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Learn Python by executing code online and visualizing data structures http://pythontutor.com
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Online Python Tutor http://pythontutor.com/ https://github.com/pgbovine/OnlinePythonTutor/ Copyright (C) 2010-2013 Philip J. Guo (email@example.com) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ====== Summary: Online Python Tutor enables teachers and students to write Python programs directly in the web browser, execute those programs, and then step forwards and backwards through execution to view the run-time state of data structures. So far, over 100,000 people have used Online Python Tutor to understand and debug their programs, often as a supplement to textbooks, lecture notes, and online programming tutorials. --- All documentation is viewable online at: https://github.com/pgbovine/OnlinePythonTutor/tree/master/v3/docs --- Repository contents: tl;dr: the v3/ sub-directory contains the latest version of the code. v1-v2/ Online Python Tutor version 1 - released on January 19, 2010 "Release" email to 15 friends: Subject: version 0.0000001alpha of my online Python tutor Body: ''' hi python fans (and non-fans) ... this is what i've been hacking on for the past few days instead of doing my research ;) i'm planning to use it as a platform for creating interactive online programming tutorials as part of a volunteer project ... http://python.pgrind.com/ it'd be great to get your feedback on what i have so far. i'd love to hear suggestions or complaints. thanks in advance! please don't share this link yet, mostly because my app is still buggy and insecure (i definitely don't want random peoples from the internet trying to hack it right now!) pg ''' Online Python Tutor version 2 - released on October 4, 2011 "Release" email to 13 friends: Subject: Re: version 0.0000001alpha of my online Python tutor Body: ''' Dear subset of people who cared about my prior email from almost 2 years ago ... I've recently kicked it up a notch with a "2.0" version and am about to do a public release soon. I'd really appreciate any feedback, criticism, and especially bug reports on Internet Explorer ;) http://people.csail.mit.edu/pgbovine/opt-prerelease/ Please don't share the link yet since it will be dead soon when I move this app to its permanent home. I just want to get some early feedback to eliminate the obviously embarrassing bugs before launch. THANKS! pg ''' v3/ Online Python Tutor version 3 - Released on September 18, 2012 to 153,000+ people on Google+: https://plus.google.com/+ResearchatGoogle/posts/cseo9qi7LWq "Release" announcement from the Research @ Google G+ account: ''' Online Python Tutor: Web-Based Program Visualization for CS Education As part of his CS education work at Google, +Philip Guo has been developing an open-source educational tool called Online Python Tutor (http://www.pythontutor.com). This tool enables teachers and students to write Python programs directly in the web browser and then single-step forwards and backwards to visualize what the computer is doing as it executes those programs. Program visualization for CS education is nothing new -- researchers have been developing these sorts of tools for decades. However, most of these tools never reach far beyond the confines of the researchers' home universities due to the difficulty of installing and configuring the visualization software. What makes Online Python Tutor unique and effective is that it's the first known tool to adapt time-tested ideas from the research literature (e.g., rendering of box-and-pointer diagrams) for a web-based environment. Now anyone with a modern browser can create, explore, and share their program visualizations by simply visiting a web URL. This ease of access has been a major contributor to adoption: So far, over 100,000 people have used Online Python Tutor to understand and debug their programs, often as a supplement to learning from textbooks, lecture notes, and online programming tutorials. In addition, instructors in over a dozen universities such as MIT, UC Berkeley, and the University of Washington have used it for teaching introductory computer science courses. But this is just the beginning. Philip and his colleagues are now building an online authoring environment so that, within the next few months, teachers and students will be able to save their code snippets and add annotations, discussion threads, lessons, and interactive exercises on top of the associated visualizations. They are also actively seeking partnerships with educators at all grade levels to deploy and improve Online Python Tutor. Please contact Philip directly or re-share this post with educators who might be interested in working with this tool in any capacity. Visit www.pythontutor.com to learn more and to start visualizing your Python programs now! ''' --- Acknowledgments John DeNero - for helping with the official Python 3 port and lots of code patches Chris Horne - https://github.com/lahwran - for security tips Joshua Landau - firstname.lastname@example.org - for security tips Peter Wentworth and his students - for working on the original Python 3 fork Brad Miller - for adding pop-up question dialogs to visualizations David Pritchard - for some enhancements to front-end Peter Robinson - for v3/make_visualizations.py Chris Meyers - for custom visualizations such as v3/matrix.py and v3/htmlFrame.py Irene Chen - for holistic visualization mode -- v3/js/holistic.js For advice and feedback from an instructor's perspective: Jennifer Campbell John Dalbey Fredo Durand Michael Ernst David Evans Paul Gries Adam Hartz Tomas Lozano-Perez Bertram Ludaescher Brad Miller Rob Miller Peter Norvig Andrew Petersen David Pritchard Suzanne Rivoire David Wilkins