Pushed to zunzuncode/flaskfit
97092ff Updated for pip matplotlib dependency PNG files
Welcome to FlaskFit, an example of creating a web-based curve and surface fitting tool with Python Flask and the pyeq3 fitting library. see http://zunzun/com/CommonProblems/ Step 1: Install flask, scipy and matplotlib On Debian or Ubuntu Linux, you can use this command: sudo apt-get install python3-flask python3-scipy python3-matplotlib python3-pil On other operating systems, try the Canopy Express Free version: https://store.enthought.com/ and install Flask with: easy_install Flask Finally, install the pyeq3 fitting library using pip: pip3 install pyeq3 Step 2: Run the FlaskFit example From a command prompt run this command: python3 FlaskFit.py The command prompt should then display: * Running on http://0.0.0.0:5000/ When you open this URL you should see a form that allows curve and surface fitting, with graphs. The address "0.0.0.0" allows port 5000 to be seen externally. On my development laptop, I can open the URL "127.0.0.1:5000/" and see the web server. Use Control-C to exit the Flask development server. Step 3: Celebrate You are now curve and surface fitting data using Flask! If you would like to create a feature complete web site with django, see https://bitbucket.org/zunzuncode/zunzunsite3 which has "function finding" and animated surface rotations along with SMP parallel processing for multi-core servers.