This is a book about bugs.
+From 92ee9d77c0107e0ecdab813126fe3bea4f2fe5b6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
+ Created by Hakim El Hattab and contributors
+
+ reveal.js enables you to create beautiful interactive slide decks using HTML. This presentation will show you examples of what it can do.
+ Slides can be nested inside of each other. Use the Space key to navigate through all slides. Nested slides are useful for adding additional detail underneath a high level horizontal slide. That's it, time to go back up.
+ Not a coder? Not a problem. There's a fully-featured visual editor for authoring these, try it out at https://slides.com.
+
+ This slide is visible in the source, but hidden when the presentation is viewed. You can show all hidden slides by setting the `showHiddenSlides` config option to `true`.
+ Code syntax highlighting courtesy of highlight.js.
+ Press ESC to enter the slide overview.
+
+ Hold down the alt key (ctrl in Linux) and click on any element to zoom towards it using zoom.js. Click again to zoom back out.
+
+ (NOTE: Use ctrl + click in Linux.)
+ Automatically animate matching elements across slides with Auto-Animate.
+ Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.
+ Add the Hit the next arrow... ... to step through ... ... a fragmented slide. There's different types of fragments, like: grow shrink fade-out
+ fade-right,
+ up,
+ down,
+ left
+ fade-in-then-out fade-in-then-semi-out Highlight red blue green
+ You can select from different transitions, like:
+ reveal.js comes with a few themes built in:
+ Set
+ Different background transitions are available via the backgroundTransition option. This one's called "zoom".
+
+ You can override background transitions per-slide.
+ Since reveal.js runs on the web, you can easily embed other web content. Try interacting with the page in the background.
+ These guys come in two forms, inline:
+ You can link between slides internally,
+ like this.
+ There's a speaker view. It includes a timer, preview of the upcoming slide as well as your speaker notes. Press the S key to try it out. Presentations can be exported to PDF, here's an example:
+ Set
+ Additionally custom events can be triggered on a per slide basis by binding to the
+ Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.
+
reveal.js enables you to create beautiful interactive slide decks using HTML. This presentation will show you examples of what it can do.
Not a coder? Not a problem. There's a fully-featured visual editor for authoring these, try it out at https://slides.com.
This slide is visible in the source, but hidden when the presentation is viewed. You can show all hidden slides by setting the `showHiddenSlides` config option to `true`.
Code syntax highlighting courtesy of highlight.js.
@@ -135,7 +128,6 @@ Automatically animate matching elements across slides with Auto-Animate.
Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.
Add the Highlight red blue green
@@ -233,7 +220,6 @@
+
+
The HTML Presentation Framework
+ Hello There
+ Vertical Slides
+
+
+
+
+ Basement Level 1
+ Basement Level 2
+
+
+
+
+ Slides
+ Hidden Slides
+ Pretty Code
+
+
+ import React, { useState } from 'react';
+
+ function Example() {
+ const [count, setCount] = useState(0);
+
+ return (
+ ...
+ );
+ }
+ With animations
+
+ Point of View
+ Auto-Animate
+ Auto-Animate
+ Auto-Animate
+ Touch Optimized
+ r-fit-text class to auto-size textFIT TEXT
+ Fragments
+ Fragment Styles
+ Transition Styles
+
+ None -
+ Fade -
+ Slide -
+ Convex -
+ Concave -
+ Zoom
+ Themes
+
+
+ Black (default) -
+ White -
+ League -
+ Sky -
+ Beige -
+ Simple
+ Serif -
+ Blood -
+ Night -
+ Moon -
+ Solarized
+ Slide Backgrounds
+ data-background="#dddddd" on a slide to change the background color. All CSS color formats are supported.
+
+
+ Gradient Backgrounds
+
+ <section data-background-gradient=
+ "linear-gradient(to bottom, #ddd, #191919)">Image Backgrounds
+
+ <section data-background="image.png">Tiled Backgrounds
+
+ <section data-background="image.png" data-background-repeat="repeat" data-background-size="100px">Video Backgrounds
+
+ <section data-background-video="video.mp4,video.webm">... and GIFs!
+ Background Transitions
+
+ Reveal.configure({ backgroundTransition: 'zoom' })Background Transitions
+
+ <section data-background-transition="zoom">Iframe Backgrounds
+ Marvelous List
+
+
+ Fantastic Ordered List
+
+
+ Tabular Tables
+
+
+
+
+
+
+
+ Item
+ Value
+ Quantity
+
+
+ Apples
+ $1
+ 7
+
+
+ Lemonade
+ $2
+ 18
+
+
+
+ Bread
+ $3
+ 2
+ Clever Quotes
+ The nice thing about standards is that there are so many to choose from
and block:
+
+ “For years there has been a theory that millions of monkeys typing at random on millions of typewriters would
+ reproduce the entire works of Shakespeare. The Internet has proven this theory to be untrue.”
+
+ Intergalactic Interconnections
+ Speaker View
+ Export to PDF
+ Global State
+ data-state="something" on a slide and "something"
+ will be added as a class to the document element when the slide is open. This lets you
+ apply broader style changes, like switching the page background.
+ State Events
+ data-state name.
+
+
+Reveal.on( 'customevent', function() {
+ console.log( '"customevent" has fired' );
+} );
+ Take a Moment
+ Much more
+
+
+ THE END
+
+
@@ -490,29 +440,23 @@
THE END
- Source code & documentation
@@ -27,14 +27,12 @@
The HTML Presentation Framework
Created by Hakim El Hattab and contributors
Hello There
Basement Level 2
Slides
Hidden Slides
Pretty Code
@@ -89,7 +84,6 @@ Pretty Code
With animations
Point of View
Point of View
(NOTE: Use ctrl + click in Linux.)
Auto-Animate
Auto-Animate
Auto-Animate
-
Touch Optimized
r-fit-text class to auto-size textFIT TEXT
Fragments
@@ -220,7 +208,6 @@ Fragment Styles
Transition Styles
Transition Styles
Zoom
@@ -252,7 +238,6 @@
@@ -294,7 +278,6 @@
Reveal.configure({ backgroundTransition: 'zoom' })
@@ -302,14 +285,12 @@
<section data-background-transition="zoom">
Since reveal.js runs on the web, you can easily embed other web content. Try interacting with the page in the background.
@@ -369,7 +348,6 @@
@@ -377,7 +355,6 @@
There's a speaker view. It includes a timer, preview of the upcoming slide as well as your speaker notes.
@@ -387,13 +364,11 @@Presentations can be exported to PDF, here's an example:
@@ -402,7 +377,6 @@
@@ -414,14 +388,12 @@
Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.
From 143c0cf31f9b7b885d8ddffe3f8ef50a28aee28f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
- Try the online editor
- Try the online editor
- Try the online editor
- Try the online editor
- Try the online editor
- Try the online editor
- Try the online editor
- Try the online editor
- MyComputer Blog FastPages
From ac301c2fcbd87e85f6a8c66bbcf70341cd6f37c7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
From ee254a0846be70e1741335920608f212995b8c91 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
From c4577fbd7aeb84cddc066f6668d32ebd8941bf89 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
From 0257f55421096086b9f263e65d60c89cfa02ad23 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
From d5e11d4eb415b9b542ef9fca95284a67568144f8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
From 4baec6a7195c9bd297bd27c54cca459d2ceacb61 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
From cccebbc9df9fa1e3e30ad3f3bd2f044ead4cbafb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?= Here’s some code with syntax highlighting: Try changing the highlighting style to see what effect this has. Here’s some python, with numbered lines:
- Created by Hakim El Hattab and contributors
-
- reveal.js enables you to create beautiful interactive slide decks using HTML. This presentation will show you examples of what it can do.
- Slides can be nested inside of each other. Use the Space key to navigate through all slides. Nested slides are useful for adding additional detail underneath a high level horizontal slide. That's it, time to go back up.
- Not a coder? Not a problem. There's a fully-featured visual editor for authoring these, try it out at https://slides.com.
-
- This slide is visible in the source, but hidden when the presentation is viewed. You can show all hidden slides by setting the `showHiddenSlides` config option to `true`.
- Code syntax highlighting courtesy of highlight.js.
