Jonathan Slenders

Often when asyncio is discussed, people think of it as a high performance concurrency programming paradigm for Python. In this talk however, we approach asyncio from a different angle, one that will possibly help some of you to finally get what asyncio is about. it's not only about performance, but at least as much about correctness and readability of concurrent applications.

Concurrency is hard to get right.

Often when asyncio is discussed, people think of it as a high performance concurrency programming paradigm for Python. In this talk however, we approach asyncio from a different angle, one that will possibly help some of you to finally get what asyncio is about. it's not only about performance, but at least as much about correctness and readability of concurrent applications.

It is known that for multithreaded applications, synchronization is hard to get right. Doing it wrong can either lead to deadlocks or broken data structures.

We will have a look at how using asyncio is different from using threads, when it's better and what pitfalls we have.

This talk should be a good introduction for anyone just starting with asyncio, but can also clarify things for people that are using asyncio already. I expect people to have at least used some form of concurrency, either threads or an event loop like we have in JavaScript.

Two years ago at Fosdem 2015, I presented prompt_toolkit, a library for building command line applications. A lot of progress was made, and it became the foundation for the UI in many tools, including IPython, http-prompt, xonsh and others.

During this talk, we'll have a look at how prompt_toolkit progressed, how it became successful, how it created a community/ecosystem of many new command line applications, and the future.

Two years ago at Fosdem 2015, I presented prompt_toolkit, a library for building command line applications. A lot of progress was made, and it became the foundation for the UI in many tools, including IPython, http-prompt, xonsh and others.

During this talk, we'll have a look at how prompt_toolkit progressed, how it became successful, how it created a community/ecosystem of many new command line applications, and the future.

Python and "the SOLID principles". This is an introduction to the first five principles named by Robert C. Martin (uncle Bob). These principles are the foundation of a good software architecture. We will have a look at how this applies to Python code. We will have a look at abstract base classes, dependency inversion and so on.

Python and "the SOLID principles". This is an introduction to the first five principles named by Robert C. Martin (uncle Bob). These principles are the foundation of a good software architecture. We will have a look at how this applies to Python code. We will have a look at abstract base classes, dependency inversion and so on.

Ptpython is a better Python REPL built on top of prompt-toolkit. In this talk we'll have a look at what pt(i)python is and how to use it. Further we'll have a look at the underlying library prompt-toolkit. We'll see how it works and how easy it is to create a custom REPL with syntax highlighting, code completion and input validation. (for instance to create an SQLite client.)

Prompt-toolkit is a library for designing command line interfaces. Basically, it can be a pure Python replacement for GNU readline: it implements most of the Emacs and Vi keybindings as well as reverse search and code completion and it supports double width characters. However, it can be even much more powerful. There is syntax highlighting of the input, multiline editing, support for toolbars, custom layouts, multiple input fields and integration with other event loops (e.g. asyncio).

In this talk we will see how easy it is to create a custom command line interface: it doesn't take more than a few lines of code. Further we'll see how to add input validation, code completion and other extensions, each without much effort.

We will also have a look at ptpython. This is a Python REPL build on top of this library. We have a look at several interesting features of ptpython which can make your REPL experience even better. And finally, there is ptipython, the front-end for IPython.