Concept: HTML and XML tags in the document

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_numbers(5,▁10) <html> ▁▁▁▁<body> ▁▁▁▁▁▁▁▁

Result▁of▁Addition

▁▁▁▁▁▁▁▁

(self,▁number): ▁▁▁▁▁▁▁▁#▁Wrap▁the▁number▁in▁a▁custom▁HTML▁tag ▁▁▁▁▁▁▁▁return▁f"<number>{number}number>" ▁▁▁▁

▁▁▁▁#▁Emulating▁a▁simplistic▁document▁structure▁with▁imaginary▁tags ▁▁▁▁html_structure▁=▁f"<document>{string}document>" ▁▁▁▁ ▁▁▁▁

▁array▁of▁HTML▁and▁XML▁tags tags_array▁=▁['<div>',▁'',▁'',▁' ',▁'<a>',▁'

',

▁Here▁we▁can▁think▁of▁elements▁as▁the▁content▁within▁certain▁tags ▁▁▁▁▁▁▁▁ ▁▁▁▁def▁push(self,▁item): ▁▁▁▁▁▁▁▁if▁len(self.

/XML▁like▁structure) data▁=▁""" <houses> ▁▁▁▁<house> ▁▁▁▁▁▁▁▁<size>1500size>

▁ #▁similar▁to▁modifying▁an▁attribute▁within▁an▁<element

length) print(fibonacci_sequence) <html> ▁▁<body> ▁▁▁▁

Fibonacci▁Sequence

▁▁▁▁The

▁and▁training▁the▁decision▁tree▁classifier▁(similar▁to▁structuring▁HTML▁with▁tags) clf▁=▁DecisionTreeClassifier() clf.fit(X,▁y)

Subsample Interval 1

▁▁▁▁def▁to_xml(self): ▁▁▁▁▁▁▁▁return▁f"<student>\n▁▁<name>{self.name}name>\n▁▁<

num) ▁▁▁▁num▁+=▁1 #▁Incorporating▁HTML▁and

▁is▁divisible▁by▁another model ```python #▁Create▁an▁HTML▁structure▁to▁take▁user▁input html_code▁=▁""" DOCTYPE

▁right_depth)▁+▁1 #▁Example▁of▁HTML-like▁structure▁representing▁a▁binary▁tree #▁<binaryTree> #▁▁▁▁▁<node

def▁to_xml(self): ▁▁▁▁▁▁▁▁return▁f"<person><name>{self.name}name><age>{self.age}age><

Subsample Interval 2

model ```python DOCTYPE▁html> <html> <head> ▁▁▁▁<title>Divisible▁Numberstitle

▁count_vowels(word) ▁▁▁▁▁▁▁▁print(f"<word>{word}word><vowels>{vowel_count}vowels>")

model ```python DOCTYPE▁html> <html> <head> ▁▁▁▁<title>Number▁Displaytitle>

model ```python DOCTYPE▁html> <html> <head> ▁▁▁▁<title>Prime▁Numberstitle> head

▁generate_random_string() print(f"<randomString>{random_string}randomString>")

Subsample Interval 3

model ```html DOCTYPE▁html> <html▁lang="en"> <head> ▁▁▁▁<meta▁charset="UTF-

model Creating▁a▁chatbot▁can▁be▁likened▁to▁structuring▁a▁document▁with▁specific▁markers.▁Just▁as▁one▁would▁use▁different▁symbols▁to▁define▁sections,▁a▁bot▁utilizes

self): ▁▁▁▁▁▁▁▁for▁row▁in▁self.board: ▁▁▁▁▁▁▁▁▁▁▁▁print('|'.join(row)) ▁▁▁▁▁▁▁▁▁▁▁▁print('-'▁*▁5) ▁▁▁▁

▁and▁`height`,▁we▁can▁define▁the▁source▁for▁conversion.▁The▁`<circle>`,▁`<rect>`,▁and▁`<path>`▁elements▁indicate▁the▁markers▁available

