Man, I am getting more into ML and thinking about PhD, and sometimes when I do math stuff by hand, I want quick validation, and this, this is awesome! Great content!
I love your channel!!! Your content is unique!! Please keep it up!! As a mechanical engineering student learning python by myself, your channel is my biggest source of inspiration and information. Thank you so much 🙏
Dude you're awesome!! Love the intros where you convince us that knowing python is important when we obviously agree. Thank you for the informative videos
I wonder how I managed to pull though my bachelor's degree in mathematics without ever hearing about sympy. This is gold! Thank you for this presentation.
Awesome bro 👍😌👌❤️, I am Learning Data Science & Machine Learning. After completing Calc 1, Calc 2 & Calc 3 on pen & paper I was searching the Calculus concept in python.
Once again, another nice, straightforward, and inspiringly informative video! I learned something new again particularly the .n() method at the end and your use of sympy's Rational() method. I'm actually amazed that sympy was able to do the integrals in this video because in my own experience, sympy was unable to take the inverse laplace transform of not very complicated rationals, like it can take the partial fraction expansion which outputs simple rationals, but it can't get the inverse laplace transform of those! Also, about sympy not giving you the integration constant, the sympy documentation actually says that if you want sympy to yield the integration constant, you reframe the problem as a differential equation problem and then use dsolve which outputs the antiderivative along with the constant. Again, thanks for the awesome python vids! I get motivated to do and enjoy Python ❤️
I'm on my fourth periodo in Eletroninc Engeneering, i failed some subjects, but that's it, and just learned of this in python, the amount of things useful for me that this has is amazing, i believe that from this point onward in my course i will need more complex calculations done faster and sympy or other modules are gonna help me with that
I personally think that python is the best at calculus. Other programming languages like C++ tend to be really difficult to work with. With C or C++ you have to focus more on the programming language itself rather than the actual mathematics itself. Python makes it very easy to solve things like differential equations without much of a hassle. Especially when it comes to libraries like Sympy and Scipy. Even solving a derivative in C++ is very tedious. In python with Sympy, you can find basically every kind of derivative in a couple of lines. Python has been such a useful tool for me when I am trying to model physical systems or working with differential equations.
This is cool but I believe when I tried it - wolfram had actual solving explanation of differential equations at least, like what transformations you apply at any step, and thats pretty cool, helps you understand it actually and not just get an answer. Can sympy do this too?
now, I know there are a lot of people on this who play with code, or play with math, and I just want to say that this kind of content (@Mr. P Solver) helps to make math so much more accessible, and this accessibility can be a game changer for the many many people. Thanks so much for the content, and keep, it coming!!!!
When I run the code why doesn't my Jupyter notebook print the mathematical expressions in this beautiful form instead I get the usual 1/sin(x) type syntax? Any idea anyone?
Buen video crack, sos el mejor!. I have a question, it is possible to define a symbolic function f(x) and then evaluate it at some symbolic point x=a (symbolic) or a numerical point, for example, at x=1?
Sympy's symbolic functions are undefined functions so you can't assign values or expressions to them, but there's still a workaround/solution to your problem. You define a symbolic expression, say, f = sympy.sin(x), and if you want to evaluate it at certain points, symbolic or numeric, you use sympy's subs method. Using my example, you do f.subs(x, a) or f.subs(x, 1). In the case of a numerical point, if you want it to output floating-point values, you use f.evalf( subs = {x:1} ). This is more preferable, more numerically stable, and what the sympy documentation recommends than using evalf immediately after using subs like f.subs(x, 1).evalf(). If you want more information, sympy's documentation is one of your primary resources docs.sympy.org/latest/index.html.
Really nice video. However please note that in the line between 76 and 77 the terms in the sequence are NOT going positive-negative. It is in fact more or less the harmonic series.
Is there a mechanism by which a user can input formulas or equations in native format, and for us to save the same in a database? I have seen MathType, which is very close to what I have in mind, and am yet to figure out how it should sit in the database. Any quick thoughts/pointers?