- Press ESC to enter the slide overview.
-
- Hold down the alt key (ctrl in Linux) and click on any element to zoom towards it using zoom.js. Click again to zoom back out.
-
- (NOTE: Use ctrl + click in Linux.)
- Automatically animate matching elements across slides with Auto-Animate.
- Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.
- Add the Hit the next arrow... ... to step through ... ... a fragmented slide. There's different types of fragments, like: grow shrink fade-out
- fade-right,
- up,
- down,
- left
- fade-in-then-out fade-in-then-semi-out Highlight red blue green
- You can select from different transitions, like:
- reveal.js comes with a few themes built in:
- Set
- Different background transitions are available via the backgroundTransition option. This one's called "zoom".
-
- You can override background transitions per-slide.
- Since reveal.js runs on the web, you can easily embed other web content. Try interacting with the page in the background.
- These guys come in two forms, inline:
- You can link between slides internally,
- like this.
- There's a speaker view. It includes a timer, preview of the upcoming slide as well as your speaker notes. Press the S key to try it out. Presentations can be exported to PDF, here's an example:
- Set
- Additionally custom events can be triggered on a per slide basis by binding to the
- Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.
-
- - Try the online editor
- - MyComputer Blog FastPages
+ Created by Hakim El Hattab and contributors
+
+ reveal.js enables you to create beautiful interactive slide decks using HTML. This presentation will show you examples of what it can do.
+ Slides can be nested inside of each other. Use the Space key to navigate through all slides. Nested slides are useful for adding additional detail underneath a high level horizontal slide. That's it, time to go back up.
+ Not a coder? Not a problem. There's a fully-featured visual editor for authoring these, try it out at https://slides.com.
+
+ This slide is visible in the source, but hidden when the presentation is viewed. You can show all hidden slides by setting the `showHiddenSlides` config option to `true`.
+ Code syntax highlighting courtesy of highlight.js.
+ Press ESC to enter the slide overview.
+
+ Hold down the alt key (ctrl in Linux) and click on any element to zoom towards it using zoom.js. Click again to zoom back out.
+
+ (NOTE: Use ctrl + click in Linux.)
+ Automatically animate matching elements across slides with Auto-Animate.
+ Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.
+ Add the Hit the next arrow... ... to step through ... ... a fragmented slide. There's different types of fragments, like: grow shrink fade-out
+ fade-right,
+ up,
+ down,
+ left
+ fade-in-then-out fade-in-then-semi-out Highlight red blue green
+ You can select from different transitions, like:
+ reveal.js comes with a few themes built in:
+ Set
+ Different background transitions are available via the backgroundTransition option. This one's called "zoom".
+
+ You can override background transitions per-slide.
+ Since reveal.js runs on the web, you can easily embed other web content. Try interacting with the page in the background.
+ These guys come in two forms, inline:
+ You can link between slides internally,
+ like this.
+ There's a speaker view. It includes a timer, preview of the upcoming slide as well as your speaker notes. Press the S key to try it out. Presentations can be exported to PDF, here's an example:
+ Set
+ Additionally custom events can be triggered on a per slide basis by binding to the
+ Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.
+
+ - Try the online editor
+ - MyComputer Blog FastPages John MacFarlane TUG 2020, 2020-07-26 Let’s try with a sample TeX document by Professor A.J. Roberts at the
+University of Adelaide (CC licensed). http://www.maths.adelaide.edu.au/anthony.roberts/LaTeX/Src/maths.tex With the help of the Pandoc is far from being able to convert arbitrary tex files with
+high accuracy. Let’s try with a real-world example I got at random from arxiv. So you can’t just write in LaTeX and expect to convert at the last
+minute to docx (for a publisher) or epub (for your students) or HTML
+(for your website). An alternative: write your document in pandoc’s extended version of
+Markdown, which pandoc can convert with complete accuracy to any of its
+output formats. Markdown is a set of conventions for indicating document formatting
+in plain text, mostly inherited from the pre-internet days of bulletin
+boards and email. It was designed in 2004 by John Gruber with help from Aaron Schwartz,
+and it is currently much used by programmers, and on forums like
+stackoverflow and reddit, and by data scientists via Jupyter notebooks
+and RMarkdown. The source text is readable as it is. When writing and revising, you
+don’t have to parse through command-words which aren’t part of the
+content. If you’re writing in a language other than English, you don’t have to
+have English words sprinkled in the text. There’s no boilerplate at the beginning. The document just starts
+with the text. The paucity of means is the greatest virtue of markdown and pandoc
+markdown. It is strangely difficult to get people to see the point, but the
+defects of LaTeX for concentration, writing and thought, are at least as
+great as those of Word, for the simple reason that it gives the writer
+too much power; there is always another package to call in the preamble,
+as there is always another drop down menu in Word. … In markdown - not to put too fine a point on it - the writer is only
+ever faced with one question, and it is the right one: what the next
+sentence should be. — Michael Thompson, pandoc-discuss mailing list Using Markdown makes it possible to collaborate with others who don’t
+know LaTeX. Markdown can be converted with complete, reliable accuracy into many
+different formats. It’s often not enough just to produce a PDF. TeX is a great assembly language for publication-quality
+documents. John Gruber’s original markdown syntax lacks support for: We couldn’t live without these things in academic writing. And we definitely couldn’t live without How can we overcome these limitations? Pandoc also understands LaTeX macro definitions, which you can use
+for math (no matter what the output format). Labels and cross-references are still a work in progress, but you can
+get good support for them using an external filter,
+ You can use the Change the style by specifying a CSL stylesheet. (You can even change
+between author-date, numerical, and footnote sytles with no
+modifications to the source.) You can use your existing bibtex or biblatex bibliography file, or a
+CSL JSON bibliography such as can be produced by Zotero. LaTeX macros allow you to define new constructions that exactly fit
+what you’re writing about. Can we recover this flexibility? One approach is to just include bits of raw TeX in your markdown
+file. Pandoc allows that. There is a special syntax for indicating chunks of raw TeX, but
+pandoc will also recognize obvious bits of raw TeX and pass them through
+as such. The raw TeX chunks will be passed on unchanged if the output
+format is But: Drawbacks: Adopt the convention that a certain thing representable in
+pandoc’s markdown should be interpreted as, say, a dropped capital
+letter. Write a filter that does the interpretation. In LaTeX we can use the We will use a generic bracketed span with a class to represent this
+in Markdown: Now we need a filter that replaces JSON filters operate on a serialized JSON
+representation of the pandoc AST. They can be written in any language
+that can consume and produce JSON. Lua filters use a Lua interpreter and
+environment built into pandoc. No external software need be installed,
+and the filters are more efficient, because we don’t need to serialize
+and deserialize as JSON. Documentation: https://pandoc.org/lua-filters.html In a Lua filter we define functions that match different kinds of AST
+elements. Here we want to match a Span. Create a file
+ We only want to do something if the Span has the class
+ Now we just have to define To get a tikz diagram, we could have a filter turn specially marked
+code blocks into images. In fact, there is already a very nice general diagram filter at
+https://github.com/pandoc/lua-filters. How to reproduce LaTeX Markdown version: Questions? John MacFarlane TUG 2020, 2020-07-26 John MacFarlane TUG 2020, 2020-07-26 Let’s try with a sample TeX document by Professor A.J. Roberts at the
-University of Adelaide (CC licensed). http://www.maths.adelaide.edu.au/anthony.roberts/LaTeX/Src/maths.tex With the help of the Pandoc is far from being able to convert arbitrary tex files with
-high accuracy. Let’s try with a real-world example I got at random from arxiv. So you can’t just write in LaTeX and expect to convert at the last
-minute to docx (for a publisher) or epub (for your students) or HTML
-(for your website). An alternative: write your document in pandoc’s extended version of
-Markdown, which pandoc can convert with complete accuracy to any of its
-output formats. Markdown is a set of conventions for indicating document formatting
-in plain text, mostly inherited from the pre-internet days of bulletin
-boards and email. It was designed in 2004 by John Gruber with help from Aaron Schwartz,
-and it is currently much used by programmers, and on forums like
-stackoverflow and reddit, and by data scientists via Jupyter notebooks
-and RMarkdown. The source text is readable as it is. When writing and revising, you
-don’t have to parse through command-words which aren’t part of the
-content. If you’re writing in a language other than English, you don’t have to
