| Image | Voter | Winner | Loser | Reason |
|---|
 | John von Neumann | TensorFlow | Beautiful Soup | As a mathematician and computer scientist, I'd pick TensorFlow for its powerful capabilities in machine learning and numerical computations, which align more with my kind of game. |
 | Charles Darwin | Keras | Beautiful Soup | Keras is like evolution on steroids for deep learning, while Beautiful Soup is just a neat little tool for scraping the web; it's like comparing apples to aardvarks. |
 | Archimedes | Pandas | Beautiful Soup | Pandas is the boss when it comes to data crunching and analysis, whereas Beautiful Soup is more like the friendly sidekick for web scraping. |
 | Pythagoras | Requests | Beautiful Soup | Requests is the bomb for making HTTP requests, while Beautiful Soup is cool for parsing HTML; if I gotta choose, Requests is my jam for kicking off the whole process. |
 | Professor Farnsworth | PyTorch | Beautiful Soup | Good news, everyone! PyTorch, with its wondrous deep learning capabilities, is like the Professor's futuristic inventions - powerful and cutting-edge, while Beautiful Soup is more for scraping the web, akin to collecting old newspapers for fun. |
 | Leonardo da Vinci | Requests | Beautiful Soup | Requests is all about grabbing data from the web, while Beautiful Soup just makes it look pretty – I need that data first, so Requests takes the cake! |
 | Charles Babbage | Pandas | Beautiful Soup | Pandas is like a Swiss army knife for data manipulation, while Beautiful Soup is more of a scalpel for web scraping, so for the all-around data wrangling, Pandas takes the crown. |
 | George Orwell | Pandas | Beautiful Soup | Pandas is the powerhouse for data manipulation, just like Big Brother is for surveillance, it's all about efficiency and control. |
 | Buckminster Fuller | NLTK | Beautiful Soup | When it comes to processing natural language, NLTK's the bee's knees, mate, since it's tailor-made for text analysis, while Beautiful Soup's more of a web-scraping ninja. |
 | Socrates | SciPy | Beautiful Soup | SciPy's got the chops for math-heavy lifting, while Beautiful Soup's for when you're in a tangled web. |
 | Louis Pasteur | Beautiful Soup | Matplotlib | As a scientist who loves transforming chaos into clarity, Beautiful Soup is my jam for parsing messy web data! |
 | Nerds | PyTorch | Beautiful Soup | PyTorch is the big boss for deep learning, while Beautiful Soup's just chillin' with web scraping. |
 | Pliny the Elder | TensorFlow | Beautiful Soup | TensorFlow's got the muscle for heavy-duty machine learning, while Beautiful Soup is more of a niche player for web scraping. |
 | Guglielmo Marconi | Requests | Beautiful Soup | As a radio pioneer who loves efficient communication, I'd say Requests is where it's at for its clean, hassle-free way to fetch data from the web, like tuning into the right frequency. |
 | Greg Brockman | Beautiful Soup | NLTK | Beautiful Soup's your go-to ninja for scraping and parsing HTML, while NLTK's more of a linguistics geek—pick the right tool for the job, eh? |
 | Claude Shannon | Keras | Beautiful Soup | Keras is my jam because it's all about building and tuning neural networks, which is right up my alley. |
 | David Macaulay | Pandas | Beautiful Soup | For data manipulation and analysis like a pro, Pandas is the powerhouse you want on your team. |
 | Richard P Feynman | NumPy | Beautiful Soup | Well, if you're crunching numbers and doing serious computation, NumPy's your pal; it's like the Swiss Army knife for numerical data! |
 | David Foster Wallace | Requests | Beautiful Soup | Requests is like the Swiss Army knife for handling HTTP operations with ease, while Beautiful Soup is more like the magnifying glass you need afterward. |
 | Stephen Hawking | Requests | Beautiful Soup | Requests is like the smooth-talking diplomat of the HTTP world, making fetching web content effortless, while Beautiful Soup is the meticulous librarian you need once you've got that content. |
 | Marie Curie | Keras | Beautiful Soup | As a scientist deeply involved in data analysis and modeling, Keras is the tool of choice for building complex neural networks, which aligns with my passion for uncovering the mysteries of nature. |
 | Neal Stephenson | NumPy | Beautiful Soup | NumPy's the Swiss Army knife for number-crunchers, while Beautiful Soup's more like a specialist scalpel for web scraping. |
 | Professor Frink | Beautiful Soup | NLTK | Oh, why, Beautiful Soup is the go-to choice for web scraping and parsing HTML, while NLTK is more for language processing, so it really depends what ya need, but if it's HTML you're wrangling, stick with the Soup, m-hoy! |
| Archimedes | TensorFlow | Beautiful Soup | TensorFlow's got that machine learning muscle, while Beautiful Soup is just for scraping; different leagues, mate! |
 | Jensen Huang | Beautiful Soup | NLTK | Beautiful Soup is the go-to for web scraping, while NLTK is all about natural language processing, and since Jensen didn't build GPUs for text adventures, I'm all about that web data hustle. |
 | Lonnie Johnson | Matplotlib | Beautiful Soup | As an engineer and inventor, I'm all about visualizing and understanding data, so Matplotlib wins for turning numbers into stories. |
| Greg Brockman | PyTorch | Beautiful Soup | PyTorch is like the rockstar of deep learning, making crazy complex models way easier to handle. |
 | Kurt Vonnegut | Beautiful Soup | TensorFlow | Beautiful Soup's got that whimsical name and lets you dig into web stuff like a curious cat, which suits a storyteller's soul better than TensorFlow's heavy-duty number crunching. |