
f
ight Rust occasionally, but code was better for it
• Had zero segfaults. Zero.
81. Thoughts on Rust
A few downsides
• Code was a lot longer than the Python version
• Code sometimes slower than the Python version (higher level libs)
• But found pretty good libs with ports of the Python algorithms
sometimes
• Much younger ecosystem than Python (but there _is_ one, unlike C++/C)
• Dependencies are “normal”, so can’t just use stdlib (good and bad)
• Some missing features, but it was easy to work around
• No generators or ternaries, for example
82. When would I use Rust?
Just some ideas
• For command line / developer tools
• Startup speed is unbelievable compared to any interpreter
• Options exist for unicode handling (unlike, say, C++…)
• For Python extensions (Python integration is top-notch)
• For things that don’t need CUDA
• When targeting WebAssembly
• If not needing libraries in other languages (though it has cross-compat)
83. Rust compared to other languages
A few, anyway
• You can write a library that depends on another library! (C++)
• Editions can work together (C++)
• No/little bad legacy code (like templates without constraints) (C++)
• Lazy functional, multiline closures, Traits, and explicit errors (Python)
• First-class support for features and pro
f
iles (C++ or Python)