<jupyter_start><jupyter_text>Authenticate and create a filesystem client object<jupyter_code>adlCreds = lib.auth(tenant_id=tenant, client_secret=secret, client_id=clientId, ressource=audience)
adlsFileSystemClient = core.AzureDLFileSystem(adlCreds, store_name=account_name)<jupyter_output><empty_output><jupyter_text>List files<jupyter_code>if (adlsFileSystemClient.exists(r"/")):
    for file in adlsFileSystemClient.ls(r"/"):
        print(file)
        data = adlsFileSystemClient.read_block(r"/" + file, 0, None)
        content = data.decode(r"mbcs")
        print(content)<jupyter_output>Straßenverkehrslage.json
{"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"MultiLineString","coordinates":[[[7.1832493465,50.6686229802],[7.1829815123,50.6688835571],[7.1825854978,50.6692270584],[7.1821594396,50.6695077904],[7.181652804,50.6697911933],[7.1796792794,50.67101274],[7.1789164352,50.6714615943],[7.1785682107,50.6717192642],[7.1782933581,50.6719344516],[7.1779095713,50.6722731752],[7.1775793338,50.6725501386],[7.1772569429,50.6727908476]]]},"properties":{"strecke_id":144,"auswertezeit":"2019-05-01T16:55:00","geschwindigkeit":54,"verkehrsstatus":"normales Verkehrsaufkommen"}},{"type":"Feature","geometry":{"type":"MultiLineString","coordinates":[[[7.1770934736,50.6727182962],[7.1773483013,50.6725190823],[7.1783455954,50.6716890523],[7.1789586451,50.6712821516],[7.1795766459,50.6708967402],[7.1821149485,50.6693635454],[7.1826594024,50.668959176],[7.1830412177,50.6685879924]]]},"properties":{"strecke_id":143,"auswertezeit":"2019-05-01T16:55:00","gesch[...]
{'fraction_non_alphanumeric': 0.19074421513445905, 'fraction_numerical': 0.308317698561601, 'mean_word_length': 11.4031007751938, 'pattern_counts': {'":': 18, '<': 8, '<?xml version=': 0, '>': 8, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '320001', 'license': 'Apache-2.0', 'n_tokens_mistral': 931, 'n_tokens_neox': 645, 'n_words': 31, 'path': 'notebooks/Azure Data Lake Client samples.ipynb', 'repo_name': 'gisfromscratch/anaconda-data-analystics', 'size': '1599'}