# Sample Twitter feed

tweets $=[$

"Happy #IlliniFriday!",

$"$It is a pretty campus, isn't it$,$ #illini?",

"Diving into the last weekend of winter break like... #ILLINI #JoinTheFight",

"Are you wearing your Orange and Blue today, #Illini Nation?"

$]$

# Dictionary to store hashtag counts

hashtag$\_$counts $=\{\}$

# Iterate through each tweet

for tweet in tweets:

# Split the tweet into words

words $=$ tweet.split$()$

# Iterate through the words to find hashtags

for word in words:

# Check if the word starts with a $\text{'}$#$\text{'}$

if word.startswith$(\text{'}$#$\text{'})$:

# Remove special characters and convert to lowercase

hashtag $=$ word.lower$()$

# Update the count in the dictionary

hashtag$\_$counts$[$hashtag$]=$ hashtag$\_$counts.get$($hashtag$,0)+1$

# Sort the dictionary by count $($descending$)$ and then by hashtag $($ascending$)$

sorted$\_$hashtag$\_$counts $=$ sorted$($hashtag$\_$counts.items$(),$ key$=$lambda x: $(-$x$[1],$ x$[0]))$

# Print the sorted hashtag counts

print$($sorted$\_$hashtag$\_$counts$)$