7 things about python scipy you must be aware of in 2023?

Scipy is the scientific computation library built on top of NumPy

SciPy stands for Scientific Python and was created by Travis Olliphant.

[{"selector":"#anim-0a6e6dd9-37c7-482a-b579-b53bfa10a242","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-95b62bb6-525b-4ba9-826b-d41614bfa364","keyframes":{"transform":["translate3d(0px, 218.98148%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}]

SciPy is written in python but a few segments are written in C.

[{"selector":"#anim-422a9a79-38af-4934-82bf-90e204cb111d","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-6defe9d2-5ac9-4b35-b32a-e24109627c85","keyframes":{"transform":["translate3d(0px, 222.10650%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}]

SciPy is used to solve complex scientific and mathematical problems.

[{"selector":"#anim-7199e4b7-0ce3-4c24-a10c-fd35454803bc","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a512d5a9-b4dc-4996-88df-439241d7ac5f","keyframes":{"transform":["translate3d(0px, 220.02314%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}]

SciPy can be installed by simply typing the below command

[{"selector":"#anim-800ddfe4-7418-4b29-9834-2e23e0fc6419","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-0d1d7776-9f14-434f-9c71-0839039eb22f","keyframes":{"transform":["translate3d(0px, 264.81481%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a943d1ea-eab8-4f41-9a5e-0ea7ed828483","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a3dc12d9-fc51-45e8-9f99-fb60ae5afdac","keyframes":{"transform":["translate3d(0px, 333.05559%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}]

SciPy library can be imported by typing

[{"selector":"#anim-a49d4cb8-4d63-4c8f-981a-d6bcc08d7c8c","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-ca897ee6-3185-4825-b180-e4b301a11721","keyframes":{"transform":["translate3d(0px, 391.11107%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-9df90a12-d4fd-418a-8fc9-084032d1de33","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-4814e3d9-6b45-40da-af91-dbc3c68c82b4","keyframes":{"transform":["translate3d(0px, 380.63488%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}]

Numpy contains a few functions that are used to resolve the linear algebra, whereas the SciPy library contains a full-featured version.

[{"selector":"#anim-b7d0a50e-ce15-4900-a0a5-4383ace7f4c7","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-68c57b3d-6057-48f9-aacb-8c0b51a6d991","keyframes":{"transform":["translate3d(0px, 141.35165%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}]