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# SciPy Crash Course - Scientific Computing in Python

**[NeuralNine](https://daily.dev/sources/neuralnine)** · 53 min read · 0 upvotes · 0 comments

## Summary

💻️ Need some help with a project or some consulting? Contact me here: https://www.neuralnine.com/services

🐍 The Python Bible Book: https://www.neuralnine.com/books/
💻 The Algorithm Bible Book: https://www.neuralnine.com/books/

Timestamps:
(0:00) Intro
(2:28) Environment Setup
(6:10) Sparse Arrays & Matrices
(11:45) Scientific Constants
(14:10) Linear Algebra
(19:40) Numerical Differentiation & Integration
(24:02) Optimization
(33:51) Interpolation
(35:06) Statistics
(41:51) Fast Fourier Transform (FFT)
(44:55) Spatial Transforms
(49:45) Multidimensional Image Processing
(52:44) Outro

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=tDre3k_ClOo>

---

[View this post on daily.dev](https://daily.dev/posts/scipy-crash-course---scientific-computing-in-python-vmekktywj)

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