This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.
To capture the video (filesize: 19MB), using the free "QuickTime Player" application:
| <?php | |
| // Include the SMSifed class. | |
| require 'path/to/smsified.class.php'; | |
| // SMSified Account settings. | |
| $username = "username"; | |
| $password = "password"; | |
| $senderAddress = "9999999999"; |
| var PROXY = { | |
| "direct":"DIRECT", | |
| "gfw":"PROXY 127.0.0.1:8123" | |
| }; | |
| var DEFAULT = "direct"; | |
| var SECTIONS = [ | |
| { | |
| "name":"direct", |
| 1. Find your texbin directory. This is usually /usr/texbin, which is symlinked to wherever the actual directory is. | |
| 2. Add it to your PATH (i.e. `# export PATH=/usr/texbin:$PATH`) | |
| 3. Run the 'htlatex' command. This will convert your LaTeX file into an HTML document. Note that this really just a script around normal LaTeX, so you'll have to do the usual things (htlatex -> bibtex -> htlatex for citations, htlatex -> htlatex for references). I think: I had my LaTeX all PDF-LaTeXed and ready to go, so all the .bib/.toc/etc. files had already been created. | |
| 3.1. You might want to run 'htlatex file.tex "xhtml,fn-in"' if you have footnotes. Without that option, footnotes will be put into their own HTML file. | |
| 4. At this point, you have an HTML file. Check it and make sure it's good enough. | |
| 5. Open the HTML file in TextEdit. Oddly enough, Pages can't open HTML files, but TextEdit can. Go figure. | |
| 6. TextEdit can now save your file as an RTF or Doc file. | |
| 7. Success! |
| To enable any of there plugins, go to: `Settings` -> `Plugins` | |
| You'll find plugins in the first page, to get the others press `Browse repositories...` button. | |
| - Apache config (.htaccess) support | |
| - Bootstrap | |
| - Color Ide | |
| - CSS Support | |
| - EditorConfig | |
| - File Watchers | |
| - Git Integration |
| #!/usr/bin/env python | |
| import rospy | |
| from sensor_msgs.msg import LaserScan | |
| rospy.init_node('laser_scan_publisher') | |
| scan_pub = rospy.Publisher('scan', LaserScan, queue_size=50) | |
| num_readings = 100 |