<jupyter_start><jupyter_text>What is a Jupyter notebook? Application for creating and sharing documents that contain:- live code- equations- visualizations- explanatory textHome page: http://jupyter.org/  Notebook tutorials- [Quick Start Guide](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/)- [User Documentation](http://jupyter-notebook.readthedocs.io/en/latest/)- [Examples Documentation](http://jupyter-notebook.readthedocs.io/en/latest/examples/Notebook/examples_index.html)- [Cal Tech](http://bebi103.caltech.edu/2015/tutorials/t0b_intro_to_jupyter_notebooks.html)  Notebook Users- students, readers, viewers, learners    - read a digital book    - interact with a "live" book- notebook developers    - create notebooks for students, readers, ...  Notebooks contain cells- Code cells    - execute computer (Python, or many other languages)- Markdown cells    - documentation, "narrative" cells        - guide a reader through a notebook  Following cells are "live" cells<jupyter_code>print ("Hello Jupyter World!; You are helping me learn")
(5+7)/4
import numpy as np
my_first_array = np.arange(11)
print (my_first_array)<jupyter_output>[ 0  1  2  3  4  5  6  7  8  9 10]
{'fraction_non_alphanumeric': 0.10618729096989966, 'fraction_numerical': 0.020903010033444816, 'mean_word_length': 4.516129032258065, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 1, '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}}
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