Sessions at PyCon AU 2011 aboutĀ matplotlib

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Sunday 21st August 2011

  • Python for Science and Engineering, Part 1

    by Python Charmers

    This is Part 1 of a showcase in solving a variety of interesting scientific and engineering problems using Python, NumPy, and SciPy, and producing beautiful plots with Matplotlib.

    The focus is on the "wow" factor: "Wow! You can do all that in just a few lines of Python?!"

    The topics discussed are:
    - speech and image recognition (how to be head-hunted by Google)
    - bioinformatics (how to cure cancer)
    - statistical modelling (how to predict the stock market)

    The intended audience is graduates in science and engineering disciplines; Python users who want to know more about what's possible with tools like NumPy and SciPy; and users of high-level packages like Matlab or R and low-level languages like Fortran who want to get more interesting work done with less effort.

    At 10:20am to 12:10pm, Sunday 21st August

  • Python for Science and Engineering, Part 2

    by Python Charmers

    This is Part 2 of a showcase in solving a variety of interesting scientific and engineering problems using Python, NumPy, and SciPy, and producing beautiful plots with Matplotlib.

    The focus is on the "wow" factor: "Wow! You can do all that in just a few lines of Python?!"

    Sample topics discussed include:
    - speech and image recognition (how to be head-hunted by Google)
    - bioinformatics (how to cure cancer)
    - statistical modelling (how to predict the stock market)

    The intended audience is graduates in science and engineering disciplines; Python users who want to know more about what's possible with tools like NumPy and SciPy; and users of high-level packages like Matlab or R and low-level languages like Fortran who want to get more interesting work done with less effort.

    At 1:10pm to 2:50pm, Sunday 21st August