▁weave▁together▁a▁series▁of▁checks▁that▁filter▁through▁the▁interconnected▁fibers▁of▁possible▁factors.▁Here’s▁a▁simple▁implementation▁in▁Python: ```python def

Subsample Interval 4

Sharon▁wants▁to▁get▁kitchen▁supplies.▁She▁admired▁Angela's▁kitchen▁supplies▁which▁consist▁of▁20▁pots,▁6▁more▁than▁three▁times▁as▁many▁plates▁as▁the▁pots,▁and▁half▁as▁many▁cutlery▁as▁the▁plates.▁Sharon▁wants▁to▁buy▁half▁as▁many▁pots▁as▁Angela,▁20▁less▁than▁three▁times▁as▁many▁plates▁as▁Angela,▁and▁twice▁as▁much▁cutlery▁as▁Angela.▁What▁is▁the▁total▁number▁of▁kitchen▁supplies▁Sharon▁wants▁to▁buy? model To▁determine▁the▁total▁number▁of▁kitchen▁supplies▁Sharon▁wants▁to▁buy,▁we▁can▁break▁it▁down▁as▁follows: 1.▁**Pots:**▁Angela▁has▁20▁pots.▁Sharon▁wants▁to▁buy▁half▁as▁many. ▁▁▁-▁Sharon's▁pots▁=▁20▁/▁2▁=▁10▁pots. 2.▁**Plates:**▁Angela▁has▁6▁more▁than▁three▁times▁as▁many▁plates▁as▁her▁pots. ▁▁▁-▁Plates▁=▁3▁*▁20▁+▁6▁=▁60▁+▁6▁=▁66▁plates. ▁▁▁-▁Sharon▁wants▁to▁buy▁20▁less▁than▁three▁times▁as▁many

▁open(filename,▁mode='r',▁newline='',▁encoding='utf-8')▁as▁file: ▁▁▁▁▁▁▁▁reader▁=▁csv.DictReader(file)

What▁are▁a▁few▁ways▁that▁I▁can▁keep▁my▁house▁cool▁when▁it▁is▁hot▁in▁the▁summer? model 1.▁Use▁fans▁strategically:▁Ceiling▁fans▁should▁rotate▁counterclockwise▁to▁create▁a▁cooling▁breeze.▁Additionally,▁placing▁box▁fans▁in▁windows▁can▁help▁push▁hot▁air▁out▁and▁draw▁cooler▁air▁in. 2.▁Block▁out▁the▁sun:▁Close▁curtains▁or▁blinds▁during▁the▁hottest▁part▁of▁the▁day▁to▁reduce▁heat▁gain.▁Consider▁using▁reflective▁shades▁or▁blackout▁curtains▁for▁maximum▁effectiveness. 3.▁Ventilation:▁Open▁windows▁during▁cooler▁parts▁of▁the▁day▁or▁night▁to▁allow▁fresh▁air▁to▁circulate.▁If▁you▁have▁cross-ventilation,▁opening▁windows▁on▁opposite▁sides▁of▁the▁house▁can▁create▁a▁breeze. 4.▁Seal▁gaps:▁Check▁for▁and▁seal▁any▁leaks▁around

(input_string): ▁▁▁▁print(f'"{input_string}"▁is▁a▁palindrome.') else: ▁▁▁▁

What▁is▁the▁emblem▁of▁the▁United▁States▁Marine▁Corps? model The▁emblem▁of▁the▁United▁States▁Marine▁Corps▁features▁an▁eagle,▁globe,▁and▁anchor.▁The▁eagle▁represents▁the▁nation,▁the▁globe▁symbolizes▁worldwide▁service,▁and▁the▁anchor▁signifies▁naval▁traditions.▁This▁emblem▁is▁a▁powerful▁symbol▁of▁the▁Marine▁Corps'▁commitment▁to▁duty▁and▁country

