dill
usaddress
| dill | usaddress | |
|---|---|---|
| 5 | 5 | |
| 2,153 | 1,490 | |
| 2.0% | 0.4% | |
| 6.9 | 0.0 | |
| 11 days ago | 4 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dill
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Twitter to end free access to its API in Elon Musk’s latest monetization push
Would this help? I see a few references to people successfully serializing BS4 objects with it: https://github.com/uqfoundation/dill
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Pickle is over 10 times faster than joblib for save and load scikit-learn models
Thanks! Didn't know about it. Here is a link to its repo https://github.com/uqfoundation/dill
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Which of your favorite Python 3.11 packages lack Python 3.11 support?
Not sure, but I think it has to do with an issue in dill. Will keep an eye on it for a while.
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What can multiprocessing and dill do together?
In [1]: import pickleIn [2]: pickle.dumps(lambda x: x)PicklingError: Can't pickle at 0x23c0e60>: it's not found as __main__. Fortunately there is dill a more robust pickle. Apparently dill performs magic on import to make pickle work
- Emacs Lisp Readable Closures
usaddress
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Which of your favorite Python 3.11 packages lack Python 3.11 support?
Usaddress https://github.com/datamade/usaddress
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Script to split addresses in Google Sheets?
Assuming you’re working with addresses in the US, here’s a Python package that should help: https://github.com/datamade/usaddress
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PyWhat: Identify Anything
Some great probabilistic python libraries:
https://github.com/datamade/usaddress - "usaddress is a Python library for parsing unstructured address strings into address components, using advanced NLP methods."
https://github.com/datamade/probablepeople - "probablepeople is a python library for parsing unstructured romanized name or company strings into components, using advanced NLP methods."
- Turning unstructured address data into a structure Salesforce Address Field
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Fuzzy Name Matching in Postgres
For address parsing, I've had good luck with this package: https://github.com/datamade/usaddress
What are some alternatives?
serializable-fn - Serializable functions in Clojure
libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
Invoke - Pythonic task management & command execution.
pyWhat - 🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙♀️
CPython - The Python programming language
probablepeople - :family: a python library for parsing unstructured western names into name components.
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
ctparse - Parse natural language time expressions in python
SymSpell - SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
FuckIt.py - The Python error steamroller.
hachoir - Hachoir is a Python library to view and edit a binary stream field by field
addok - Search engine for address. Only address.