-have English words sprinkled in the text. There’s no boilerplate at the beginning. The document just starts
-with the text. The paucity of means is the greatest virtue of markdown and pandoc
-markdown. It is strangely difficult to get people to see the point, but the
-defects of LaTeX for concentration, writing and thought, are at least as
-great as those of Word, for the simple reason that it gives the writer
-too much power; there is always another package to call in the preamble,
-as there is always another drop down menu in Word. … In markdown - not to put too fine a point on it - the writer is only
-ever faced with one question, and it is the right one: what the next
-sentence should be. — Michael Thompson, pandoc-discuss mailing list Using Markdown makes it possible to collaborate with others who don’t
-know LaTeX. Markdown can be converted with complete, reliable accuracy into many
-different formats. It’s often not enough just to produce a PDF. TeX is a great assembly language for publication-quality
-documents. John Gruber’s original markdown syntax lacks support for: We couldn’t live without these things in academic writing. And we definitely couldn’t live without How can we overcome these limitations? Pandoc also understands LaTeX macro definitions, which you can use
-for math (no matter what the output format). Labels and cross-references are still a work in progress, but you can
-get good support for them using an external filter,
- You can use the Change the style by specifying a CSL stylesheet. (You can even change
-between author-date, numerical, and footnote sytles with no
-modifications to the source.) You can use your existing bibtex or biblatex bibliography file, or a
-CSL JSON bibliography such as can be produced by Zotero. LaTeX macros allow you to define new constructions that exactly fit
-what you’re writing about. Can we recover this flexibility? One approach is to just include bits of raw TeX in your markdown
-file. Pandoc allows that. There is a special syntax for indicating chunks of raw TeX, but
-pandoc will also recognize obvious bits of raw TeX and pass them through
-as such. The raw TeX chunks will be passed on unchanged if the output
-format is But: Drawbacks: Adopt the convention that a certain thing representable in
-pandoc’s markdown should be interpreted as, say, a dropped capital
-letter. Write a filter that does the interpretation. In LaTeX we can use the We will use a generic bracketed span with a class to represent this
-in Markdown: Now we need a filter that replaces JSON filters operate on a serialized JSON
-representation of the pandoc AST. They can be written in any language
-that can consume and produce JSON. Lua filters use a Lua interpreter and
-environment built into pandoc. No external software need be installed,
-and the filters are more efficient, because we don’t need to serialize
-and deserialize as JSON. Documentation: https://pandoc.org/lua-filters.html In a Lua filter we define functions that match different kinds of AST
-elements. Here we want to match a Span. Create a file
- We only want to do something if the Span has the class
- Now we just have to define To get a tikz diagram, we could have a filter turn specially marked
-code blocks into images. In fact, there is already a very nice general diagram filter at
-https://github.com/pandoc/lua-filters. How to reproduce LaTeX Markdown version: Questions?
+ Press ESC to enter the slide overview.
+
+ Hold down the alt key (ctrl in Linux) and click on any element to zoom towards it using zoom.js. Click again to zoom back out.
+
+ (NOTE: Use ctrl + click in Linux.)
+ Automatically animate matching elements across slides with Auto-Animate.
+ Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.
+ Add the Hit the next arrow... ... to step through ... ... a fragmented slide. There's different types of fragments, like: grow shrink fade-out
+ fade-right,
+ up,
+ down,
+ left
+ fade-in-then-out fade-in-then-semi-out Highlight red blue green
+ You can select from different transitions, like:
+ reveal.js comes with a few themes built in:
+ Set
+ Different background transitions are available via the backgroundTransition option. This one's called "zoom".
+
+ You can override background transitions per-slide.
+ Since reveal.js runs on the web, you can easily embed other web content. Try interacting with the page in the background.
+ These guys come in two forms, inline:
+ You can link between slides internally,
+ like this.
+ There's a speaker view. It includes a timer, preview of the upcoming slide as well as your speaker notes. Press the S key to try it out. Presentations can be exported to PDF, here's an example:
+ Set
+ Additionally custom events can be triggered on a per slide basis by binding to the
+ Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.
+
+ - Try the online editor
+ - MyComputer Blog FastPages Here’s some code with syntax highlighting: Try changing the highlighting style to see what effect this has. Here’s some python, with numbered lines: John MacFarlane TUG 2020, 2020-07-26 Let’s try with a sample TeX document by Professor A.J. Roberts at the
+University of Adelaide (CC licensed). http://www.maths.adelaide.edu.au/anthony.roberts/LaTeX/Src/maths.tex With the help of the Pandoc is far from being able to convert arbitrary tex files with
+high accuracy. Let’s try with a real-world example I got at random from arxiv. So you can’t just write in LaTeX and expect to convert at the last
+minute to docx (for a publisher) or epub (for your students) or HTML
+(for your website). An alternative: write your document in pandoc’s extended version of
+Markdown, which pandoc can convert with complete accuracy to any of its
+output formats. Markdown is a set of conventions for indicating document formatting
+in plain text, mostly inherited from the pre-internet days of bulletin
+boards and email. It was designed in 2004 by John Gruber with help from Aaron Schwartz,
+and it is currently much used by programmers, and on forums like
+stackoverflow and reddit, and by data scientists via Jupyter notebooks
+and RMarkdown. The source text is readable as it is. When writing and revising, you
+don’t have to parse through command-words which aren’t part of the
+content. If you’re writing in a language other than English, you don’t have to
+have English words sprinkled in the text. There’s no boilerplate at the beginning. The document just starts
+with the text. The paucity of means is the greatest virtue of markdown and pandoc
+markdown. It is strangely difficult to get people to see the point, but the
+defects of LaTeX for concentration, writing and thought, are at least as
+great as those of Word, for the simple reason that it gives the writer
+too much power; there is always another package to call in the preamble,
+as there is always another drop down menu in Word. … In markdown - not to put too fine a point on it - the writer is only
+ever faced with one question, and it is the right one: what the next
+sentence should be. — Michael Thompson, pandoc-discuss mailing list Using Markdown makes it possible to collaborate with others who don’t
+know LaTeX. Markdown can be converted with complete, reliable accuracy into many
+different formats. It’s often not enough just to produce a PDF. TeX is a great assembly language for publication-quality
+documents. John Gruber’s original markdown syntax lacks support for: We couldn’t live without these things in academic writing. And we definitely couldn’t live without How can we overcome these limitations? Pandoc also understands LaTeX macro definitions, which you can use
+for math (no matter what the output format). Labels and cross-references are still a work in progress, but you can
+get good support for them using an external filter,
+ You can use the Change the style by specifying a CSL stylesheet. (You can even change
+between author-date, numerical, and footnote sytles with no
+modifications to the source.) You can use your existing bibtex or biblatex bibliography file, or a
+CSL JSON bibliography such as can be produced by Zotero. LaTeX macros allow you to define new constructions that exactly fit
+what you’re writing about. Can we recover this flexibility? One approach is to just include bits of raw TeX in your markdown
+file. Pandoc allows that. There is a special syntax for indicating chunks of raw TeX, but
+pandoc will also recognize obvious bits of raw TeX and pass them through
+as such. The raw TeX chunks will be passed on unchanged if the output
+format is But: Drawbacks: Adopt the convention that a certain thing representable in
+pandoc’s markdown should be interpreted as, say, a dropped capital
+letter. Write a filter that does the interpretation. In LaTeX we can use the We will use a generic bracketed span with a class to represent this
+in Markdown: Now we need a filter that replaces JSON filters operate on a serialized JSON
+representation of the pandoc AST. They can be written in any language
+that can consume and produce JSON. Lua filters use a Lua interpreter and
+environment built into pandoc. No external software need be installed,
+and the filters are more efficient, because we don’t need to serialize
+and deserialize as JSON. Documentation: https://pandoc.org/lua-filters.html In a Lua filter we define functions that match different kinds of AST
+elements. Here we want to match a Span. Create a file
+ We only want to do something if the Span has the class
+ Now we just have to define To get a tikz diagram, we could have a filter turn specially marked
+code blocks into images. In fact, there is already a very nice general diagram filter at
+https://github.com/pandoc/lua-filters. How to reproduce LaTeX Markdown version: Questions?
