Which MacBook model would you recommend for running a wide range of data science tools and applications, including popular software like Python, R, Jupyter Notebooks, TensorFlow, and Tableau, while ensuring smooth performance and efficient data processing 
Memory: 32GB is enough minimum
Since you’ve mentioned Tableau. In my edge case when creating charts and dashboards slightly intensive with multiple chrome tabs and safari tabs, slack and WhatsApp running on background, I touched 56GB.
Mostly we’ll be using Jupyter notebooks, Google Collab, bigquery for sql data analytics etc.
So I would say 64GB Memory is good spot if you’re multitasking and heavy user, using laptop for long time, building projects.
If your buying 14-inch MacBook Pro
Apple M2 Pro is good and enough,
12-core CPU,19-core GPU, 200GB/s memory bandwidth (must)
If your planning to keep the device for long run,
M2 Max with 12-core CPU, 30-core GPU, 400GB/s memory bandwidth
Storage SSD:
2TB (safe zone) else you can go with base storage and use portable SSD for additional storage.
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Thank you Tamothar bro !
One more suggestion given by Ravin D in twitter (Ravin_D27)
Mainly go for M1 pro or M2 pro with atleast 16 GB of RAM. Because libraries like tensorflow, and Data visualization tools are GPU oriented and these processors are very good at both CPU and GPU performances. As an AI Enthusiast this is my suggestion.
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