Grand tuto pour sauver les données d'une partition perdue.
Version française sur LinuxFr : https://linuxfr.org/users/siltaar/journaux/apres-photorec
We live in a world that is gradually and incessantly attracted by over-rationality and order. In this article we’ll burst the enchanted bubble and embrace corruption and chaos — We’re going to discuss the topic of image glitch art.
Features an extensive list of level design tutorials covering principles of gameplay, design, layout and workflows using various games, level editors and game engines.
- software, level editors and game engines for level design
- becoming a better level designer
- ideas, planning and preproduction
- gameplay
- level design creation
- level design workflows
- survival/horror level design
- game industry insights
- interviews
Plusieurs solutions:
- L’API C de CPython. Y’en a qu’ont essayé, ils ont eu des problèmes…
En utilisant cette méthode, vous aurez accès à tout l’interpréteur Python et vous pourrez tout faire… mais à quel prix ?
Je ne vous recommande pas cette approche, je me suis cassé les dents pendant 4 mois dessus avec un succès mitigé.- Cython est une bonne solution mais plus orienté sur l’optimisation de code.
- CFFI: le saint Graal, alléluia!
Il y a trois moyens d’utiliser CFFI, comprenez bien cela car c’est la partie tricky:
- Le mode ABI/Inline
- Le mode API/Out-of-line
- Le mode ABI/Out-of-line
This site aims to provide simplest possible examples of HTML, CSS and JavaScript.
Using Python’s matplotlib and pandas, we’ll see that it’s rather easy to replicate the core parts of any FiveThirtyEight (FTE) visualization.
A tutu on how to count hapaxes (words which occur only once in a text or corpus) using NLTK.
Some alternatives mentioned:
- Pattern : Python package for datamining the WWW which includes submodules for language processing and machine learning
- Polyglot : language library focusing on "massive multilingual applications"
- spaCy : an "industrial strength" NLP library focused on performance with a streamlined API
Instructables is a place that lets you explore, document, and share your DIY creations.
Try IPython from your Browser: PythonAnywhere