I have been using WxMaxima for my symbolic calculations for a while now. The good thing about WxMaxima is that you can get formatted outputs right in the program and then export them to LaTeX format with a click of the mouse.
Now I want to try the Jupyter/Ipython plus sympy for multiple reasons. I know how to use display(Math(r' some LaTeX math here ')) but what I want is to have the result/output of a cell in a nice mathematical form; something like the TraditionalForm[] command in Mathematica.
I would appreciate if you could help me know if/how I can get that right in a Jupyter notebook?
I think I found the proper solution and it is a sympy feature rather than Jupyter/IPython one. As explained here:
If all you want is the best pretty printing, use the init_printing() function. This will automatically enable the best printer available in your environment.
and
In the [Jupyter/]IPython notebook, it will use MathJax to render LATEX.
Then one can right click on the output and select Show Math As > Tex commands:
to get the LaTeX output.
P.S. A more proper formatting can be achieved via galgebra library. I will look into that and add it here later.
Related
When I am writing math equations in a markdown cell of a jupyter notebook, I casually put all of that in $ ... $. Today, I converted an .ipynb file to .tex, and realized most of these equations are converted into messy stuff in the output pdf. For instance, I realized it is converting all '$'s into '$'s.
This is an example of what has happened:
Jupyter Notebook markdown:
$ \nabla ^{2} f(x) = \frac{-1}{(x+1)^{2}} $
Tex Output:
\$ \nabla \^{}\{2\} f(x) = \frac{-1}{(x+1)^{2}} \$
Does anyone have any ideas why this is happening? Is there a better way to write down in-line math equations so that it is more compatible with LaTeX?
If you are eventually going to LaTeX version, the traditional advice is spelled out in minrk's comment from November 8 of 2012:
"The best solution for that right now would be to use 'raw' cells instead of markdown, and just type LaTeX as you would. Then use nbconvert to turn the ipynb to TeX (code, figures and all), and run latex to render that to PDF, etc. You don't get live-rendered TeX in the browser like you do with MathJax / Markdown, but you do still have TeX / code in one document."
The step where you are converting now is probably using nbconvert under the hood even if you aren't directly. (You may be using it directly since you tagged with 'nbconvert`.)
Alternatively, if you are going to LaTeX ultimately, you may want to use a code cell and use the LaTeX magic cell line at the start of that cell. See here and here about %%latex cell magic. (You'll note it is also mentioned among the StackOverflow thread I referenced earlier.) In regards to the %%latex cell magic, I suggest actually consulting the link that leads use in an example notebook in this post because it seems it has to be full-blown LaTeX code and not just simple equations that work easily elsewhere with just dollar signs bracketing them, i.e., MathJax.
I tried that option with your equation and when I output the notebook as LaTeX, I didn't see additional backslashes added. (I didn't however actually try rendering the LaTeX, and so I cannot address if all the cruft/boilerplate that Jupyter is adding causes any issues for downstream useability.)
This is my first time using R so this is about as basic of a question as they come.
I am making a presentation using markdown (ioslides). I want to do something very simple which is to put something in superscript. According to the manual, the syntax is the following:
Lower bound = α^Full – K^ - α^Full^
The first time I tried running this, I got a pop-up screen with some options. Too quickly, I pressed enter and inadvertently chose something. Now the syntax won't run and I can't figure out what I did to undo it.
Can someone help? Thank you in advance.
Markdown allows HTML to be used if necessary, so you should be able to use the HTML sup tag.
After finishing statistical analysis in R I always like to print out the script since it gives a good overview and one can adjust eventual errors. I like the syntax highlighting in R-Studio because it facilitates reading and fast understanding within huge lines of code. So is there anyway I can print out the text with the highlighting I am used to see in the editor?
Try using knitr to produce a pdf (or some other output).
As I am using Mathematica a lot I got the idea to write a small and free CAS which just exposes a very small subset of necessary functions and packages to be used and I want to present the results in an appropriate way to the user like Mathematica does (ignore the Facebook logo in the background :D ):
My first idea was to create LaTeX code in the background and to pdflatex the source and include the PDF then in the view... however this seems way to much overkill! I want to write this CAS either in C++ or C# and I want to know if there are any recommended solutions to output nice formula like that.
My first thought was a "real-time formula editing view" but it would be ok to have an input box to enter the commands and formulas and the upper view just to be uneditable output.
A few ways come to my mind.
Use LaTeX behind the scenes to typeset equations, as you say. Again, Cadabra does this.
Use TeXmacs as the front end. Cadabra does this.
Use MathJax. This is a javascript framework which renders TeX equations to images or MathML. It's very easy to use it if you have a HTML view in your UI toolkit. MathJax is used in the sister site MathOverflow, for example.
I find the route 3 is the most attractive.
For calling LaTeX in the background, don't use pdflatex, but use the non-PDF latex to produce a DVI file, and convert it then to PNG with dvipng.
Have a look at the preview package or the standalone class to get the output in the right size (i.e. only the formula, not a whole page).
Has anyone managed to get color syntax-highlighting working in the output of Sweave documents? I've been able to customize the output style by adding boxes, etc. in the Sweave.sty file as follows:
\DefineVerbatimEnvironment{Sinput}{Verbatim}{fontseries=bc,frame=single}
\DefineVerbatimEnvironment{Soutput}{Verbatim}{frame=leftline}
\DefineVerbatimEnvironment{Scode}{Verbatim}{fontseries=bc}
And I can get the minted package to do syntax highlighting of verbatim-code blocks in my document like so:
\begin{minted}{perl}
use Foo::Bar;
...
\end{minted}
but I'm not sure how to combine the two for R input sections. I tried the following:
\DefineVerbatimEnvironment{Sinput}{minted}{r}
\DefineVerbatimEnvironment{Scode}{minted}{r}
Any suggestions?
Yes, look at some of the vignettes for Rcpp as for example (to pick just one) the Rcpp-FAQ pdf.
We use the highlight by Romain which itself can farm out to the hightlight binary by Andre Simon. It makes everything a little more involved---Makefiles for the vignettes etc pp---but we get colourful output from R and C/C++ code. Which makes it worth it.
I have a solution that has worked for me, I have not tried it on any other systems though so things may not work out of the box for you. I've posted some code at https://gist.github.com/797478 that is a set of modified Rweave driver functions that make use of minted blocks instead of verbatim blocks.
To use this driver just specify it when calling the Sweave function with the driver=RweaveLatexMinted() option.
Here's how I've ended up solving it, starting from #daroczig's suggestion.
\usepackage{minted}
\renewenvironment{Sinput}{\minted[frame=single]{r}}{\endminted}
\DefineVerbatimEnvironment{Soutput}{Verbatim}{frame=leftline}
\DefineVerbatimEnvironment{Scode}{Verbatim}{}
While I was at it, I needed to get caching working because I'm using large data sets and one chunk was taking around 3 minutes to complete. So I wrote this zsh shell function to process an .Rnw file with caching:
function sweaveCache() {
Rscript -e "library(cacheSweave); setCacheDir(getwd()); Sweave('$1.Rnw', driver = cacheSweaveDriver)" &&
pdflatex --shell-escape $1.tex &&
open $1.pdf
}
Now I just do sweaveCache myFile and I get the result opened in Preview (on OS X).
This topic on tex.StackExchange might be interesting for you, as it suggest loading the SweaveListingUtils package in R for easy solution.