Ok, but how can i see the math symbols like you, now I'm using replit (online compiler). I'm beginning learning python, so it maybe sounds like a dumb question hehe
i was watching the video without audio, only with the subtitles on. I was wondering why you saying senpai all the times. just watches with audio and realized it was sympy all the time XDXD.
This is pretty impressive. Is there a way to integrate sympy with LaTeX? I mean, I know how to write expressions in LaTeX. Could I use LaTeX to write the Sympy expressions?
Hmm. Says: "I don't like trig functions. It's a complicated relationship between math and me. . . " 🤔 What an odd thing to say. Why not try practicing some Tai Chi? It is filled with Trigonometry and diagonal Vectors defining the Body's proper geometry as outlined in the maker's specifications booklet; so that the whole thing is balanced and no one ends up dragging their knuckles through the dirt due to an acquired office chair imbalance affecting posture and gate. 🤗 This is from an actual 1st-year math paper, exam preparations WAIT (Western Australian Institute of Technology) 13-5-1987: $\int\frac{\sqrt{(9-4x^2)}}{x}dx$ = $3\int cosec(\alpha)-sin(\alpha)\enspace d\alpha}$ using the trigonometric method. Now have a look at what SymPy comes up with, innately bypassing lengthy but tidy trigonometric substitutions : sp.integrate(sp.sqrt(9-4*x**2)/x) 😉
And this is the lad I hangout with everyday. 10/10 content m8
Literally the thing I was looking for 🥰
Man, I am getting more into ML and thinking about PhD, and sometimes when I do math stuff by hand, I want quick validation, and this, this is awesome! Great content!
I love your channel!!!
Your content is unique!!
Please keep it up!!
As a mechanical engineering student learning python by myself, your channel is my biggest source of inspiration and information.
Thank you so much 🙏
Amazing video. You have inspired me to code and continue to learn Calculus. I was about to give up, after 30+ yrs of frustration. Thank you.
this is the channel that i've always dreamed of.Excellent content!!!
@Ali Burak Ahahaha haklı olabilirsiniz 😂 Ya da belki İngilizce yorum yapmaya çekiniyoruzdur.
@Ali Burak Kesinlikle :) Size de iyi günler
Dude you're awesome!!
Love the intros where you convince us that knowing python is important when we obviously agree.
Thank you for the informative videos
I’m a geologist & this has helped me a lot. Thanks 🙏
You are very great person for providing this tutorial totally for free
+ It is great cuz this math-physics-programming content is really rare
I wonder how I managed to pull though my bachelor's degree in mathematics without ever hearing about sympy. This is gold! Thank you for this presentation.
I am retired mining engineer from Mongolia and your videos helped me to improve my knowledge in python usage for mineral processing modelling.
as a culculus enthusiast, this a good way to learn python
Awesome! Thank you very much for this content! More stuff on Sympy please!
Oh, how I wish this video existed 13 years ago!
Awesome. All your contents are unique comparing to several you tubers on Python. interesting.
I wonder why can not get tens of thousands subscribers.
Give it some time, I'm only 4 months old ;)
Good and informative channel. Being a engineering student, its really useful. Thanks.
Great video, greetings from Brazil
Holy hell, this is life-saving content dude! I've got a very intimidating job that I'm studying for and this is exactly what I need.
Awesome bro 👍😌👌❤️, I am Learning Data Science & Machine Learning. After completing Calc 1, Calc 2 & Calc 3 on pen & paper I was searching the Calculus concept in python.
Once again, another nice, straightforward, and inspiringly informative video! I learned something new again particularly the .n() method at the end and your use of sympy's Rational() method. I'm actually amazed that sympy was able to do the integrals in this video because in my own experience, sympy was unable to take the inverse laplace transform of not very complicated rationals, like it can take the partial fraction expansion which outputs simple rationals, but it can't get the inverse laplace transform of those!