- Press ESC to enter the slide overview.
-
- Hold down the alt key (ctrl in Linux) and click on any element to zoom towards it using zoom.js. Click again to zoom back out.
-
- (NOTE: Use ctrl + click in Linux.)
- Automatically animate matching elements across slides with Auto-Animate.
- Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.
- Add the Hit the next arrow... ... to step through ... ... a fragmented slide. There's different types of fragments, like: grow shrink fade-out
- fade-right,
- up,
- down,
- left
- fade-in-then-out fade-in-then-semi-out Highlight red blue green
- You can select from different transitions, like:
- reveal.js comes with a few themes built in:
- Set
- Different background transitions are available via the backgroundTransition option. This one's called "zoom".
-
- You can override background transitions per-slide.
- Since reveal.js runs on the web, you can easily embed other web content. Try interacting with the page in the background.
- These guys come in two forms, inline:
- You can link between slides internally,
- like this.
- There's a speaker view. It includes a timer, preview of the upcoming slide as well as your speaker notes. Press the S key to try it out. Presentations can be exported to PDF, here's an example:
- Set
- Additionally custom events can be triggered on a per slide basis by binding to the
- Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.
-
- - Try the online editor
- - MyComputer Blog FastPages Here’s some code with syntax highlighting: Try changing the highlighting style to see what effect this has. Here’s some python, with numbered lines: Here’s some code with syntax highlighting: Here’s some code with syntax highlighting: Try changing the highlighting style to see what effect this has. Here’s some python, with numbered lines: Here’s some code with syntax highlighting: Try changing the highlighting style to see what effect this has. Here’s some python, with numbered lines: Here’s some code with syntax highlighting: Try changing the highlighting style to see what effect this has. Here’s some python, with numbered lines: Here’s some code with syntax highlighting: Try changing the highlighting style to see what effect this has. Here’s some python, with numbered lines: by E. N. Tymologist Keywords: bee; ant; ladybug This is a book about bugs. by E. N. Tymologist Keywords: bee; ant; ladybug This is a book about bugs. 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 This is a book about bugs. 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 Here’s some code with syntax highlighting: Try changing the highlighting style to see what effect this has. Here’s some python, with numbered lines: by E. N. Tymologist Keywords: bee; ant; ladybug This is a book about bugs. 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 H4;J0|A8h{O2V~#4fZZGWW8J7k
zY@v?1XRsso4bWph=}l;EPd_zw^-*C*FKcWi&&)Jq*TI51HuV6?kk#}LE^n&G`gU$O
zFer+A(+kTQX^>u@*wwYbf;twM&+W|GDvYV+i0bjo>*qQYz9aLa#55&mi_a$b wRla*3$vD(ujH5%
zDuI+qE0DVV3&d{!8i|=-qh#h|=6Rk*#bM)+P>Q+k-Z~`tSfOON6+TQ-p
+
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+
+
-
+
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+
+
From 640f77b3f5877b48a3eddb46699bd51f9eda065a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
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From ed14ba52d9b2258bcb71ed9a9c1a13238d6f4339 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
+
+
+
+
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+
-
+
+
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+
+
-
-
THE END
+
From 360dc1d346dc6448460c05d9c939aa0b173cbcd7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
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+
From c0aba1e38100c9c2f7cffed14641ababb7a8a130 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
+
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From 33724e75c3f0fb6d22d0f8fcabf3d4d24458a533 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
From d064a3688b253be00f0fa1da2c47223ed0cf46f9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
+
@@ -19,6 +19,7 @@
+
-
-
-
+
THE END
- Source code & documentation
+ - ercetinguler@hotmail.com
THE END
- Source code & documentation
- - ercetinguler@hotmail.com
+ - ercetinguler@hotmail.com
THE END
- Source code & documentation
- - ercetinguler@hotmail.com
+ - Ercetinguler@hotmail.com
THE END
- Source code & documentation
+
- Ercetinguler@hotmail.com
THE END
- Try the online editor
- Source code & documentation
- - Ercetinguler@hotmail.com
+ - My Computer Blog Ercetinguler@hotmail.com
THE END
- Source code & documentation
-
- My Computer Blog Ercetinguler@hotmail.com
+ - Connect: Ercetinguler@hotmail.com
THE END
- Source code & documentation
- - My Computer Blog Ercetinguler@hotmail.com
- - Connect: Ercetinguler@hotmail.com
+ - My Computer Blog
+ - Support: ercetinguler@hotmail.com
THE END
- Try the online editor
- Source code & documentation
- My Computer Blog
- - Support: ercetinguler@hotmail.com
+ - Support: ercetinguler@hotmail.com
THE END
- Source code & documentation
- - My Computer Blog
+ - MyComputer Blog FastPages
- Support: ercetinguler@hotmail.com
Much more
THE END
- - Source code & documentation
+ - Source code & documentation
+
- Support: ercetinguler@hotmail.com
+
+
+
+
+
+
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+
+
From f3cf7d166214e2b678a7273b3a64c1ed7a1f6d91 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
+
From 93d61f86c5653dcc66bf7ba212a92fc35b87671a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
+
-
+
The HTML Presentation Framework
+
+
The HTML Presentation Framework
-
+
The HTML Presentation Framework
-
The HTML Presentation Framework
From 08e79e4b3cc4739c675355d665af3f87c6b008f8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
-
+
+
The HTML Presentation Framework
-
+
+
The HTML Presentation Framework
+
The HTML Presentation Framework
From 189cf0d7c0ac25c132764a2c184798e001decad8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
-
+
The HTML Presentation Framework
From db81318aa8c04a23ffb735329ce810613603b9a5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
-
+
+
The HTML Presentation Framework
+
The HTML Presentation Framework
THE END
+
+
+
+
+
+
+
Code with syntax highlighting
+-- | Inefficient quicksort in haskell.
+qsort :: (Enum a) => [a] -> [a]
+qsort [] = []
+qsort (x:xs) = qsort (filter (< x) xs) ++ [x] ++
+ qsort (filter (>= x) xs) class FSM(object):
+
+"""This is a Finite State Machine (FSM).
+"""
+
+def __init__(self, initial_state, memory=None):
+
+ """This creates the FSM. You set the initial state here. The "memory"
+ attribute is any object that you want to pass along to the action
+ functions. It is not used by the FSM. For parsing you would typically
+ pass a list to be used as a stack. """
+
+ # Map (input_symbol, current_state) --> (action, next_state).
+ self.state_transitions = {}
+ # Map (current_state) --> (action, next_state).
+ self.state_transitions_any = {}
+ self.default_transition = None
+ ...
-
-
-
-
The HTML Presentation Framework
- Hello There
- Vertical Slides
-
-
-
-
- Basement Level 1
- Basement Level 2
-
-
-
-
- Slides
- Hidden Slides
- Pretty Code
-
-
- import React, { useState } from 'react';
-
- function Example() {
- const [count, setCount] = useState(0);
-
- return (
- ...
- );
- }
- With animations
-
- Point of View
- Auto-Animate
- Auto-Animate
- Auto-Animate
- Touch Optimized
- r-fit-text class to auto-size textFIT TEXT
- Fragments
- Fragment Styles
- Transition Styles
-
- None -
- Fade -
- Slide -
- Convex -
- Concave -
- Zoom
- Themes
-
-
- Black (default) -
- White -
- League -
- Sky -
- Beige -
- Simple
- Serif -
- Blood -
- Night -
- Moon -
- Solarized
- Slide Backgrounds
- data-background="#dddddd" on a slide to change the background color. All CSS color formats are supported.
-
-
- Gradient Backgrounds
-
- <section data-background-gradient=
- "linear-gradient(to bottom, #ddd, #191919)">Image Backgrounds
-
- <section data-background="image.png">Tiled Backgrounds
-
- <section data-background="image.png" data-background-repeat="repeat" data-background-size="100px">Video Backgrounds
-
- <section data-background-video="video.mp4,video.webm">... and GIFs!
