This post is inspired by a great question on the last post! So keep asking great questions and motivate future posts πͺ
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π¨βπ»#NumPy
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π¨βπ»#NumPy
Hi Data Science enthusiasts π
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Today, we are gonna talk about broadcasting in NumPy π’
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Broadcasting is a powerful, useful yet tricky feature in NumPy. If you know it well and use it intentionally, you can simplify a lot of code π
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However, if itβs used by mistake it can create bugs and a lot of headaches π€
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Thatβs because in NumPy, you can easily do operations between matrices even if they donβt have the same shape π
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NumPy βbroadcastsβ the smaller matrix (if valid for the operation) and repeats the operation per element, row, column, etc π€
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In todayβs code snippet, a scalar broadcasts into the same size of a matrix to be subtracted. Similarly, a row and column vector broadcasts into the right shape before getting subtracted!
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Wanna know how? Check out the post!
.π¨βπ»#NumPy
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Today, we are gonna talk about broadcasting in NumPy π’
.
Broadcasting is a powerful, useful yet tricky feature in NumPy. If you know it well and use it intentionally, you can simplify a lot of code π
.
However, if itβs used by mistake it can create bugs and a lot of headaches π€
.
Thatβs because in NumPy, you can easily do operations between matrices even if they donβt have the same shape π
.
NumPy βbroadcastsβ the smaller matrix (if valid for the operation) and repeats the operation per element, row, column, etc π€
.
In todayβs code snippet, a scalar broadcasts into the same size of a matrix to be subtracted. Similarly, a row and column vector broadcasts into the right shape before getting subtracted!
.
Wanna know how? Check out the post!
.π¨βπ»#NumPy
Partitioning is an important technique when you have a large amount of data and like to partition it based on a pivot value. NumPy can do this very efficiently and it leads to some cool applications.
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Wanna know more? Check out the slides!
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π¨βπ»#NumPy
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Wanna know more? Check out the slides!
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π¨βπ»#NumPy
Level up your Python skills with our Telegram channel! ππ₯
Join now for valuable Python insights, tutorials, and community discussions. Let's learn and code together! π»π
https://t.me/+gumUMX-TjOdiOGY0
Join now for valuable Python insights, tutorials, and community discussions. Let's learn and code together! π»π
https://t.me/+gumUMX-TjOdiOGY0
Being fluent in NumPy goes a long way in becoming a data scientist π Today we are taking an important step in that direction! π
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Wanna know more? Check out the slides!
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π¨βπ»#NumPy
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Wanna know more? Check out the slides!
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π¨βπ»#NumPy