#Python | Compressed Sparse Row (CSR) format vs Sparse Matrix | #SparseMatrix #Scipy #Numpy

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RJ Studio’s ONE HUNDREDTH video shows you an efficient way to save a Sparse Matrix: Compressed Sparse Row (CSR) format ✨
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In reality, Sparse Matrix is huge, and most of its elements/values are just zeros. Therefore, storing sparse matrices can consume lots of memory! 😔

One very popular format to efficiently save such data is called Compressed Sparse Row. Check out my video to understand what it is! 🚀

☆ Video Chapters ☆
0:00 Intro
0:42 Pandas Model Data
1:27 Numpy Array
2:05 CSR Format
3:30 Pandas vs CSR vs Sparse
3:47 Outro

The background music is "We Found Love" by Rhianna ^‿^

Hope my video taught you something new!
And feel free to correct me if I made some mistakes in the comments :)

이번 비디오에서는 희소행렬(Sparse Matrix)을 효율적으로 저장할 수 있는 CSR(Compressed Sparse Row)형식에 대한 영상입니다 ≧◡≦
Scipy라는 라이브러리를 사용했습니다!
유익한 정보이길 바랄게요~ 감사합니다.

“In teaching others, we teach ourselves.”

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0:00 Intro
0:42 Pandas Model Data
1:27 Numpy Array
2:05 CSR Format
3:30 Pandas vs CSR vs Sparse
3:47 Outro

RJStudio
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