<jupyter_start><jupyter_text>Lambda School Data Science - A First Look at Data  Lecture - let's explore Python DS libraries and examples!The Python Data Science ecosystem is huge. You've seen some of the big pieces - pandas, scikit-learn, matplotlib. What parts do you want to see more of?<jupyter_code># TODO - we'll be doing this live, taking requests
# and reproducing what it is to look up and learn things

# This is a change to the file 
myCars = ['toyota', 'honda', 'bmw', 'cooper', 'ram', 'rover']
print(myCars)<jupyter_output>['toyota', 'honda', 'bmw', 'cooper', 'ram', 'rover']<jupyter_text>Assignment - now it's your turnPick at least one Python DS library, and using documentation/examples reproduce in this notebook something cool. It's OK if you don't fully understand it or get it 100% working, but do put in effort and look things up.<jupyter_code># TODO - your code here
# Use what we did live in lecture as an example

joe = { 'name': 'Joe', 'is_female': False, 'age': 19 }
alice = { 'name': 'Alice', 'is_female': True, 'age': 20 }
sarah = { 'name': 'Sarah', 'is_female': True, 'age': 20 }
students = [joe, alice, sarah]
print(students)<jupyter_output>[{'name': 'Joe', 'is_female': False, 'age': 19}, {'name': 'Alice', 'is_female': True, 'age': 20}, {'name': 'Sarah', 'is_female': True, 'age': 20}]<jupyter_text>Assignment questionsAfter you've worked on some code, answer the following questions in this text block:1.  Describe in a paragraph of text what you did and why, as if you were writing an email to somebody interested but nontechnical.2.  What was the most challenging part of what you did?3.  What was the most interesting thing you learned?4.  What area would you like to explore with more time?<jupyter_code>#This one i read it in "A First Look at Data", I just wanted to see the output, so just copied and pasted the code and to see the result, i just typed "print(students)"
#It was not challanging
# the most interesting thing was browsing in DS library, I felt there are so many tools that i have no idea what are they used for, i felt like just need to learn how to use them.
#the most interesting thing i learned how to print the code.
#I would like to explore everything about DS library
winners = ['kyle', 'ron', 'brandon', 'jessica']
first_three = winners[:3]
print(first_three)

# I made a list of winners 
# used slice to indicate first three winners
# use print to display the names of three winners<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10149615851192884, 'fraction_numerical': 0.008087343307723413, 'mean_word_length': 4.84869976359338, 'pattern_counts': {'":': 0, '<': 11, '<?xml version=': 0, '>': 11, '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': '69863', 'license': 'MIT', 'n_tokens_mistral': 775, 'n_tokens_neox': 734, 'n_words': 368, 'path': 'module1-afirstlookatdata/LS_DS_111_A_First_Look_at_Data.ipynb', 'repo_name': 'Baisal89/DS-Unit-1-Sprint-1-Dealing-With-Data', 'size': '2473'}