tutorial.ponylang.orgIntroduction · Pony Tutorial

Pony Tutorial Introduction Chapter 1: Getting Started with Pony What You Need Hello World: Your First Program Hello World: How It Works Chapter 2: Types The Pony Type System at a Glance Classes Primitives Actors Traits and Interfaces Type Aliases Type Expressions Chapter 3: Expressions Literals Variables Infix Operators Control Structures Methods Exceptions Equality Sugar Object Literals Partial Application Chapter 4: Capabilities Object Capabilities Reference Capabilities Guarantees Consume and Destructive Read Recovering Capabilities Aliasing Combining Capabilities Passing and Sharing Capability Subtyping Arrow Types Trust Boundary Chapter 5: Generics Reference Capabilities Constraints Chapter 6: Pattern Matching Match Expressions As Operator Chapter 7: Packages Package System Use Statement Standard Library Chapter 8: Testing PonyTest Chapter 9: C FFI Calling C from Pony Linking to C Libraries C ABI Callbacks Chapter 10: Gotchas! Divide by Zero Garbage Collection Scheduling Side-effect ordering in function call expressions Recursion Chapter 11: Where Next? Appendices Lexicon Symbol Lookup Cheatsheet Keywords Examples Pony & Whitespace Compiler Arguments Memory Allocation at Runtime Garbage Collection with Pony-ORCA Platform dependent code A short guide to Pony error messages Program Annotations Serialisation Published with GitBook Introduction Pony Tutorial Welcome to the Pony tutorial! If you&aposre reading this, chances are you want to learn Pony. That&aposs great, we&aposre going to make that happen. This tutorial is aimed at people who have some experience programming already. It doesn&apost really matter if you know a little Python, or a bit of Ruby, or you are a JavaScript hacker, or Java, or Scala, or C/C++, or Haskell, or OCaml: as long as you&aposve written some code before, you should be fine. What&aposs Pony, anyway? Pony is an object-oriented, actor-model, capabilities-secure programming language. It&aposs object-oriented because it has classes and objects, like Python, Java, C++, and many other languages. It&aposs actor-model because it has actors (similar to Erlang or Akka). These behave like objects, but they can also execute code asynchronously . Actors make Pony awesome. When we say Pony is capabilities-secure , we mean a few things: It&aposs type safe. Really type safe. There&aposs a mathematical proof and everything. It&aposs memory safe. Ok, this comes with type safe, but it&aposs still interesting. There are no dangling pointers, no buffer overruns, heck, the language doesn&apost even have the concept of null ! It&aposs exception safe. There are no runtime exceptions. All exceptions have defined semantics, and they are always handled. It&aposs data-race free. Pony doesn&apost have locks or atomic operations or anything like that. Instead, the type system ensures at compile time that your concurrent program can never have data races. So you can write highly concurrent code and never get it wrong. It&aposs deadlock free. This one is easy, because Pony has no locks at all! So they definitely don&apost deadlock, because they don&apost exist. We&aposll talk more about capabilities-security, including both object capabilities and reference capabilities later. The Pony Philosophy: Get Stuff Done In the spirit of Richard Gabriel , the Pony philosophy is neither "the-right-thing" nor "worse-is-better". It is "get-stuff-done". Correctness. Incorrectness is simply not allowed. It&aposs pointless to try to get stuff done if you can&apost guarantee the result is correct. Performance. Runtime speed is more important than everything except correctness. If performance must be sacrificed for correctness, try to come up with a new way to do things. The faster the program can get stuff done, the better. This is more important than anything except a correct result. Simplicity. Simplicity can be sacrificed for performance. It is more important for the interface to be simple than the implementation. The faster the programmer can get stuff done, the better. It&aposs ok to make things a bit harder on the programmer to improve performance, but it&aposs more important to make things easier on the programmer than it is to make things easier on the language/runtime. Consistency. Consistency can be sacrificed for simplicity or performance. Don&apost let excessive consistency get in the way of getting stuff done. Completeness. It&aposs nice to cover as many things as possible, but completeness can be sacrificed for anything else. It&aposs better to get some stuff done now than wait until everything can get done later. The "get-stuff-done" approach has the same attitude towards correctness and simplicity as "the-right-thing", but the same attitude towards consistency and completeness as "worse-is-better". It also adds performance as a new principle, treating it as the second most important thing (after correctness). Guiding Principles Throughout the design and development of the language the following principles should be adhered to. Use the get-stuff-done approach. Simple grammar. Language must be trivial to parse for both humans and computers. No loadable code. Everything is known to the compiler. Fully type safe. There is no "trust me, I know what I&aposm doing" coercion. Fully memory safe. There is no "this random number is really a pointer, honest." No crashes. A program that compiles should never crash (although it may hang or do something unintended). Sensible error messages. Where possible use simple error messages for specific error cases. It is fine to assume the programmer knows the definitions of words in our lexicon, but avoid compiler or other computer science jargon. Inherent build system. No separate applications required to configure or build. Aim to reduce common programming bugs through the use of restrictive syntax. Provide a single, clean and clear way to do things rather than catering to every programmer&aposs preferred prejudices. Make upgrades clean. Do not try to merge new features with the ones they are replacing, if something is broken remove it and replace it in one go. Where possible provide rewrite utilities to upgrade source between language versions. Reasonable build time. Keeping down build time is important, but less important than runtime performance and correctness. Allowing the programmer to omit some things from the code (default arguments, type inference, etc) is fine, but fully specifying should always be allowed. No ambiguity. The programmer should never have to guess what the compiler will do, or vice-versa. Document required complexity. Not all language features have to be trivial to understand, but complex features must have full explanations in the docs to be allowed in the language. Language features should be minimally intrusive when not used. Fully defined semantics. The semantics of all language features must be available in the standard language docs. It is not acceptable to leave behaviour undefined or "implementation dependent". Efficient hardware access must be available, but this does not have to pervade the whole language. The standard library should be implemented in Pony. Interoperability. Must be interoperable with other languages, but this may require a shim layer if non primitive types are used. Avoid library pain. Use of 3rd party Pony libraries should be as easy as possible, with no surprises. This includes writing and distributing libraries and using multiple versions of a library in a single program. More help Working your way through the tutorial but in need of more help? Not to worry, we have you covered. If you are looking for an answer "right now", we suggest you give our IRC channel a try. It&aposs #ponylang on Freenode. If you ask a question, be sure to hang around until you get an answer. If you don&apost get one, or IRC isn&apost your thing, we have a frie...