- Background Transitions
-
- Reveal.configure({ backgroundTransition: 'zoom' })Background Transitions
-
- <section data-background-transition="zoom">Iframe Backgrounds
- Marvelous List
-
-
- Fantastic Ordered List
-
-
- Tabular Tables
-
-
-
-
-
-
-
- Item
- Value
- Quantity
-
-
- Apples
- $1
- 7
-
-
- Lemonade
- $2
- 18
-
-
-
- Bread
- $3
- 2
- Clever Quotes
- The nice thing about standards is that there are so many to choose from
and block:
-
- “For years there has been a theory that millions of monkeys typing at random on millions of typewriters would
- reproduce the entire works of Shakespeare. The Internet has proven this theory to be untrue.”
-
- Intergalactic Interconnections
- Speaker View
- Export to PDF
- Global State
- data-state="something" on a slide and "something"
- will be added as a class to the document element when the slide is open. This lets you
- apply broader style changes, like switching the page background.
- State Events
- data-state name.
-
-
-Reveal.on( 'customevent', function() {
- console.log( '"customevent" has fired' );
-} );
- Take a Moment
- Much more
-
-
- THE END
-
- - Source code & documentation
-
- - Support: ercetinguler@hotmail.com
-
@@ -710,3 +268,445 @@
Code with syntax highlighting
...
+
+
+
+
The HTML Presentation Framework
+ Hello There
+ Vertical Slides
+
+
+
+
+ Basement Level 1
+ Basement Level 2
+
+
+
+
+ Slides
+ Hidden Slides
+ Pretty Code
+
+
+ import React, { useState } from 'react';
+
+ function Example() {
+ const [count, setCount] = useState(0);
+
+ return (
+ ...
+ );
+ }
+ With animations
+
+ Point of View
+ Auto-Animate
+ Auto-Animate
+ Auto-Animate
+ Touch Optimized
+ r-fit-text class to auto-size textFIT TEXT
+ Fragments
+ Fragment Styles
+ Transition Styles
+
+ None -
+ Fade -
+ Slide -
+ Convex -
+ Concave -
+ Zoom
+ Themes
+
+
+ Black (default) -
+ White -
+ League -
+ Sky -
+ Beige -
+ Simple
+ Serif -
+ Blood -
+ Night -
+ Moon -
+ Solarized
+ Slide Backgrounds
+ data-background="#dddddd" on a slide to change the background color. All CSS color formats are supported.
+
+
+ Gradient Backgrounds
+
+ <section data-background-gradient=
+ "linear-gradient(to bottom, #ddd, #191919)">Image Backgrounds
+
+ <section data-background="image.png">Tiled Backgrounds
+
+ <section data-background="image.png" data-background-repeat="repeat" data-background-size="100px">Video Backgrounds
+
+ <section data-background-video="video.mp4,video.webm">... and GIFs!
+ Background Transitions
+
+ Reveal.configure({ backgroundTransition: 'zoom' })Background Transitions
+
+ <section data-background-transition="zoom">Iframe Backgrounds
+ Marvelous List
+
+
+ Fantastic Ordered List
+
+
+ Tabular Tables
+
+
+
+
+
+
+
+ Item
+ Value
+ Quantity
+
+
+ Apples
+ $1
+ 7
+
+
+ Lemonade
+ $2
+ 18
+
+
+
+ Bread
+ $3
+ 2
+ Clever Quotes
+ The nice thing about standards is that there are so many to choose from
and block:
+
+ “For years there has been a theory that millions of monkeys typing at random on millions of typewriters would
+ reproduce the entire works of Shakespeare. The Internet has proven this theory to be untrue.”
+
+ Intergalactic Interconnections
+ Speaker View
+ Export to PDF
+ Global State
+ data-state="something" on a slide and "something"
+ will be added as a class to the document element when the slide is open. This lets you
+ apply broader style changes, like switching the page background.
+ State Events
+ data-state name.
+
+
+Reveal.on( 'customevent', function() {
+ console.log( '"customevent" has fired' );
+} );
+ Take a Moment
+ Much more
+
+
+ THE END
+
+ - Source code & documentation
+
+ - Support: ercetinguler@hotmail.com
+
From 723a3dc3a9b3457f1f9d8c8d66b48445be2f8f03 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
Pandoc for TeXnicians
+ Overview
+
+
+
+What is pandoc?
+
+Let’s take it for a spin
+
+% cat simple.tex
+\section{On $e=mc^2$}\label{einstein}
+% pandoc -f latex -t native simple.tex
+% pandoc -f latex -t html simple.tex
+% pandoc -t html --mathml simple.tex
+% pandoc -t html --mathjax simple.tex
+% pandoc -t -html --mathjax -s simple.tex
+% pandoc -t ms simple.tex
+% pandoc -t gfm simple.tex
+% pandoc -t context simple.tex
+% pandoc -t jats simple.texSome math
+Some math
+
+
+% pandoc maths.tex -o maths.docxTake two
+
+% pandoc maths.tex --number-sections -o maths.docx
+% open maths.docx
+
+Going the other way
+
+% pandoc maths.docx -o newmaths.tex -s
+% xelatex newmaths
+% xelatex newmathsConverting to HTML
+
+% pandoc maths.tex -s -o maths.html --mathml \
+ --number-sections --toc
+% open maths.htmlComparison with latex2rtf
+
+% latex2rtf maths.tex
+% open -a "Microsoft Word" maths.rtf
+
+Comparison with tex4ht
+
+% make4ht maths
+% open maths.html
+
+Comparison with Word from PDF
+
+% pdflatex maths
+% pdflatex maths
+% open -a "Microsoft Word" maths.pdf
+
+Pandoc can interpret TeX macros
+
+% cat macros.tex
+\newcommand{\nec}{\Box}
+\newcommand{\if}[2]{#1 \rightarrow #2}
+\newenvironment{warning}%
+ {\begin{quote}\textbf{WARNING!}}%
+ {\end{quote}}
+
+$\if{\nec \phi}{\phi}$
+\begin{warning}
+Don't try this at home.
+\end{warning}
+% pandoc macros.tex -t htmlPandoc can resolve bibtex citations
+pandoc-citeproc filter (included in
+the released binaries).
+% pandoc --filter pandoc-citeproc bib.tex \
+ -t plain --csl ieee.cslLimitations
+
+% cd arxiv.2007.07694v1
+% pandoc arxiv.tex -o arxiv.docxAn alternative
+
+An alternative
+What is Markdown?
+Appealing things about Markdown
+Real separation of content from formatting.
+
+
+Appealing things about Markdown
+Appealing things about Markdown
+
+
+Limitations of Markdown
+
+
+
+
+
+
+
+
+
+
+
+
+
+Limitations of Markdown
+
+
+
+
+Overcoming Markdown’s limitations
+
+Pandoc’s extended Markdown syntax
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+pandoc-crossref, by pandoc contributor Nikolay Yakimov.--citeproc filter to resolve citations
+in this syntax:
+Blah blah [@putnam:empirical, p. 33; see also
+@dummett:empirical].Raw TeX in Markdown
+
+
+latex, beamer, or
+context, and otherwise simply omitted.
+% cat raw.md
+% pandoc raw.md -o raw.pdf
+% open raw.pdf
+% pandoc raw.md -s -o raw.html
+% open raw.html
+
+A better approach
+
+
+Example: drop caps
+lettrine package to get dropped
+capitals at the beginning of chapters:
+[This]{.dropcap} is a pulley.
+Example: drop caps
+Span elements with
+class dropcap in the Pandoc AST with something appropriate
+for the output format.Two kinds of filters
+
+
+Example: drop caps
+dropcap.lua:Example: drop caps
+dropcap and its contents begin with a Str element.Example: drop caps
+make_dropcap. It takes a list
+of Inline elements (el.content) and returns a list of
+Inline elements.local function make_dropcap(els)
+ if els[1] and els[1].t == 'Str' then -- arrays start at 1!
+ local first_letter, rest = els[1].text:match('(%a)(.*)')
+ if FORMAT == 'latex' then
+ els[1] = pandoc.RawInline('latex',
+ '\\lettrine{' .. first_letter ..