Subsample Interval 5

What▁is▁an▁AVA▁when▁it▁comes▁to▁wine? model An▁AVA,▁or▁American▁Viticultural▁Area,▁is▁a▁designated▁wine▁grape-growing▁region▁in▁the▁United▁States▁that▁has▁specific▁geographic▁and▁climatic▁features▁contributing▁to▁the▁characteristics▁of▁the▁wine▁produced▁there.▁These▁designations▁are▁established▁by▁the▁Alcohol▁and▁Tobacco▁Tax▁and▁Trade▁Bureau▁(TTB)▁and▁are▁intended▁to▁provide▁consumers▁with▁information▁about▁the▁origin▁and▁quality▁of▁the▁wine.▁Each▁AVA▁has▁its▁own▁unique▁attributes▁that▁influence▁the▁grape▁varieties▁grown,▁the▁styles▁of▁wine▁produced,▁and▁the▁overall▁reputation▁of▁the▁region

Sol▁sells▁candy▁bars▁to▁raise▁money▁for▁her▁softball▁team.▁On▁the▁first▁day,▁she▁sells▁ten▁candy▁bars▁and▁sells▁four▁more▁candy▁bars▁than▁she▁sold▁the▁previous▁day▁each▁day▁afterward.▁If▁she▁sells▁six▁days▁a▁week▁and▁each▁candy▁bar▁costs▁10▁cents,▁how▁much▁will▁she▁earn▁in▁a▁week▁in▁dollars? model To▁find▁out▁how▁much▁Sol▁will▁earn▁in▁a▁week,▁we▁need▁to▁first▁determine▁how▁many▁candy▁bars▁she▁sells▁each▁day▁for▁six▁days. On▁the▁first▁day,▁Sol▁sells▁10▁candy▁bars.▁Then,▁she▁sells▁4▁more▁candy▁bars▁than▁the▁previous▁day▁each▁day▁after▁that.▁Let's▁break▁it▁down: -▁Day▁1:▁10▁candy▁bars -▁Day▁2:▁10▁+▁4▁=▁14▁candy▁bars -▁Day▁3:▁14▁+▁4▁=▁18▁candy▁bars -▁Day▁4:▁18▁+▁4

What▁is▁the▁difference▁between▁instant▁oatmeal▁and▁regular▁oatmeal? model Instant▁oatmeal▁and▁regular▁oatmeal▁differ▁primarily▁in▁processing▁and▁cooking▁time.▁Instant▁oatmeal▁is▁pre-cooked▁and▁then▁dried,▁which▁allows▁it▁to▁cook▁quickly—often▁in▁just▁a▁minute▁or▁two▁when▁hot▁water▁is▁added.▁It▁usually▁comes▁in▁flavored▁packets▁that▁may▁contain▁added▁sugars▁and▁preservatives.▁ Regular▁oatmeal,▁such▁as▁steel-cut▁or▁rolled▁oats,▁undergoes▁less▁processing▁and▁retains▁more▁texture▁and▁nutrients.▁It▁typically▁requires▁a▁longer▁cooking▁time—ranging▁from▁5▁to▁30▁minutes—depending▁on▁the▁type.▁This▁means▁regular▁oats▁often▁provide▁a▁heartier▁meal▁with▁a▁chewier▁texture▁compared▁to▁the▁softer▁consistency▁of▁instant▁oats

