<jupyter_start><jupyter_text>New ProjectsThe first step is to import the package and create a MarCon dictionary. This is one giant dictionary that contains all required options, filepaths, etc. These can also be produced using the GUI [Marxan Connect](http://marxanconnect.ca)<jupyter_code>import marxanconpy
import os

project = marxanconpy.marcon.new_project()<jupyter_output><empty_output><jupyter_text>Load ProjectsWe can also load pre-existing `.MarCon` files<jupyter_code>path = os.path.dirname(marxanconpy.__file__)
project = marxanconpy.marcon.load_project(os.path.join(path,'data','CF_demographic','tutorial.MarCon'))<jupyter_output>Warning: This project file was created with a different version of Marxan Connect. Attempting to update for compatibility
Warning: This project file does not contain all the required fields (marxan). Attempting to update for compatibility<jupyter_text>Editing Projects<jupyter_code>project['filepaths']['aa_filepath'] = "path\to\file.shp"<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.0891089108910891, 'fraction_numerical': 0.0, 'mean_word_length': 7.868421052631579, 'pattern_counts': {'":': 0, '<': 12, '<?xml version=': 0, '>': 12, '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': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '221994', 'license': 'MIT', 'n_tokens_mistral': 314, 'n_tokens_neox': 305, 'n_words': 87, 'path': 'source/example_marcon.ipynb', 'repo_name': 'remi-daigle/marxanconpy', 'size': '1010'}