Have you ever wondered if you could put a progress bar in your terminal to reassure you that your script is still running?
Enter the Python Fish:
>))’>
The Python Fish progress bar could be just what you were looking for! The Fish is a Python module that makes any program look awesome and displays useful data while munching away on your data.
Check it out in action:
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Install it with easy_install or fork it on github: https://github.com/lericson/fish
Here are some the basic resources needed for tomorrows Python Install Fest:
Notes and Installation Instructions
These resources were created by Eric Oliver and me (Rob Johnson), they are provided for free but are in no way exhaustive – there are many ways to do this.
This week we have the inaugural DaSH PUG (Python Users Group) meeting and to kick it all off we are running a Python Install Fest.
This session is for people who have thought about using Python but don’t know where to start. During the Install Fest we will help you to install a scientifically capable version of Python and to run a couple of simple test examples.
All operating systems are welcome.
Where:
IMAS Aurora Lecture Theatre – it’s the big lecture theatre on the left as you walk into the waterfront building foyer – 20 Castray Esplanade, Battery Point, next to CSIRO.
When:
Friday 9th May, 9:15am to 10am.
IPython 2.0 is actually out now! Yay! (https://pypi.python.org/pypi/ipython)
If you don’t believe me then just:
pip install --upgrade ipython
See what’s new at http://ipython.org/ipython-doc/2/whatsnew/version2.0.html
but the highlights are:
You can check out the example IPython notebooks http://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/Index.ipynb on nbviewer.
The guys and gals at IPython HQ are asking that we all please give it a test. They plan to have 2.0.1 released within a month – based on the initial feedback.
Bring on the bug reports!
Last week we had the exquisite Jess Melbourne-Thomas talk to us about her experience making mathematical models of the real world from scratch.
Her slides, with a rather fitting title, can be viewed here: “Just like lego: the building blocks for ecosystem modelling”
Tired of those ugly plots? Want to learn how to make your figures look nicer?
Python (may be) the answer for you.
Last week (Fri 21st Mar 2014) the super science man Eric Oliver gave us an Oceanographers perspective of plotting in Python. Here are his resources and lecture slides, including a brief into ‘how to’ and then some demos for plotting typical oceanography data (time series, maps, T-S diagrams, etc…).
Tired of those ugly plots? Want to learn how to make your figures look nicer? Python (may be) the answer for you. This talk will be about plotting in python including a brief into on how to do it and then some demos for plotting typical oceanography data (time series, maps, T-S diagrams, etc…).
For our meeting this week we have an Oceanographers perspective of plotting in Python, from super science man Eric Oliver.
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— Here’s a map —
Data Science Hobart 