Also, about sympy not giving you the integration constant, the sympy documentation actually says that if you want sympy to yield the integration constant, you reframe the problem as a differential equation problem and then use dsolve which outputs the antiderivative along with the constant.
Again, thanks for the awesome python vids! I get motivated to do and enjoy Python ❤️
Loved your contents!
Can you make a video on solving Partial Differential equations of order 2 (or more) with Python?
Excellent tutorial about the practical use of Sympy.
This lad is the type of person whom I hang out and philosophy with. Keep it up pal! U r gr8! 😎👌
Best course ever!! Can you possibly do Calculus Year 3? I assume you plan on doing that too. This is what I've been waiting for a long long time.
Such a wonderful idea and neat explanation, Thank you very much
Lots of love from Eastern Europe!
Layed it out so nicely thanks a lot :D
Hey, I very much love your channel and it makes me python lover!
Yo this dude made nerdy stuff cool
"you don't wanna spend hours writing by hand"
That's what I have to do everyday as a mathematics student xD but you get used to it
Amazing video. You have inspired me to code and continue to learn Calculus
Holy crap!, if I had had this tool when I was in the university, I would have been at NASA instantly!. Thanks for sharing.
I'm on my fourth periodo in Eletroninc Engeneering, i failed some subjects, but that's it, and just learned of this in python, the amount of things useful for me that this has is amazing, i believe that from this point onward in my course i will need more complex calculations done faster and sympy or other modules are gonna help me with that
Sympying my ride! Great work! +1sub
Sublime, this is perfect.
😂😂😂😂The song at the beginning inspired me. In fact, it earned you 1 big fan🥳🥳
This is really good content.
Greetings from 🇧🇷.
Thanks for this, a nice refresher
Thanks for this video. My University uses MATLAB and we get free access, but I do a lot of data stuff in Python and prefer Python.
Matlab is amazing…if you can afford it 😆
“It’s a complicated relationship between math and me but alas” 14:10 … never felt words any more than those
I personally think that python is the best at calculus. Other programming languages like C++ tend to be really difficult to work with. With C or C++ you have to focus more on the programming language itself rather than the actual mathematics itself. Python makes it very easy to solve things like differential equations without much of a hassle. Especially when it comes to libraries like Sympy and Scipy. Even solving a derivative in C++ is very tedious. In python with Sympy, you can find basically every kind of derivative in a couple of lines. Python has been such a useful tool for me when I am trying to model physical systems or working with differential equations.
This video is fantastic, why didn’t this get recommended to me before?
This is cool but I believe when I tried it - wolfram had actual solving explanation of differential equations at least, like what transformations you apply at any step, and thats pretty cool, helps you understand it actually and not just get an answer. Can sympy do this too?
Thank you very much! :)
Doing the final sum number 80 by hand using Fourier series, it is equal to pi^2/3 - pi/2 + 1/4.
Love your vids keep it up!
Brilliant explanation! Appreciate!
I was really hoping the class was like the intro song … all sing along lesson
Thank you for making simple and intersting
Great content.
Thank you very much for this nice tutorial.!!!!
you earned a new subscriber
Sympy you gotta do it :D
now, I know there are a lot of people on this who play with code, or play with math, and I just want to say that this kind of content (@Mr. P Solver) helps to make math so much more accessible, and this accessibility can be a game changer for the many many people. Thanks so much for the content, and keep, it coming!!!!
When I run the code why doesn't my Jupyter notebook print the mathematical expressions in this beautiful form instead I get the usual 1/sin(x) type syntax? Any idea anyone?
What a banger vid, brotha!
Truly fascinating...
1:00 - The image of a legend.
THE most informative video online
This is just perfect 💯
This video is really awesome
The content is excellent
Thank you so much sir☺
Awesome video!
This guy is like an angel from the fucking sky
woah ! Great content man.
Also your dissstracks🤣
Wonderful
if they don't play this intro rap song in my wedding, I'll riot!
thanks
amazing stuff. thanks you!
I feel like I've evolved to a higher being. Galaxy brain.