+ '}{' .. rest .. '}')
+ elseif FORMAT:match('html') then
+ els[1] = pandoc.Span({
+ pandoc.Span(pandoc.Str(first_letter),
+ {class='dropcap-first'}),
+ pandoc.Span(pandoc.Str(rest),
+ {class='dropcap-rest'})})
+ end
+ return els
+ end
+endExample: drop caps
+
+% pandoc -L dropcap.lua -t latex -o dropcap.pdf
+% pandoc -L dropcap.lua -t html -s --css dropcap.css \
+ dropcap.md -o dropcap.htmlExample: tikz diagrams
+
+% cat diagram.md
+% pandoc diagram.md -L diagram-generator.lua -s \
+ --extract-media=media -o diagram.html
+% pandoc diagram.md -L diagram-generator.lua \
+ -o diagram.docxExample: theorems
+theorem environments?
+::: {.theorem #pythagoras}
+#### Pythagoras's Theorem
+In a right triangle, the lengths of the two shorter sides
+$a$, $b$ and the longer side $c$ stand in the relation
+$$
+a^2 + b^2 = c^2.
+$$
+:::Example: theorems
+
+% cat theorem.lua
+% cat theorem.md
+% pandoc -L theorem.lua theorem.md -t latex
+% pandoc theorem.md -L theorem.lua -t plain
+% pandoc theorem.md -L theorem.lua -t rst
+% pandoc theorem.md -L theorem.lua -t htmlThe end
+
+
+Pandoc for TeXnicians
Overview
-
What is pandoc?
-
Pandoc can interpret TeX macros
\newenvironment{warning}%
{\begin{quote}\textbf{WARNING!}}%
{\end{quote}}
-
$\if{\nec \phi}{\phi}$
\begin{warning}
Don't try this at home.
@@ -270,7 +265,6 @@ Limitations
An alternative
-
An alternative
@@ -380,7 +374,6 @@ Limitations of Markdown
Overcoming Markdown’s limitations
-
Pandoc’s extended Markdown syntax
From 26a3371a4a36eeec95724fe56bbb5e7f10dbeecd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?= Pandoc for TeXnicians
- Overview
-
-
-What is pandoc?
-Let’s take it for a spin
-
-% cat simple.tex
-\section{On $e=mc^2$}\label{einstein}
-% pandoc -f latex -t native simple.tex
-% pandoc -f latex -t html simple.tex
-% pandoc -t html --mathml simple.tex
-% pandoc -t html --mathjax simple.tex
-% pandoc -t -html --mathjax -s simple.tex
-% pandoc -t ms simple.tex
-% pandoc -t gfm simple.tex
-% pandoc -t context simple.tex
-% pandoc -t jats simple.texSome math
-Some math
-
-
-% pandoc maths.tex -o maths.docxTake two
-
-% pandoc maths.tex --number-sections -o maths.docx
-% open maths.docx
-
-Going the other way
-
-% pandoc maths.docx -o newmaths.tex -s
-% xelatex newmaths
-% xelatex newmathsConverting to HTML
-
-% pandoc maths.tex -s -o maths.html --mathml \
- --number-sections --toc
-% open maths.htmlComparison with latex2rtf
-
-% latex2rtf maths.tex
-% open -a "Microsoft Word" maths.rtf
-
-Comparison with tex4ht
-
-% make4ht maths
-% open maths.html
-
-Comparison with Word from PDF
-
-% pdflatex maths
-% pdflatex maths
-% open -a "Microsoft Word" maths.pdf
-
-Pandoc can interpret TeX macros
-
-% cat macros.tex
-\newcommand{\nec}{\Box}
-\newcommand{\if}[2]{#1 \rightarrow #2}
-\newenvironment{warning}%
- {\begin{quote}\textbf{WARNING!}}%
- {\end{quote}}
-$\if{\nec \phi}{\phi}$
-\begin{warning}
-Don't try this at home.
-\end{warning}
-% pandoc macros.tex -t htmlPandoc can resolve bibtex citations
-pandoc-citeproc filter (included in
-the released binaries).
-% pandoc --filter pandoc-citeproc bib.tex \
- -t plain --csl ieee.cslLimitations
-
-% cd arxiv.2007.07694v1
-% pandoc arxiv.tex -o arxiv.docxAn alternative
-An alternative
-What is Markdown?
-Appealing things about Markdown
-Real separation of content from formatting.
-
-
-Appealing things about Markdown
-Appealing things about Markdown
-
-
-Limitations of Markdown
-
-
-
-
-
-
-
-
-
-
-
-
-
-Limitations of Markdown
-
-
-
-
-Overcoming Markdown’s limitations
-Pandoc’s extended Markdown syntax
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-pandoc-crossref, by pandoc contributor Nikolay Yakimov.--citeproc filter to resolve citations
-in this syntax:
-Blah blah [@putnam:empirical, p. 33; see also
-@dummett:empirical].Raw TeX in Markdown
-
-
-latex, beamer, or
-context, and otherwise simply omitted.
-% cat raw.md
-% pandoc raw.md -o raw.pdf
-% open raw.pdf
-% pandoc raw.md -s -o raw.html
-% open raw.html
-
-A better approach
-
-
-Example: drop caps
-lettrine package to get dropped
-capitals at the beginning of chapters:
-[This]{.dropcap} is a pulley.
-Example: drop caps
-Span elements with
-class dropcap in the Pandoc AST with something appropriate
-for the output format.Two kinds of filters
-
-
-Example: drop caps
-dropcap.lua:Example: drop caps
-dropcap and its contents begin with a Str element.Example: drop caps
-make_dropcap. It takes a list
-of Inline elements (el.content) and returns a list of
-Inline elements.local function make_dropcap(els)
- if els[1] and els[1].t == 'Str' then -- arrays start at 1!
- local first_letter, rest = els[1].text:match('(%a)(.*)')
- if FORMAT == 'latex' then
- els[1] = pandoc.RawInline('latex',
- '\\lettrine{' .. first_letter ..
- '}{' .. rest .. '}')
- elseif FORMAT:match('html') then
- els[1] = pandoc.Span({
- pandoc.Span(pandoc.Str(first_letter),
- {class='dropcap-first'}),
- pandoc.Span(pandoc.Str(rest),
- {class='dropcap-rest'})})
- end
- return els
- end
-endExample: drop caps
-
-% pandoc -L dropcap.lua -t latex -o dropcap.pdf
-% pandoc -L dropcap.lua -t html -s --css dropcap.css \
- dropcap.md -o dropcap.htmlExample: tikz diagrams
-
-% cat diagram.md
-% pandoc diagram.md -L diagram-generator.lua -s \
- --extract-media=media -o diagram.html
-% pandoc diagram.md -L diagram-generator.lua \
- -o diagram.docxExample: theorems
-theorem environments?
-::: {.theorem #pythagoras}
-#### Pythagoras's Theorem
-In a right triangle, the lengths of the two shorter sides
-$a$, $b$ and the longer side $c$ stand in the relation
-$$
-a^2 + b^2 = c^2.
-$$
-:::Example: theorems
-
-% cat theorem.lua
-% cat theorem.md
-% pandoc -L theorem.lua theorem.md -t latex
-% pandoc theorem.md -L theorem.lua -t plain
-% pandoc theorem.md -L theorem.lua -t rst
-% pandoc theorem.md -L theorem.lua -t htmlThe end
-
-
-Point of View
+ Auto-Animate
+ Auto-Animate
+ Auto-Animate
+ Touch Optimized
+ r-fit-text class to auto-size textFIT TEXT
+ Fragments
+ Fragment Styles
+ Transition Styles
+
+ None -
+ Fade -
+ Slide -
+ Convex -
+ Concave -
+ Zoom
+ Themes
+
+
+ Black (default) -
+ White -
+ League -
+ Sky -
+ Beige -
+ Simple
+ Serif -
+ Blood -
+ Night -
+ Moon -
+ Solarized
+ Slide Backgrounds
+ data-background="#dddddd" on a slide to change the background color. All CSS color formats are supported.