What▁is▁the▁difference▁between▁bourbon▁and▁whiskey? model Bourbon▁is▁a▁type▁of▁whiskey,▁but▁not▁all▁whiskey▁is▁bourbon.▁The▁main▁difference▁lies▁in▁the▁ingredients▁and▁the▁production▁process.▁To▁be▁classified▁as▁bourbon,▁a▁whiskey▁must▁be▁made▁from▁at▁least▁51%▁corn▁and▁aged▁in▁new▁charred▁oak▁barrels.▁Additionally,▁it▁must▁be▁distilled▁to▁no▁more▁than▁160▁proof▁and▁entered▁into▁the▁barrel▁at▁125▁proof▁or▁less.▁Bourbon▁also▁typically▁has▁a▁sweeter▁flavor▁profile▁due▁to▁the▁high▁corn▁content. On▁the▁other▁hand,▁whiskey▁(or▁whisky)▁is▁a▁broad▁category▁that▁includes▁various▁styles▁such▁as▁Scotch,▁Irish,▁and▁rye,▁each

what▁are▁different▁types▁of▁phrases model There▁are▁several▁types▁of▁phrases▁in▁English▁grammar,▁including: 1.▁Noun▁Phrase:▁A▁group▁of▁words▁that▁functions▁in▁a▁sentence▁as▁a▁noun.▁Example:▁"The▁quick▁brown▁fox." 2.▁Verb▁Phrase:▁A▁combination▁of▁an▁auxiliary▁verb▁and▁a▁main▁verb▁that▁conveys▁the▁action.▁Example:▁"is▁running." 3.▁Adjective▁Phrase:▁A▁phrase▁that▁functions▁as▁an▁adjective,▁modifying▁a▁noun.▁Example:▁"full▁of▁joy." 4.▁Adverb▁Phrase:▁A▁group▁of▁words▁that▁acts▁as▁an▁adverb,▁modifying▁a▁verb,▁adjective,▁or▁other▁adverb.▁Example:▁"with▁great▁enthusiasm."

Subsample Interval 6

Generate▁a▁python▁code▁for▁linear▁regression model ```python import▁numpy▁as▁np import▁matplotlib.pyplot▁as▁plt from▁sklearn.model_selection▁import▁train_test_split from▁sklearn.linear_model▁import▁LinearRegression #▁Sample▁data X▁=▁np.array([[1],▁[2],▁[3],▁[4],▁[5]]) y▁=▁np.array([2,▁3,▁5,▁5,▁6]) #▁Split▁the▁data▁into▁training▁and▁testing▁sets X_train,▁X_test,▁y_train,▁y_test▁=▁train_test_split(X,▁y,▁test_size=0.2

Create▁a▁Python▁script▁to▁build▁a▁machine▁learning▁model▁to▁predict▁MPG▁from▁an▁auto▁dataset model ```python import▁pandas▁as▁pd import▁numpy▁as▁np from▁sklearn.model_selection▁import▁train_test_split from▁sklearn.linear_model▁import▁LinearRegression from▁sklearn.metrics▁import▁mean_squared_error #▁Load▁dataset data▁=▁pd.read_csv('auto_mpg.csv') #▁Data▁preprocessing data▁=▁data.dropna() X▁=▁data[['cylinders',▁'displacement',▁'horsepower',▁'weight',▁'acceleration',▁'year']] y▁=▁data['mpg'] #▁Split▁the▁data X_train,▁X_test,▁y_train,▁y_

What▁is▁the▁best▁hand▁in▁poker? model The▁best▁hand▁in▁poker▁is▁a▁royal▁flush,▁which▁consists▁of▁the▁Ace,▁King,▁Queen,▁Jack,▁and▁Ten▁of▁the▁same▁suit.▁This▁hand▁is▁unbeatable▁and▁the▁highest-ranking▁hand▁in▁the▁game

is▁IT▁a▁great▁career model Yes,▁IT▁can▁be▁a▁great▁career▁for▁many▁reasons.▁It▁offers▁a▁wide▁range▁of▁opportunities▁in▁various▁fields▁such▁as▁software▁development,▁cybersecurity,▁data▁analysis,▁and▁network▁administration.▁The▁demand▁for▁skilled▁IT▁professionals▁continues▁to▁grow,▁leading▁to▁job▁security▁and▁competitive▁salaries.▁Additionally,▁the▁tech▁industry▁often▁allows▁for▁flexible▁work▁arrangements▁and▁the▁chance▁to▁collaborate▁on▁innovative▁projects.▁For▁those▁with▁a▁passion▁for▁technology▁and▁problem-solving,▁a▁career▁in▁IT▁can▁be▁both▁rewarding▁and▁exciting