With this video you probably saved my degree ^^
Buen video crack, sos el mejor!.
I have a question, it is possible to define a symbolic function f(x) and then evaluate it at some symbolic point x=a (symbolic) or a numerical point, for example, at x=1?
Sympy's symbolic functions are undefined functions so you can't assign values or expressions to them, but there's still a workaround/solution to your problem. You define a symbolic expression, say, f = sympy.sin(x), and if you want to evaluate it at certain points, symbolic or numeric, you use sympy's subs method. Using my example, you do f.subs(x, a) or f.subs(x, 1). In the case of a numerical point, if you want it to output floating-point values, you use f.evalf( subs = {x:1} ). This is more preferable, more numerically stable, and what the sympy documentation recommends than using evalf immediately after using subs like f.subs(x, 1).evalf(). If you want more information, sympy's documentation is one of your primary resources docs.sympy.org/latest/index.html.
Really nice video. However please note that in the line between 76 and 77 the terms in the sequence are NOT going positive-negative. It is in fact more or less the harmonic series.
thanks this is great
God explanation bro. really enjoy your tutorial.
Is there a mechanism by which a user can input formulas or equations in native format, and for us to save the same in a database? I have seen MathType, which is very close to what I have in mind, and am yet to figure out how it should sit in the database. Any quick thoughts/pointers?
Epic video!!
your channel's the best
This is amazing!
Quality content🤩🤩🤩🤩🤩
damn that song was superb
Bro, I’m in modern differential equations, this is going to save me haha 😂 I forgot a lot of first year calc abha
Is there a technical explanation for why "integrate" is lower case and "Sum" is Capitalized?
IMO, nobody should be paying such a ridiculous amount of money for Mathematica when there are such good free and open source alternatives.
Great vid!
24:05 its not “arctan”, its “cotangent”. 🙂
If I'm using Pycharm is there a way for the output to be rendered in Latex?
Hey, what is the difference using "import sympy as smp" and "from sympy import *". Thansk for your reply and grettings from Perú.
Ok, but how can i see the math symbols like you, now I'm using replit (online compiler). I'm beginning learning python, so it maybe sounds like a dumb question hehe
Thx men, what a legend
Amazing. *You* really think that *you're* solving the problem.
What do you mean?
@Andrea-gb9qc you demonstrated how to use a tool that provides an answer to the statement. You didn't use brain power to solve the problem.
Nice beats.
do you have videos on portfolio optimization/management and data science in general?
But can you put this on a TI nspire cx 2…not the CAS version?
i was watching the video without audio, only with the subtitles on. I was wondering why you saying senpai all the times. just watches with audio and realized it was sympy all the time XDXD.
There i am .
Chapter 2: SENPAI 😆
This is pretty impressive. Is there a way to integrate sympy with LaTeX? I mean, I know how to write expressions in LaTeX. Could I use LaTeX to write the Sympy expressions?
Intro song was when youtube peaked
Hmm. Says: "I don't like trig functions. It's a complicated relationship between math and me. . . " 🤔
What an odd thing to say.
Why not try practicing some Tai Chi?
It is filled with Trigonometry and diagonal Vectors defining the Body's proper geometry as outlined in the maker's specifications booklet;
so that the whole thing is balanced and no one ends up dragging their knuckles through the dirt due to an acquired office chair imbalance affecting posture and gate. 🤗
This is from an actual 1st-year math paper, exam preparations WAIT (Western Australian Institute of Technology) 13-5-1987:
$\int\frac{\sqrt{(9-4x^2)}}{x}dx$ = $3\int cosec(\alpha)-sin(\alpha)\enspace d\alpha}$ using the trigonometric method.
Now have a look at what SymPy comes up with, innately bypassing lengthy but tidy trigonometric substitutions :
sp.integrate(sp.sqrt(9-4*x**2)/x) 😉
What is your opinion on people saying that calculus is debunked and is a hoax?
How to get colored functions? For instance, smp.diff is all black for me.