+
+
+ Gradient Backgrounds
+
+ <section data-background-gradient=
+ "linear-gradient(to bottom, #ddd, #191919)">Image Backgrounds
+
+ <section data-background="image.png">Tiled Backgrounds
+
+ <section data-background="image.png" data-background-repeat="repeat" data-background-size="100px">Video Backgrounds
+
+ <section data-background-video="video.mp4,video.webm">... and GIFs!
+ Background Transitions
+
+ Reveal.configure({ backgroundTransition: 'zoom' })Background Transitions
+
+ <section data-background-transition="zoom">Iframe Backgrounds
+ Marvelous List
+
+
+ Fantastic Ordered List
+
+
+ Tabular Tables
+
+
+
+
+
+
+
+ Item
+ Value
+ Quantity
+
+
+ Apples
+ $1
+ 7
+
+
+ Lemonade
+ $2
+ 18
+
+
+
+ Bread
+ $3
+ 2
+ Clever Quotes
+ The nice thing about standards is that there are so many to choose from
and block:
+
+ “For years there has been a theory that millions of monkeys typing at random on millions of typewriters would
+ reproduce the entire works of Shakespeare. The Internet has proven this theory to be untrue.”
+
+ Intergalactic Interconnections
+ Speaker View
+ Export to PDF
+ Global State
+ data-state="something" on a slide and "something"
+ will be added as a class to the document element when the slide is open. This lets you
+ apply broader style changes, like switching the page background.
+ State Events
+ data-state name.
+
+
+Reveal.on( 'customevent', function() {
+ console.log( '"customevent" has fired' );
+} );
+ Take a Moment
+ Much more
+
+
+ THE END
+
+ - Source code & documentation
+
+ - Support: ercetinguler@hotmail.com
+ Code with syntax highlighting
--- | Inefficient quicksort in haskell.
-qsort :: (Enum a) => [a] -> [a]
-qsort [] = []
-qsort (x:xs) = qsort (filter (< x) xs) ++ [x] ++
- qsort (filter (>= x) xs) class FSM(object):
-
-"""This is a Finite State Machine (FSM).
-"""
-
-def __init__(self, initial_state, memory=None):
-
- """This creates the FSM. You set the initial state here. The "memory"
- attribute is any object that you want to pass along to the action
- functions. It is not used by the FSM. For parsing you would typically
- pass a list to be used as a stack. """
-
- # Map (input_symbol, current_state) --> (action, next_state).
- self.state_transitions = {}
- # Map (current_state) --> (action, next_state).
- self.state_transitions_any = {}
- self.default_transition = None
- ...Pandoc for TeXnicians
+ Overview
+
+
+What is pandoc?
+Let’s take it for a spin
+
+% cat simple.tex
+\section{On $e=mc^2$}\label{einstein}
+% pandoc -f latex -t native simple.tex
+% pandoc -f latex -t html simple.tex
+% pandoc -t html --mathml simple.tex
+% pandoc -t html --mathjax simple.tex
+% pandoc -t -html --mathjax -s simple.tex
+% pandoc -t ms simple.tex
+% pandoc -t gfm simple.tex
+% pandoc -t context simple.tex
+% pandoc -t jats simple.texSome math
+Some math
+
+
+% pandoc maths.tex -o maths.docxTake two
+
+% pandoc maths.tex --number-sections -o maths.docx
+% open maths.docx
+
+Going the other way
+
+% pandoc maths.docx -o newmaths.tex -s
+% xelatex newmaths
+% xelatex newmathsConverting to HTML
+
+% pandoc maths.tex -s -o maths.html --mathml \
+ --number-sections --toc
+% open maths.htmlComparison with latex2rtf
+
+% latex2rtf maths.tex
+% open -a "Microsoft Word" maths.rtf
+
+Comparison with tex4ht
+
+% make4ht maths
+% open maths.html
+
+Comparison with Word from PDF
+
+% pdflatex maths
+% pdflatex maths
+% open -a "Microsoft Word" maths.pdf
+
+Pandoc can interpret TeX macros
+
+% cat macros.tex
+\newcommand{\nec}{\Box}
+\newcommand{\if}[2]{#1 \rightarrow #2}
+\newenvironment{warning}%
+ {\begin{quote}\textbf{WARNING!}}%
+ {\end{quote}}
+$\if{\nec \phi}{\phi}$
+\begin{warning}
+Don't try this at home.
+\end{warning}
+% pandoc macros.tex -t htmlPandoc can resolve bibtex citations
+pandoc-citeproc filter (included in
+the released binaries).
+% pandoc --filter pandoc-citeproc bib.tex \
+ -t plain --csl ieee.cslLimitations
+
+% cd arxiv.2007.07694v1
+% pandoc arxiv.tex -o arxiv.docxAn alternative
+An alternative
+What is Markdown?
+Appealing things about Markdown
+Real separation of content from formatting.
+
+
+Appealing things about Markdown
+Appealing things about Markdown
+
+
+Limitations of Markdown
+
+
+
+
+
+
+
+
+
+
+
+
+
+Limitations of Markdown
+
+
+
+
+Overcoming Markdown’s limitations
+Pandoc’s extended Markdown syntax
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+pandoc-crossref, by pandoc contributor Nikolay Yakimov.--citeproc filter to resolve citations
+in this syntax:
+Blah blah [@putnam:empirical, p. 33; see also
+@dummett:empirical].Raw TeX in Markdown
+
+
+latex, beamer, or
+context, and otherwise simply omitted.
+% cat raw.md
+% pandoc raw.md -o raw.pdf
+% open raw.pdf
+% pandoc raw.md -s -o raw.html
+% open raw.html
+
+A better approach
+
+
+Example: drop caps
+lettrine package to get dropped
+capitals at the beginning of chapters:
+[This]{.dropcap} is a pulley.
+Example: drop caps
+Span elements with
+class dropcap in the Pandoc AST with something appropriate
+for the output format.Two kinds of filters
+
+
+Example: drop caps
+dropcap.lua:Example: drop caps
+dropcap and its contents begin with a Str element.Example: drop caps
+make_dropcap. It takes a list
+of Inline elements (el.content) and returns a list of
+Inline elements.local function make_dropcap(els)
+ if els[1] and els[1].t == 'Str' then -- arrays start at 1!
+ local first_letter, rest = els[1].text:match('(%a)(.*)')
+ if FORMAT == 'latex' then
+ els[1] = pandoc.RawInline('latex',
+ '\\lettrine{' .. first_letter ..
+ '}{' .. rest .. '}')
+ elseif FORMAT:match('html') then
+ els[1] = pandoc.Span({
+ pandoc.Span(pandoc.Str(first_letter),
+ {class='dropcap-first'}),
+ pandoc.Span(pandoc.Str(rest),
+ {class='dropcap-rest'})})
+ end
+ return els
+ end
+endExample: drop caps
+
+% pandoc -L dropcap.lua -t latex -o dropcap.pdf
+% pandoc -L dropcap.lua -t html -s --css dropcap.css \
+ dropcap.md -o dropcap.htmlExample: tikz diagrams
+
+% cat diagram.md
+% pandoc diagram.md -L diagram-generator.lua -s \
+ --extract-media=media -o diagram.html
+% pandoc diagram.md -L diagram-generator.lua \
+ -o diagram.docxExample: theorems
+theorem environments?
+::: {.theorem #pythagoras}
+#### Pythagoras's Theorem
+In a right triangle, the lengths of the two shorter sides
+$a$, $b$ and the longer side $c$ stand in the relation
+$$
+a^2 + b^2 = c^2.
+$$
+:::Example: theorems
+
+% cat theorem.lua
+% cat theorem.md
+% pandoc -L theorem.lua theorem.md -t latex
+% pandoc theorem.md -L theorem.lua -t plain
+% pandoc theorem.md -L theorem.lua -t rst
+% pandoc theorem.md -L theorem.lua -t htmlThe end
+
+
+Point of View
- Auto-Animate
- Auto-Animate
- Auto-Animate
- Touch Optimized
- r-fit-text class to auto-size textFIT TEXT
- Fragments
- Fragment Styles
- Transition Styles
-
- None -
- Fade -
- Slide -
- Convex -
- Concave -
- Zoom
- Themes
-
-
- Black (default) -
- White -
- League -
- Sky -
- Beige -
- Simple
- Serif -
- Blood -
- Night -
- Moon -
- Solarized
- Slide Backgrounds
- data-background="#dddddd" on a slide to change the background color. All CSS color formats are supported.
