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Fix bug in ast parsing for python 2.7
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- use descriptors for examination | ||
- things almost end up looking like ASM files. And that's okay! | ||
- use orderd dicts. they make debugging real damn easy | ||
- END sentinels (i.e. okay, good, stop processing) | ||
- Add note on clojure influence | ||
- Add note: This is mostly experimental. I use this to continue to play in a | ||
open frontiner. But plenty of solutions do this. | ||
- Pretty HTML failure objects (more than just a dict) | ||
- naming convention | ||
- Renaming Effort | ||
- Failure sets | ||
- Non-linearized flow (lasso) | ||
- IPython displays | ||
- Widget interactors | ||
- %run -i convention (actually, some magic) | ||
- Trim execution stack so vaquero is never in path. | ||
- generate_unit_test | ||
- smart sampler (named exceptions) | ||
- tab complete | ||
- fork-join merge | ||
- .n_failures | ||
- .merge | ||
- does this affect sub-failures? | ||
- no with pattern | ||
- refactor unit tests | ||
- enforce 'key': "value" pattern for my strings | ||
- if 'k' exists then -> onto value pattern | ||
- counting collector | ||
- Assertions in the module (pipeline) make sense | ||
- this is about debugging data, debugging by another name | ||
- use ipython's superreload() | ||
- use unittest assertions in code, and it works? | ||
- look at things like python's block comment -- i.e. reuse of """""" | ||
- for one-off things, the code is not production code. it's held to a diff | ||
standard. but, that doesn't mean there aren't good proactices, they are just | ||
tailored | ||
- underscores are your friend (conventions. easy to strip. python) | ||
- THIS PATTERN: | ||
y_col = 'accept' | ||
X_cols = [k for k in df.columns if k != y_col and not k.startswith('_')] | ||
- envorimental keys? 'staging', 'dev', 'production' |
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