SymPy (Symbolic Expressions on Python) | The Linear Algebra Edition | Python # 16

[@waylonmurley2328]

This is by far one of the best SymPy tutorials.

[@danmcgloven8169]

Best professor on mother earth.

[@markusjoseph4264]

This lecture is also useful for linear algebra students !

[@howardkeeling6083]

Where is Ahmad originally from ?

[@rahuls155]

🇫🇷🇱🇧

[@debrareese3615]

Lebanon

[@baileykaterina1343]

USA 🇺🇸

[@loretteisley9775]

Lebanon

[@sammybags]

Liban !!

[@The50sek]

Your Python series is outstanding may I say

[@stephanielowe890]

Ahmad is very underrated.

[@AzianKarla]

Ahmad is the best !

[@chantellerocco4282]

is doing all this work.

[@ariannaaaliyah8149]

This is by far the best lecture on SymPy.

[@ambrosekidder1124]

You've just gained yourself a new fan

[@stacygoodloe505]

Please do one on pytorch.

[@ofeliaintothewild7767]

SO far Ahmad took all comments into account and produced lectures based off wish UA-cam could see how underrated he is.

[@2011samtt]

hello

[@hannahbarnette8207]

python is better than c++

[@jamesijames8712]

pytorch is not that good from my knowledge

[@1943mimmo]

He will do it just because you asked for it.

[@второйканал-т6т]

Without a library, you cannot study more than one science and such a library is very relevant ...

[@olivafouch1821]

*What is up you guys*

[@kennethpaul9839]

This guy is criminally underrated by UA-cam

[@juliandrager5469]

Thank you made sympy easier for me.

[@jarrodbickers9319]

Perfect tutorial 👍🏻

[@dirksheeley6045]

God bless this tutorial professor 🙏🏻

[@lovielutterman2403]

Wonderful lesson Ahmad, thanks for sharing.

[@dalilahabib596]

Very amazing explanations Ahmad !

[@aishahoura2619]

Outline:
​
​@ Introduction
@ Setting Jupyter
@ Matrix Creation
@ Matrix-Vector Product
@ Matrix Addition
@ Matrix-Matrix Product
@ Matrix Scaling
@ Power of Matrices
@ Matrix Inversion
@ Matrix Determinant
@ Matrix Transposition
@ Accessing Rows and Columns
@ Deleting Rows and Columns
@ Inserting Rows and Columns
@ Identity Matrix
@ Zeros Matrix
@ Ones Matrix
@ Matrix Dimensions
@ Diagonal Matrix
@ Block Diagonal Matrix
@ Reduced Row Echelon Form (rref)
@ Null Space
@ Column Space
@ Eigenvalues & Algebraic Multiplicity
@ Eigenvectors
@ Diagonlization: Eigen Value Decomposition
@ Characteristic Polynomial
@ LU Decomposition
@ Check if Echelon
@ Summary
@ Outro

[@breeglantz1089]

Thx for sharing the course outline

[@raymundorussell6508]

Thank you for all the sympy content sir.

[@sharialls1514]

Amazing man, I'm going to try out sympy 👍🏻

[@gretastrollo4719]

Very good lecture, quick question: can you do a latex tutorial ?

[@galabaumgarten7814]

Thank you Dr.

[@alejandrofontanez6400]

Great lesson dr ahmad

[@robinlarrimore4117]

Yeey another lecture !

[@danwalls6210]

Thanks for another great tutorial sir.

[@rosalinespohn2382]

Can you please take duffing nonlinear systems ?

[@lizettewalker2560]

Awesome lesson.

[@alexandrgorshunov5514]

Спасибо за видео!

[@aupdleyswancog7498]

Really super great lecture

[@laurihoxie381]

Love your intro 👍🏻

[@husnubulgan5594]

Thanks Ahmad😍

[@okeefesschroock7200]

Thank you so much !

[@melissiasoderberg7379]

Is it possible to solve this with a step by step solution? Like Wolfram Alpha does?

[@AhmadBazzi]

Yes of course.

[@luccacarbone3145]

Thank you super helpful

[@georgettefinan2185]

Thanks sir 👍🏻

[@jolandaruano5797]

This looks like a linear algebra course !

[@sharenbare634]

Great tutorial going

[@AhmadBazzi]

Glad you think so!

[@АндрейДуст]

Perfect

[@norbertodates6385]

Love from *India* 🇮🇳

[@AhmadBazzi]

Thank you from France !

[@petrglazov7000]

working

[@СергейБездушный-д4х]

супер

[@pranavmaurice8443]

USA 🇺🇸

[@СергейФролов-д6и4т]

Круто

[@zackeryulysses6488]

👍🏻

[@deborahbridget4518]

He's American !!

[@darcelklahn5908]

Did you know: *SymPy is written entirely in Python*

[@osma975]

copate

[@kiario2478]

9999

[@Tseng64]

Italian 🇮🇹

[@krystiankowalski9976]

🇮🇹🇮🇹🇮🇹🇮🇹

[@Николаев-и7т]

.......

[@СергейШижгалев-ж9э]

:)

[@АндрейТерентьев-с7с]

This is by far one of the best SymPy tutorials.