Jeremy▁buys▁3▁bags▁of▁chips▁for▁a▁party.▁Stacy▁and▁Emily▁also▁buy▁chips▁for▁the▁party.▁If▁they▁need▁10▁bags▁of▁chips▁total,▁and▁Stacy▁buys▁4▁bags,▁how▁many▁bags▁of▁chips▁should▁Emily▁buy? model Emily▁should▁buy▁3▁bags▁of▁chips

Subsample Interval 7

Generate▁an▁algorithm▁in▁Python▁to▁reverse▁a▁sting model def▁reverse_string(s): ▁▁▁▁return▁s[::-1] #▁Example▁usage input_string▁=▁"Hello,▁World!" reversed_string▁=▁reverse_string(input_string) print(reversed_string

Mrs.▁Anderson▁bought▁2▁bags▁of▁3-pound▁bag▁of▁cat▁food▁and▁another▁2▁bags▁of▁dog▁food▁that▁each▁weigh▁2▁more▁pounds▁than▁each▁bag▁of▁cat▁food.▁There▁are▁16▁ounces▁in▁each▁pound.▁How▁many▁ounces▁of▁pet▁food▁did▁Mrs.▁Anderson▁buy? model Mrs.▁Anderson▁bought▁2▁bags▁of▁cat▁food,▁each▁weighing▁3▁pounds.▁Therefore,▁the▁total▁weight▁of▁the▁cat▁food▁is: 2▁bags▁*▁3▁pounds/bag▁=▁6▁pounds. For▁the▁dog▁food,▁each▁bag▁weighs▁2▁pounds▁more▁than▁the▁cat▁food.▁Since▁each▁bag▁of▁cat▁food▁weighs▁3▁pounds,▁each▁bag▁of▁dog▁food▁weighs: 3▁pounds▁+▁2▁pounds▁=▁5▁pounds. She▁bought▁2▁bags▁of▁dog▁food,▁so▁the▁total▁weight▁of▁the▁dog▁food▁is: 2▁bags▁*▁5▁pounds/bag▁=▁10▁pounds. Now

Train▁a▁Logistic▁Regression▁model▁in▁Python▁on▁a▁dataset▁containing▁5000▁samples▁and▁5▁features model To▁train▁a▁Logistic▁Regression▁model▁in▁Python▁using▁a▁dataset▁with▁5000▁samples▁and▁5▁features,▁we▁can▁follow▁these▁steps▁using▁the▁scikit-learn▁library.▁Below▁is▁a▁sample▁code▁snippet▁to▁demonstrate▁the▁process: ```python import▁numpy▁as▁np import▁pandas▁as▁pd from▁sklearn.model_selection▁import▁train_test_split from▁sklearn.linear_model▁import▁LogisticRegression from▁sklearn.metrics▁import▁accuracy_score,▁confusion_matrix,▁classification_report #▁Generate▁a▁sample▁dataset np.random.seed(0) X▁=▁np.random.rand(500

Create▁a▁Python▁class▁for▁a▁calculator▁that▁can▁add,▁subtract,▁divide▁and▁multiply▁two▁numbers model class▁Calculator: ▁▁▁▁def▁add(self,▁a,▁b): ▁▁▁▁▁▁▁▁return▁a▁+▁b ▁▁▁▁def▁subtract(self,▁a,▁b): ▁▁▁▁▁▁▁▁return▁a▁-▁b ▁▁▁▁def▁multiply(self,▁a,▁b): ▁▁▁▁▁▁▁▁return▁a▁*▁b ▁▁▁▁def▁divide(self,▁a,▁b): ▁▁▁▁▁▁▁▁if▁b▁==▁0: ▁▁▁▁▁▁▁▁▁▁▁▁return▁"Error:▁Division▁by▁zero" ▁▁▁▁▁▁▁▁return▁a▁/

