World Cup Qualification UEFA 1st Round Group C stats & predictions

Social Media Buzz & Fan Reactions

Social media platforms are abuzz with predictions, fan opinions, and live updates as anticipation builds around Group C’s upcoming fixtures:

• Tweets & Predictions:
  Celebrities along with football pundits share their expert predictions online.
  - Hashtags related #WorldCupQualifiers2026 are trending across platforms.
  - Memes comparing past glory days versus present struggles create engaging content that fans love sharing.
  

Economic Impact & Sponsorship Deals

The economic implications surrounding these qualifiers extend beyond mere ticket sales; sponsorship deals play pivotal roles too:

- Brands align themselves closely with successful teams hoping capitalizing on global visibility offered by World Cup campaigns.
- Merchandise sales see spikes as fans purchase jerseys commemorating qualification milestones.
- Broadcasting rights generate significant revenue streams; hence broadcasters invest heavily ensuring coverage reaches maximum audiences worldwide.

Digital Engagement Strategies by Teams & Clubs

In today’s digital age where fan engagement directly impacts revenue streams through merchandise sales or ticket purchases:

- Teams leverage platforms like Instagram Stories or TikTok challenges encouraging user-generated content around qualifiers’ themes.
- Virtual meet-and-greet events allow fans worldwide access behind-the-scenes footage enhancing fan loyalty.
- Exclusive content like player interviews discussing preparation strategies build anticipation among supporters awaiting results.<|repo_name|>TheSandboxedAI/TheSandboxedAI.github.io<|file_sep|>/input/post/Day_096_What_is_the_difference_between_the__main_..md --- title: "What is the difference between __main__ function?" date: "Tue Oct 25 ,2022" description: "Day_096_What_is_the_difference_between_the__main_.." featured_image: "/images/Day_096_What_is_the_difference_between_the__main_..png" --- # What is the difference between `__main__` function? `__main__` is just like any other function you write yourself inside your python script but its special because its executed only if you run your python script directly instead of importing it from another script. This is useful if you want your python script both as module (something you import) as well as executable (something you run directly). So if you want your script file `my_script.py` behave like module when imported by another script `another_script.py` but behave like executable when run directly from terminal then you need following code structure inside `my_script.py`: python def my_function(): # your code here if __name__ == '__main__': # code here ## Why use this structure? Lets say `my_function()` does something useful like printing `"Hello world"`. Now if you run `my_script.py` from terminal then `"Hello world"` gets printed but if you import `my_script.py` from `another_script.py` then `"Hello world"` doesn't get printed. So now lets say we don't want `"Hello world"` getting printed when we import `my_script.py` but we still want `"Hello world"` getting printed when we run `my_script.py` from terminal. Now we have two options: 1) Either remove `print("Hello world")` statement from `my_function()` completely 2) Use above code structure If we go with option one then our `my_function()` becomes useless because it no longer prints `"Hello world"` even if we run it directly from terminal. But if we go with option two then our `my_function()` remains useful because it still prints `"Hello world"` when we run it directly from terminal. So option two is clearly better than option one. ## How does it work? When python interpreter reads your script file it first executes all top-level code (code not inside any function or class) before executing any function or class definition inside your script file. So when interpreter reads line: python if __name__ == '__main__': # code here It knows that this line is not inside any function or class definition so it executes this line immediately without waiting for any function or class definition inside your script file. And since this line checks if current file name (without extension) matches special variable name `"__main__"` then it only executes code inside this conditional block if current file name (without extension) matches special variable name `"__main__"`. So when you run your script file directly from terminal then current file name (without extension) does match special variable name `"__main__"` so code inside conditional block gets executed but when you import your script file from another script then current file name (without extension) doesn't match special variable name `"__main__"` so code inside conditional block doesn't get executed. ## Example Lets say we have following code inside `my_script.py`: python def my_function(): print("Hello world") if __name__ == '__main__': my_function() Now if we run `my_script.py` from terminal then output will be: bash $ python my_script.py Hello world But if we import `my_script.py` from `another_script.py` then output won't contain `"Hello world"` because code inside conditional block doesn't get executed when we import our script file. So lets say our `another_script.py` contains following code: python import my_script print("This gets printed") Now if we run `another_script.py` from terminal then output will be: bash $ python another_script.py This gets printed Notice how `"This gets printed"` gets printed but `"Hello world"` doesn't get printed even though we imported `my_script.py`. ## Conclusion So now you know why using above code structure inside your python scripts is useful especially when you want your python scripts both as module (something you import) as well as executable (something you run directly). I hope this article was helpful! Thanks for reading!<|file_sep|># Week13 Day2 ### Day11 questions #### Q1 Create a list using list comprehension containing all numbers between x and y which are divisible by z. x = int(input()) y = int(input()) z = int(input()) new_list = [i for i in range(x,y+1) if i%z==0] print(new_list) #### Q2 Using List Comprehension create a list containing all elements which occur exactly once in list 'a'. a = [10,20,30,20,10,50,60,40,80,50] new_list = [i for i in a if a.count(i)==1] print(new_list) #### Q3 Using List Comprehension create a list containing all elements which occur more than once in list 'a'. a = [10,20,30,20,10,50,60,40,80] new_list = [i for i in set(a) if a.count(i)>1] print(new_list) #### Q4 Using List Comprehension create dictionary where keys represent elements occurring more than once and values represent number of times element occurs in list 'a' a = [10,20,30,20,10] new_dict = {i:a.count(i) for i in set(a) if a.count(i)>1} print(new_dict) ### Day12 questions #### Q1 Create dictionary where keys represent element occurring more than once and values represent number of times element occurs in list 'a' a = [10,"hi",30,"hi",10,"bye",40,"bye","bye"] new_dict = {i:a.count(i) for i in set(a) if type(i)!=int} print(new_dict) #### Q2 Create dictionary where keys represent element occurring more than once and values represent number of times element occurs in list 'a' a = [10,"hi",30,"hi",10,"bye",40,"bye","bye"] new_dict = {i:a.count(i) for i in set(a) if type(i)==int} print(new_dict) #### Q3 Using Dictionary Comprehension create dictionary where keys represent element occurring more than once and values represent number of times element occurs in list 'a' a = [10,"hi",30,"hi",10,"bye",40,"bye","bye"] new_dict = {i:a.count(i) for i in set(a)} print(new_dict) #### Q4 Create Dictionary where keys represent words starting with vowel and values represents words starting with consonant using zip() function vowel_words=["apple","egg","ice"] consonant_words=["ball","cat","dog"] new_dict=dict(zip(vowel_words[::2],consonant_words[::2])) print(new_dict)<|file_sep|># Week12 Day5 ### Day39 questions #### Q1 Read n number of strings separated by space using map() function. n=int(input()) string=list(map(str,input().split())) print(string) #### Q2 Read n number of integers separated by space using map() function. n=int(input()) string=list(map(int,input().split())) print(string) #### Q3 Read n number of floating point numbers separated by space using map() function. n=int(input()) string=list(map(float,input().split())) print(string) ### Day40 questions #### Q1 Write Python program to count frequency of characters in string? string="geeksforgeeks" freq={} for i in string: if i not in freq: freq[i]=0 freq[i]+=1 for key,value in freq.items(): print(key,value) #### Q2 Write Python program to find most frequent character? string="geeksforgeeks" freq={} for i in string: if i not in freq: freq[i]=0 freq[i]+=1 max_freq=0 for key,value in freq.items(): if value > max_freq: max_freq=value for key,value in freq.items(): if value==max_freq: print(key) #### Q3 Write Python program remove duplicate characters from string? string="geeksforgeeks" freq={} for i in string: if i not in