<jupyter_start><jupyter_text>PEP8 and style guidelines- Python is an open-source language with core developers and a community proposing and discussing features- Every decision in the language development is signified with a PEP (Python Enhancement Proposal) which includes the feature analysis, reasons, implementation details, sometimes also discussions. All PEPs can be viewed here: https://www.python.org/dev/peps/. This is not the documentation, but more like "developer notes". There is usually no reason for a user to read PEPs, except for curiosity, but it is a good example of how a long term successful open-source project is structured.- One exception to the rule is PEP8: https://www.python.org/dev/peps/pep-0008/. It defines the style guidelines for writing Python code, and it is worth reading. Another is PEP20: The Zen of Python (https://www.python.org/dev/peps/pep-0020/)- We need PEP8 to make code more standardized and more easily readable. It is not the "absolute best" guideline, but it is one that Python users have chosen to follow.- Try to follow PEP8 always in the beginning. Later, when you know it well, you will see if and where you can ignore it.  IDEs  Visual Studio Codehttps://code.visualstudio.com/  Atomhttps://atom.io/  PyCharmhttps://www.jetbrains.com/pycharm/<jupyter_code>!ls
%timeit
%%writefile test_file.txt
This file contains text.
!cat test_file.txt
%%debug

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{'fraction_non_alphanumeric': 0.07322175732217573, 'fraction_numerical': 0.011157601115760111, 'mean_word_length': 4.562015503875969, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 6, 'lorem ipsum': 0, 'www.': 4, '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': '22811', 'license': 'MIT', 'n_tokens_mistral': 407, 'n_tokens_neox': 386, 'n_words': 192, 'path': '03_python_PEP8_IDE.ipynb', 'repo_name': 'antopolskiy/advanced-python-training', 'size': '1434'}