<jupyter_start><jupyter_text>Answer Number 1<jupyter_code>list = ["Indah", 123, 30, "good", [3,2,1]]
list
list[0]
list[4][2]
list[-1]<jupyter_output><empty_output><jupyter_text>Answer Number 2<jupyter_code>dit = {"name":"Indah", "age":20,
       "phone number":+6282186898121,"email":"<EMAIL>", "hobby":"writting"}
dit
type(dit)
dit['name']
dit.keys()
dit.values()<jupyter_output><empty_output><jupyter_text>Answer Number 3<jupyter_code>st = {"indah","letsupgrade",1,2,3,4,4,5,6,5,5}
st
type(st)
st1={"indah",1}
st1.issubset(st)<jupyter_output><empty_output><jupyter_text>Answer Number 4<jupyter_code>tup = ("indah","@","Letsupgrade.in","study","vacation")
tup
tup.count("@")
tup.index("vacation")
Answer Number 5
firstName = "Indah"
lastName = "<NAME>"
myHobby = "writting"
myAmbition = "front end web developer"
myInstitute = "Polytechnic state of sriwijaya"
firstName
lastName
type(firstName)
firstName +   ''  +  lastName<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1905759162303665, 'fraction_numerical': 0.04607329842931937, 'mean_word_length': 9.505494505494505, 'pattern_counts': {'":': 5, '<': 19, '<?xml version=': 0, '>': 19, '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': '4', 'dir': 'jupyter-structured-clean-dedup', 'id': '510958', 'license': 'MIT', 'n_tokens_mistral': 430, 'n_tokens_neox': 399, 'n_words': 61, 'path': 'Day 2/Assignment/Day2.ipynb', 'repo_name': 'indahpl/LetsUpgrade-Python-Essentials', 'size': '984'}