<jupyter_start><jupyter_text>List and its Default Function<jupyter_code>lst = ["Ais",20,3.7,[8,6,3],"word"]
lst
lst[1]
lst[3][2]
lst.append("independent")
lst
lst.remove("independent")
lst
lst.index("word")<jupyter_output><empty_output><jupyter_text>Dictionary and its Default Function<jupyter_code>dit = {"name":"Aiswarya",
       "dept":"petroleum",
       "batch":"1st",
       "college":"JCT",
       "branch":"technology"}
dit
dit["name"]
dit.pop
dit.items()
dit.get("batch")
dit.keys()
dit["place"]= "pichanur"
dit<jupyter_output><empty_output><jupyter_text>Sets and its Default Function<jupyter_code>x = 29
y = 8.4
z = 100
x + y
print(x+y)
x+y+z
print(type(8.4))
type(100)
st = {"aishuu","education",9,6,3,3,0,0,2,}
st
st.add("ocean")
st
st1 = {9,"ocean"}
st2 = {3,"education"}
st1.issubset(st)
st2.issubset(st1)
st.difference(st2)
st.intersection(st1)
st.add(122)
st<jupyter_output><empty_output><jupyter_text>Tuple and its Default function<jupyter_code>tup = ("python","is","not","#","#","complicated")
tup
tup.count("#")
tup.count("python")
tup.index("complicated")
tup.index("is")<jupyter_output><empty_output><jupyter_text>String and its Default methods<jupyter_code>name = "Aiswarya"
name1 = "python"
name2 = "word"
name 
name1 +"_"+ name2
print(name1)
print(type(name2))
type(name)
str = "name"+"name1"+"name2"+"name2"
str.count(name1)
str.find(name1)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.2014336917562724, 'fraction_numerical': 0.03799283154121864, 'mean_word_length': 7.89171974522293, 'pattern_counts': {'":': 5, '<': 21, '<?xml version=': 0, '>': 21, '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': '5', 'dir': 'jupyter-structured-clean-dedup', 'id': '55892', 'license': 'Apache-2.0', 'n_tokens_mistral': 621, 'n_tokens_neox': 599, 'n_words': 91, 'path': 'Day2, B7 - Assignment 1-checkpoint.ipynb', 'repo_name': 'aishwarya2816/LetsUpgrade-Python-essential---B7', 'size': '1395'}