Who▁are▁the▁last▁10▁Masters▁Champions? model 1.▁Scottie▁Scheffler▁(2022) 2.▁Hideki▁Matsuyama▁(2021) 3.▁Dustin▁Johnson▁(2020) 4.▁Tiger▁Woods▁(2019) 5.▁Patrick▁Reed▁(2018) 6.▁Sergio▁Garcia▁(2017) 7.▁Danny▁Willett▁(2016) 8.▁Jordan▁Spieth▁(2015) 9.▁Bubba▁Watson▁(2014) 10.▁Adam▁Scott▁(2013

Which▁one▁is▁more▁popular?▁Soccer▁vs▁Basketball? model Soccer▁is▁generally▁considered▁more▁popular▁than▁basketball▁on▁a▁global▁scale.▁With▁billions▁of▁fans▁and▁a▁widespread▁presence▁in▁nearly▁every▁country,▁soccer▁dominates▁international▁tournaments,▁including▁the▁FIFA▁World▁Cup.▁Basketball,▁while▁immensely▁popular,▁especially▁in▁the▁United▁States▁and▁China,▁has▁a▁smaller▁global▁fanbase▁compared▁to▁soccer

Write▁a▁Python▁program▁to▁create▁a▁singly▁linked▁list model ```python class▁Node: ▁▁▁▁def▁__init__(self,▁value): ▁▁▁▁▁▁▁▁self.value▁=▁value ▁▁▁▁▁▁▁▁self.next▁=▁None class▁LinkedList: ▁▁▁▁def▁__init__(self): ▁▁▁▁▁▁▁▁self.head▁=▁None ▁▁▁▁def▁append(self,▁value): ▁▁▁▁▁▁▁▁new_node▁=▁Node(value) ▁▁▁▁▁▁▁▁if▁not▁self.head: ▁▁▁▁▁▁▁▁▁▁▁▁self.head▁=▁new_node ▁▁▁▁▁▁▁▁▁▁▁▁return ▁▁▁▁▁▁▁▁last_node▁=▁self.head ▁▁▁▁▁▁▁▁while▁last_node.next: ▁▁▁▁▁▁▁▁▁▁▁▁last_node▁=▁last_node.next ▁▁▁▁▁▁▁▁last_node.next▁=▁new_

Who▁was▁the▁first▁president▁of▁the▁United▁States? model The▁first▁president▁of▁the▁United▁States▁was▁George▁Washington

Create▁a▁function▁in▁Python▁for▁computing▁the▁dot▁product▁of▁two▁given▁vectors model ```python def▁dot_product(vector_a,▁vector_b): ▁▁▁▁#▁Ensure▁both▁vectors▁are▁of▁the▁same▁length ▁▁▁▁if▁len(vector_a)▁!=▁len(vector_b): ▁▁▁▁▁▁▁▁raise▁ValueError("Vectors▁must▁be▁the▁same▁length") ▁▁▁▁ ▁▁▁▁result▁=▁0 ▁▁▁▁for▁i▁in▁range(len(vector_a)): ▁▁▁▁▁▁▁▁result▁+=▁vector_a[i]▁*▁vector_b[i]▁▁#▁Multiplying▁elements ▁▁▁▁return▁result #▁Example▁usage:▁ #▁vector_a▁=▁[1,▁2,▁3] #▁vector_

What▁is▁the▁scientific▁formula▁for▁table▁salt? model The▁scientific▁formula▁for▁table▁salt▁is▁NaCl,▁which▁consists▁of▁sodium▁(Na)▁and▁chloride▁(Cl)▁ions