<jupyter_start><jupyter_text>Spark PySpark  Imports<jupyter_code>import pyspark 

sc = pyspark.SparkContext('local[*]')
# do something to prove it works
rdd = sc.parallelize(range(1000))
rdd.takeSample(False, 5)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12448132780082988, 'fraction_numerical': 0.02074688796680498, 'mean_word_length': 8.68, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '602867', 'license': 'MIT', 'n_tokens_mistral': 102, 'n_tokens_neox': 94, 'n_words': 16, 'path': 'notebooks/.ipynb_checkpoints/Essentials-checkpoint.ipynb', 'repo_name': 'juliocnsouzadev/spark-python', 'size': '241'}