mirror of
https://github.com/kamranahmedse/developer-roadmap.git
synced 2026-09-24 15:00:31 +08:00
Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
9 lines
709 B
Markdown
9 lines
709 B
Markdown
# Array Operations
|
|
|
|
NumPy supports a wide range of array operations: element-wise arithmetic, aggregation functions (`sum`, `mean`, `std`, `min`, `max`), reshaping, stacking, and splitting. These operations are vectorized, meaning they apply to the entire array at once without explicit loops, making them highly efficient.
|
|
|
|
Visit the following resources to learn more:
|
|
|
|
- [@article@NumPy Arithmetic Array Operations](https://www.programiz.com/python-programming/numpy/basic-array-operations)
|
|
- [@article@Doing Math with Arrays](https://towardsdatascience.com/introducing-numpy-part-4-doing-math-with-arrays-5e77ac595641/)
|
|
- [@video@Ultimate Guide to NumPy Arrays](https://www.youtube.com/watch?v=lLRBYKwP8GQ) |