- a library that reads Micro$oft Excel files directly.
- Python replacement for that horrendous but ubiquitously useful program called Make.
- a detailed example in Python on how to create custom plots with rich data manipulations using matplotlib. This is the kind of stuff I do, day-in day-out.
- library to do simple parallel processing.
- a pure Python-based database engine.
- an introduction all the different modules in the Python standard library, using examples.
- library that turns html to pdf.
- library to edit image files.
Why these libraries might be plausibly useful? Perhaps I want to run a bunch of programs on a cluster using data that a colleague sent me in Excel format. I’d store the results in a database and when the calculation is finished, I extract the data to generate different plots of the data. But the plots may not be in the correct size or resolution so I’d have to crop and resize them before combining them into an easy to read html file, with which, I’d convert to pdf, and mail off to my colleague.
With these libraries, I can do all that in one single Python script.
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