meta.json

{
    "title": "Advanced NLP with spaCy",
    "slogan": "A free online course",
    "description": "In this course, you'll learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches. I originally developed the content for DataCamp, but I wanted to make a free version so you don't have to sign up for their service. As a weekend project, I ended up putting together my own little app to present the exercises and content in a fun and interactive way.",
    "bio": "I'm Ines, and I'm one of the core developers of spaCy and the co-founder of Explosion. I specialise in applications and developer tools for AI, Machine Learning and Natural Language Processing technologies. I also really love building stuff for the web.",
    "siteUrl": "https://course.spacy.io",
    "twitter": "spacy_io",
    "fonts": "IBM+Plex+Mono:500|IBM+Plex+Sans:700|Lato:400,400i,700,700i",
    "testTemplate": "from wasabi import Printer\n__msg__ = Printer()\n__solution__ = \"\"\"${solution}\"\"\"\n\n${solution}\n\n${test}\n\ntry:\n    test()\nexcept AssertionError as e:\n    __msg__.fail(e)",
    "pytestTemplate": "from wasabi import Printer\n__msg__ = Printer()\n__solution__ = \"\"\"${solution}\"\"\"\n\n${solution}\n\n${test}\ntest()",
    "juniper": {
        "repo": "ines/spacy-course",
        "branch": "binder",
        "kernelType": "python3",
        "debug": false
    },
    "footerLinks": [
        { "text": "spaCy Website", "url": "https://spacy.io" },
        { "text": "Course FAQ", "url": "https://github.com/ines/spacy-course#-faq" },
        { "text": "Source", "url": "https://github.com/ines/spacy-course" },
        { "text": "Follow me on Twitter", "url": "https://twitter.com/_inesmontani" }
    ],
    "theme": "#09a3d5"
}