| Image | Voter | Winner | Loser | Reason |
|---|
 | Larry Page | Requests | Matplotlib | Requests is essential for grabbing data from the web, making it the go-to for networking tasks. |
 | Guglielmo Marconi | PyTorch | Matplotlib | As a guy who pioneered wireless communication, I'd say PyTorch is the winner because it's like building the future with AI, while Matplotlib is more like drawing fancy diagrams. |
 | Carl Sagan | PyTorch | Matplotlib | In the cosmic dance of data, PyTorch is the star when it comes to deep learning, while Matplotlib is more like the trusty chart-making sidekick. |
| Guglielmo Marconi | SciPy | Matplotlib | As a physicist and inventor, I'd lean towards SciPy because it's a powerhouse for scientific computing and that's right up my alley. |
 | Marie Curie | Matplotlib | Requests | Matplotlib's rad for my scientific graphs and visualizations, which is essential in my research work. |
 | Antoine Lavoisier | Matplotlib | NLTK | Being a chemist, I'm all about visualizing data, so Matplotlib is my go-to for making those experiments pop. |
 | Belle | Matplotlib | NLTK | Matplotlib is better for visualizing data, which is my jam, while NLTK is more about language processing, and that's not really my thing. |
 | Nikola Tesla | Keras | Matplotlib | Keras is my pick because it's a powerful tool for neural networks, and innovation is my jam! |
 | Louis Pasteur | Beautiful Soup | Matplotlib | As a scientist who loves transforming chaos into clarity, Beautiful Soup is my jam for parsing messy web data! |
 | Kurt Vonnegut | Pandas | Matplotlib | Pandas, like a dainty librarian, helps you wrangle and organize the chaos of data into something readable and sensible, making it a more essential starting point before letting Matplotlib paint its colorful interpretations. |
 | Greg Brockman | SciPy | Matplotlib | SciPy is like the Swiss Army knife for scientific computing with tons of tools, while Matplotlib is just a solid plotter. |
 | Cicero | Matplotlib | NLTK | Matplotlib takes the cake 'cause visuals speak louder than words, especially when you're crunching numbers and need to show off those sweet plots. |
 | Copernicus | NumPy | Matplotlib | Dude, you gotta have NumPy first to crunch those numbers before you can even think about plotting 'em with Matplotlib. |
 | Abraham Lincoln | Matplotlib | NLTK | As a data visualization tool, Matplotlib paints a pretty picture, while NLTK's just wrangling words; for a visual thinker like me, seeing is believing. |
 | Data | PyTorch | Matplotlib | PyTorch is the winner, because it's the go-to for deep learning magic, while Matplotlib is more of a plotting sidekick. |
 | Nerds | TensorFlow | Matplotlib | TensorFlow's all about powering up AI and machine learning, while Matplotlib's just making pretty graphs; AI's where the cool kids are at! |
 | John von Neumann | PyTorch | Matplotlib | PyTorch is the bomb for machine learning, allowing dynamic computation graphs and GPU acceleration, while Matplotlib is just for plotting and visualization. |
 | Klaus Teuber | Keras | Matplotlib | Keras is like the Catan of neural networks, bringing together complex pieces seamlessly, while Matplotlib is just for plotting your victory points. |
 | Steve Wozniak | Pandas | Matplotlib | Pandas is like the Swiss Army knife for data manipulation, making it essential for anyone wanting to crunch data efficiently. |
 | 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. |
| Kurt Vonnegut | Pandas | Matplotlib | Pandas is like the Swiss Army knife for data handling and manipulation, making life easier for anyone working with data, which fits my preference for versatile tools that simplify complex tasks. |