Learn Pandas in 30 Minutes - Python Pandas Tutorial
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Top Comments (10)
Visit https://postmarkapp.com/lp/tech-with-tim and use coupon code TECHWITHTIM to get 20% off any plan for three months.
I finally understand what a Jupyter notebook is useful for.
In short time, i learn dataframe, series, head, tail, info, describe, columns, conditions, find and replace, groupby, sort and much more. Now feeling pandas guru
I cannot thank you enough for this video, you are a life savior
Nice tutorial! Just want to say that `inplace` is deprecated and shouldn’t be used. There are a lot of reasons to avoid it. Only use assignment (e.g. df = df.drop(...)) instead. It’s clearer, more consistent, and plays better with method chaining and debugging.
VERY Good tutorial! I've been studying this exact thing for a week through my school and your 30 minute tutorial covered 90% of it and was much easier to understand! Thanks!!
would love a video about plotting/graphing in pandas. potentially also where it is better to use other libraries in conjunction with pandas like matplot or sns
Awesome intro! Now we need a more detailed, 3h video
exactly what i needed right now. thank you tim!
Thanks a lot we want more vedios on python library like this you covered pandas next go for matplotlib then sklearn and gradually go ahead this will be genuinely useful for students like me and your teaching is easier to remember compared to other platforms
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Top Comments (10)
Visit https://postmarkapp.com/lp/tech-with-tim and use coupon code TECHWITHTIM to get 20% off any plan for three months.
I finally understand what a Jupyter notebook is useful for.
In short time, i learn dataframe, series, head, tail, info, describe, columns, conditions, find and replace, groupby, sort and much more. Now feeling pandas guru
I cannot thank you enough for this video, you are a life savior
Nice tutorial! Just want to say that `inplace` is deprecated and shouldn’t be used. There are a lot of reasons to avoid it. Only use assignment (e.g. df = df.drop(...)) instead. It’s clearer, more consistent, and plays better with method chaining and debugging.
VERY Good tutorial! I've been studying this exact thing for a week through my school and your 30 minute tutorial covered 90% of it and was much easier to understand! Thanks!!
would love a video about plotting/graphing in pandas. potentially also where it is better to use other libraries in conjunction with pandas like matplot or sns
Awesome intro! Now we need a more detailed, 3h video
exactly what i needed right now. thank you tim!
Thanks a lot we want more vedios on python library like this you covered pandas next go for matplotlib then sklearn and gradually go ahead this will be genuinely useful for students like me and your teaching is easier to remember compared to other platforms