<jupyter_start><jupyter_text>Introduction to Jupyter NotebookThis is how Jupyter Notebook looks like. You can write and run the code, partially or entirely. It will provide more interactive user interface so that you can get in to Python programming more easily.  If you can see this Jupyter notebook, it means that now you know how you download data from GitHub. Task 1. Enter variablesPlease enter your name below, then run the cell by clicking `Run` button on the menu or by hitting `Control + Enter` on your keyboard.```python   NAME = "<NAME>"```You will see 'This is the first Jupyter Notebook of [YOUR_NAME]' printed. For example, `This is the first Jupyter Notebook of Jinwoo Park.`<jupyter_code>## Your code here
NAME = ""
print(f'This is the first Jupyter Notebook of {NAME}.')<jupyter_output><empty_output><jupyter_text>Task 2. Write your first code. Now, let us write the first line of your code. You can simply type   ```python   print('Hello World')   ```   at the cell below. Then, run the cell to see the result.<jupyter_code>## Your code here<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07621671258034894, 'fraction_numerical': 0.0018365472910927456, 'mean_word_length': 4.828877005347594, 'pattern_counts': {'":': 0, '<': 10, '<?xml version=': 0, '>': 10, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '652530', 'license': 'MIT', 'n_tokens_mistral': 318, 'n_tokens_neox': 309, 'n_words': 157, 'path': 'Labs/Lab0/Lab0_Get_Ready_for_GIS_Programming.ipynb', 'repo_name': 'jparkgeo/GEOG489', 'size': '1094'}