-
-
- Gradient Backgrounds
-
- <section data-background-gradient=
- "linear-gradient(to bottom, #ddd, #191919)">Image Backgrounds
-
- <section data-background="image.png">Tiled Backgrounds
-
- <section data-background="image.png" data-background-repeat="repeat" data-background-size="100px">Video Backgrounds
-
- <section data-background-video="video.mp4,video.webm">... and GIFs!
- Background Transitions
-
- Reveal.configure({ backgroundTransition: 'zoom' })Background Transitions
-
- <section data-background-transition="zoom">Iframe Backgrounds
- Marvelous List
-
-
- Fantastic Ordered List
-
-
- Tabular Tables
-
-
-
-
-
-
-
- Item
- Value
- Quantity
-
-
- Apples
- $1
- 7
-
-
- Lemonade
- $2
- 18
-
-
-
- Bread
- $3
- 2
- Clever Quotes
- The nice thing about standards is that there are so many to choose from
and block:
-
- “For years there has been a theory that millions of monkeys typing at random on millions of typewriters would
- reproduce the entire works of Shakespeare. The Internet has proven this theory to be untrue.”
-
- Intergalactic Interconnections
- Speaker View
- Export to PDF
- Global State
- data-state="something" on a slide and "something"
- will be added as a class to the document element when the slide is open. This lets you
- apply broader style changes, like switching the page background.
- State Events
- data-state name.
-
-
-Reveal.on( 'customevent', function() {
- console.log( '"customevent" has fired' );
-} );
- Take a Moment
- Much more
-
-
- THE END
-
- - Source code & documentation
-
- - Support: ercetinguler@hotmail.com
- Code with syntax highlighting
+-- | Inefficient quicksort in haskell.
+qsort :: (Enum a) => [a] -> [a]
+qsort [] = []
+qsort (x:xs) = qsort (filter (< x) xs) ++ [x] ++
+ qsort (filter (>= x) xs) class FSM(object):
+
+"""This is a Finite State Machine (FSM).
+"""
+
+def __init__(self, initial_state, memory=None):
+
+ """This creates the FSM. You set the initial state here. The "memory"
+ attribute is any object that you want to pass along to the action
+ functions. It is not used by the FSM. For parsing you would typically
+ pass a list to be used as a stack. """
+
+ # Map (input_symbol, current_state) --> (action, next_state).
+ self.state_transitions = {}
+ # Map (current_state) --> (action, next_state).
+ self.state_transitions_any = {}
+ self.default_transition = None
+ ...
From 3cf165e071e336993763990cda9f4fbc1aeaf335 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?=
The end
+
From dc1f1e7ab32b7bce71063a268a8b1baa2fa15872 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?= The end
-
+
-
-
-
+
+
Code with syntax highlighting
-The end
-
-
+
-
-
+
+
+
Code with syntax highlighting
-Code with syntax highlighting
+Code with syntax highlighting
...Code with syntax highlighting
+-- | Inefficient quicksort in haskell.
+qsort :: (Enum a) => [a] -> [a]
+qsort [] = []
+qsort (x:xs) = qsort (filter (< x) xs) ++ [x] ++
+ qsort (filter (>= x) xs) class FSM(object):
+
+"""This is a Finite State Machine (FSM).
+"""
+
+def __init__(self, initial_state, memory=None):
+
+ """This creates the FSM. You set the initial state here. The "memory"
+ attribute is any object that you want to pass along to the action
+ functions. It is not used by the FSM. For parsing you would typically
+ pass a list to be used as a stack. """
+
+ # Map (input_symbol, current_state) --> (action, next_state).
+ self.state_transitions = {}
+ # Map (current_state) --> (action, next_state).
+ self.state_transitions_any = {}
+ self.default_transition = None
+ ...The end
});
-
-
-
-
-
-
-
- Code with syntax highlighting
--- | Inefficient quicksort in haskell.
-qsort :: (Enum a) => [a] -> [a]
-qsort [] = []
-qsort (x:xs) = qsort (filter (< x) xs) ++ [x] ++
- qsort (filter (>= x) xs) class FSM(object):
-
-"""This is a Finite State Machine (FSM).
-"""
-
-def __init__(self, initial_state, memory=None):
-
- """This creates the FSM. You set the initial state here. The "memory"
- attribute is any object that you want to pass along to the action
- functions. It is not used by the FSM. For parsing you would typically
- pass a list to be used as a stack. """
-
- # Map (input_symbol, current_state) --> (action, next_state).
- self.state_transitions = {}
- # Map (current_state) --> (action, next_state).
- self.state_transitions_any = {}
- self.default_transition = None
- ...Code with syntax highlighting
--- | Inefficient quicksort in haskell.
-qsort :: (Enum a) => [a] -> [a]
-qsort [] = []
-qsort (x:xs) = qsort (filter (< x) xs) ++ [x] ++
- qsort (filter (>= x) xs) class FSM(object):
-
-"""This is a Finite State Machine (FSM).
-"""
-
-def __init__(self, initial_state, memory=None):
-
- """This creates the FSM. You set the initial state here. The "memory"
- attribute is any object that you want to pass along to the action
- functions. It is not used by the FSM. For parsing you would typically
- pass a list to be used as a stack. """
-
- # Map (input_symbol, current_state) --> (action, next_state).
- self.state_transitions = {}
- # Map (current_state) --> (action, next_state).
- self.state_transitions_any = {}
- self.default_transition = None
- ...The end
-
+ Code with syntax highlighting
+-- | Inefficient quicksort in haskell.
+qsort :: (Enum a) => [a] -> [a]
+qsort [] = []
+qsort (x:xs) = qsort (filter (< x) xs) ++ [x] ++
+ qsort (filter (>= x) xs) class FSM(object):
+
+"""This is a Finite State Machine (FSM).
+"""
+
+def __init__(self, initial_state, memory=None):
+
+ """This creates the FSM. You set the initial state here. The "memory"
+ attribute is any object that you want to pass along to the action
+ functions. It is not used by the FSM. For parsing you would typically
+ pass a list to be used as a stack. """
+
+ # Map (input_symbol, current_state) --> (action, next_state).
+ self.state_transitions = {}
+ # Map (current_state) --> (action, next_state).
+ self.state_transitions_any = {}
+ self.default_transition = None
+ ...
+
+
The end
});
-
From 54f56be84dc2d9044ef5df281135f31dc50deeb8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Er=C3=A7etin=20G=C3=BCler?= The end
pre > code.sourceCode { white-space: pre-wrap; }
pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
}
+ Some bugs
+Code with syntax highlighting
...Some bugs
+Some bugs
pre.numberSource { margin-left: 3em; border-left: 1px solid #a0a0a0; padding-left: 4px; }
div.sourceCode
{ color: #1f1c1b; background-color: #ffffff; }
+ Some bugs
The end
});
-
-
-
-
-
-
- Code with syntax highlighting
--- | Inefficient quicksort in haskell.
-qsort :: (Enum a) => [a] -> [a]
-qsort [] = []
-qsort (x:xs) = qsort (filter (< x) xs) ++ [x] ++
- qsort (filter (>= x) xs) class FSM(object):
-
-"""This is a Finite State Machine (FSM).
-"""
-
-def __init__(self, initial_state, memory=None):
-
- """This creates the FSM. You set the initial state here. The "memory"
- attribute is any object that you want to pass along to the action
- functions. It is not used by the FSM. For parsing you would typically
- pass a list to be used as a stack. """
-
- # Map (input_symbol, current_state) --> (action, next_state).
- self.state_transitions = {}
- # Map (current_state) --> (action, next_state).
- self.state_transitions_any = {}
- self.default_transition = None
- ...Some bugs
-
+
+
l08;TWARq6@1ZKGf9*fF$g*G{p~g&sxjnfa$|^W&MH
zrz(7eSj%tnA8*
@Pcs{=>SaX&s0i$hqdd_^@YF?V<+E@94&U2u|!