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20 Novembre à 18h00
Google Montréal 1253 McGill College #150 Montréal, QC
Nous remercions Google Montréal pour leur commandite de MP68!
- 18:00 - Ouverture des portes
- 18:30 - Début des présentations
- 19:30 - Pause
- 19:45 - Présentation
- 20:30-21:00 - Fin de l'événement
Va debugger ton Python! - Stéphane Wirtel
Cette présentation vous explique les bases de Pdb ainsi que GDB, afin de debugger plus facilement vos scripts Python.
Writing a Python interpreter in Python from scratch - Zhentao Li
I will show a prototype of a Python interpreter written in entirely in Python itself (that isn't Pypy).
The goal is to have simpler internals to allow experimenting with changes to the language more easily. This interpreter has a small core with much of the library modifiable at run time for quickly testing changes. This differs from Pypy that aimed for full Python compatibility and speed (from JIT compilation). I will show some of the interesting things that you can do with this interpreter.
This interpreter has two parts: a parser to transform source to Abstract Syntax Tree and a runner for traversing this tree. I will give an overview of how both part work and discuss some challenges encountered and their solution.
This interpreter makes use of very few libraries, and only those included with CPython.
This project is looking for members to discuss ways of simplifying parts of the interpreter (among other things).
The talk would be about Rasa, an open-source chatbots platform - Nathan Zylbersztejn
Most chatbots rely on external APIs for the cool stuff such as natural language understanding (NLU) and disappoint because if and else conditionals fail at delivering good representations of our non linear human way to converse. Wouldn’t it be great if we could 1) take control of NLU and tweak it to better fit our needs and 2) really apply machine learning, extract patterns from real conversations, and handle dialogue in a decent manner? Well, we can, thanks to Rasa.ai. It’s open-source, it’s in Python, and it works
About Nathan Zylbersztejn:
Nathan is the founder of Mr. Bot, a dialogue consulting agency in Montreal with clients in the media, banking and aerospace industries. He holds a master in economics, a graduate diploma in computer science, and a machine learning nanodegree.