Uses Python Uses PyCharm Uses Jupyter Has never used git Studied/studies data science Prefers tensorflow to pytorch Prefers pytorch to tensorflow Prefers matplotlib to ggplot Prefers MacOS Prefers pytorch to tensorflow Did/Does not study data science Has used reinforcement learning Prefers ggplot to matplotlib Uses PyCharm Has used a transformer Prefers matplotlib to ggplot Has used a convolutional NN Uses Python Prefers MacOS Still uses python 2 Prefers Linux Uses >4 programming languages Uses >4 programming languages Still uses python 2 Did/Does not study data science Uses Jupyter Uses R- Studio Uses Spyder Studied/studies data science Uses R Uses R- Studio Has used a transformer Prefers Windows Prefers Linux Uses R Speaks >4 natural languages Has used a convolutional NN Speaks >4 natural languages Uses Spyder Has been to a data science conference Has never used git Knows Bayes theorem off the top of their head Prefers ggplot to matplotlib Has used reinforcement learning Prefers Windows Prefers tensorflow to pytorch Knows Bayes theorem off the top of their head Has been to a data science conference Uses Python Uses PyCharm Uses Jupyter Has never used git Studied/studies data science Prefers tensorflow to pytorch Prefers pytorch to tensorflow Prefers matplotlib to ggplot Prefers MacOS Prefers pytorch to tensorflow Did/Does not study data science Has used reinforcement learning Prefers ggplot to matplotlib Uses PyCharm Has used a transformer Prefers matplotlib to ggplot Has used a convolutional NN Uses Python Prefers MacOS Still uses python 2 Prefers Linux Uses >4 programming languages Uses >4 programming languages Still uses python 2 Did/Does not study data science Uses Jupyter Uses R- Studio Uses Spyder Studied/studies data science Uses R Uses R- Studio Has used a transformer Prefers Windows Prefers Linux Uses R Speaks >4 natural languages Has used a convolutional NN Speaks >4 natural languages Uses Spyder Has been to a data science conference Has never used git Knows Bayes theorem off the top of their head Prefers ggplot to matplotlib Has used reinforcement learning Prefers Windows Prefers tensorflow to pytorch Knows Bayes theorem off the top of their head Has been to a data science conference
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
Uses Python
Uses PyCharm
Uses Jupyter
Has never used git
Studied/studies data science
Prefers tensorflow to pytorch
Prefers pytorch to tensorflow
Prefers matplotlib to ggplot
Prefers MacOS
Prefers pytorch to tensorflow
Did/Does not study data science
Has used reinforcement learning
Prefers ggplot to matplotlib
Uses PyCharm
Has used a transformer
Prefers matplotlib to ggplot
Has used a convolutional NN
Uses Python
Prefers MacOS
Still uses python 2
Prefers Linux
Uses >4 programming languages
Uses >4 programming languages
Still uses python 2
Did/Does not study data science
Uses Jupyter
Uses R-Studio
Uses Spyder
Studied/studies data science
Uses R
Uses R-Studio
Has used a transformer
Prefers Windows
Prefers Linux
Uses R
Speaks >4 natural languages
Has used a convolutional NN
Speaks >4 natural languages
Uses Spyder
Has been to a data science conference
Has never used git
Knows Bayes theorem off the top of their head
Prefers ggplot to matplotlib
Has used reinforcement learning
Prefers Windows
Prefers tensorflow to pytorch
Knows Bayes theorem off the top of their head
Has been to a data science conference