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Learn Python by executing code online and visualizing data structures
hcientist/OnlinePythonTutor
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Online Python Tutor Copyright (C) 2010 Philip J. Guo (philip@pgbovine.net) https://github.com/pgbovine/OnlinePythonTutor/ This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. ====== Introduction: The Online Python Tutor is a web application where you can type Python scripts directly into your web browser, execute those scripts, and single-step FORWARDS AND BACKWARDS through execution in order to view the run-time state of all data structures. Using this tool, teachers and students can write small Python code snippets together and see what happens to the data structures when the code gets executed. Try it out live at: http://www.onlinepythontutor.com/ ====== System architecture overview: The Online Python Tutor is implemented as a web application, with a JavaScript front-end making AJAX calls to a pure-Python back-end. The back-end has been tested on an Apache server running Python 2.5 through CGI. Note that it will probably fail in subtle ways on other Python 2.X (and will DEFINITELY fail on Python 3.X). Peter Wentworth has create a port to Python 3.X, and hopefully we can eventually integrate his code into my repository. The front-end is HTML/JavaScript (using the jQuery library). It's responsible for the input text box, submitting the Python code (as plaintext) to the back-end, receiving an execution trace from the back-end, and then rendering that trace as data structure visualizations. The front-end code resides in these files in the current directory: tutor.html question.html edu-python.js edu-python-tutor.js edu-python-questions.js edu-python.css jquery.textarea.js .htaccess - to increase the size of allowed Apache HTTP responses (there are also other 3rd-party JavaScript library files) Note on .htaccess: If your server limits the size of responses received from HTTP requests, then you might need to use the following .htaccess file included in your top-level (front-end) directory, to allow the Online Python Tutor to receive traces from the back-end: <IfModule mod_security.c> # Set a ~2MB limit for response headers (bigger than default 512K limit) SecResponseBodyLimit 2000000 </IfModule> The back-end is a server-side CGI application that takes Python script source code as input, executes the entire script (up to 200 executed lines, to prevent infinite loops), and collects a full trace of all variable values (i.e., data structures) after each line has been executed. It then sends that full trace to the front-end in a specially-encoded JSON format. The front-end then parses and visualizes that trace and allows the user to single-step forwards AND backwards through execution. The back-end resides in the cgi-bin/ sub-directory in this repository: cgi-bin/web_exec.py - the CGI entrance point to the back-end cgi-bin/web_run_test.py - the CGI entrance point to the question grading back-end cgi-bin/pg_logger.py - the 'meat' of the back-end cgi-bin/pg_encoder.py - encodes Python data into JSON cgi-bin/demjson.py - 3rd-party JSON module, since Python 2.5 doesn't have the built-in 'import json' cgi-bin/create_db.py - for optional sqlite query logging cgi-bin/db_common.py - for optional sqlite query logging cgi-bin/.htaccess - for Apache CGI execute permissions Due to the AJAX same-origin policy, the front-end and back-end must be deployed on the same server (unless you do some fancy proxy magic). ====== Original founding vision (from January 2010): I want to create a web-based interactive learning platform for students to explore programming. I envision an HTML UI where a student can enter in code and then single-step through it and see how the data structures change during execution. Key insight: I realized that for the small programs that teachers and students write for educational purposes, it's possible to simply LOG everything that happens to data structures during execution. Then we can simply play back that log in the front-end, which allows single-stepping forwards and also BACKWARDS. After all, we don't need students to be able to interactive probe and make changes in the middle of execution, which is the only value-added of a REAL debugger. What kinds of things do we want to log? On the execution of each line, log: - the line number just executed - all data created by the program Also log calls and returns of a student's function (but NOT library functions) We can use the Python JSON module to encode data structures in JSON and send it to the client's web browser The PDB debugger (Lib/pdb.py) is written in pure Python: http://docs.python.org/library/pdb.html - the bdb debugger framework is the C module that pdb calls http://docs.python.org/library/bdb.html
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