<jupyter_start><jupyter_text>Getting started with python References books/blogs about python- [A Byte of python](https://python.swaroopch.com/)- [The hitchhiker's guide to Python](https://docs.python-guide.org/intro/learning/)- [Think Python](https://greenteapress.com/wp/think-python-2e/)- [Problem Solving with Algorithms and Data Structures using Python](https://runestone.academy/runestone/books/published/pythonds/index.html) Blog/Article about Jupyter- [Magic commands](https://ipython.readthedocs.io/en/stable/interactive/magics.html)- [Latex Mathematics equation guide](https://en.wikibooks.org/wiki/LaTeX/Mathematics)<jupyter_code># The blue color outside the cell represents command mode.
# And the green color indicates edit mode.
# Press 'Esc' to get into command mode.
# Press 'Enter' to go back into edit mode.
# Press 'P' to view the list of all available commands.
# This is a coding cell.
# Let's write your first Python program here.

Name = input("Enter your name: ")
print("Hello,", Name)

# Press 'Shift + Enter' to execute the cell.
# Writing comments in a code cell can sometimes creates confusion. Jupyter notebook works both as a notebook and a coding console. 
# To write explanatory texts, you can use a markdown cell which enables you to format your comments well to create a more
# readable code.

# Let's now learn about markdown cells, then.
# Press 'M' in command mode to convert a code cell to a Markdown cell.<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10047522063815342, 'fraction_numerical': 0.0006788866259334691, 'mean_word_length': 4.780392156862745, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 6, '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': '69078', 'license': 'MIT', 'n_tokens_mistral': 442, 'n_tokens_neox': 420, 'n_words': 169, 'path': '01_pre-requisites/01_python/py00 jupyter intro.ipynb', 'repo_name': 'sujeetkrjaiswal/learn-ml-ai', 'size': '1473'}