redis-py | NLTK | |
---|---|---|
19 | 64 | |
12,269 | 13,035 | |
0.7% | 0.8% | |
8.9 | 8.1 | |
3 days ago | 15 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
redis-py
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Solving a critical bug in the default Rails caching library
My jaw dropped when I saw the postmortem — it was exactly the same bug concept, just in a different library! A reminder that hard things often transcend particular languages and libraries. And boy, is this a hard bug. It sits at the intersection of caching, shared resource management, and state corruption — infamously tricky problem spaces.
- ChatGPT banned with immediate effect in Italy.
- NGL, they had me in the first half!
- OpenAI CEO 'feels awful' after ChatGPT leaks conversations, payment info
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OpenAI leaks Credit card info
Oof https://github.com/redis/redis-py/issues/2665 It seems it’s not fully patched.
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March 20 ChatGPT outage: Here’s what happened
There is a 1 year old open bug which is almost very similar to OpenAI's issue, which was autclosed: https://github.com/redis/redis-py/issues/2028
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Konohagakure Search
redis
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How to implement server push in Flask framework?
I used Juggernaut, but it seems to be not working with redis-py in current version, and Juggernaut has been deprecated recently.
- Websockets and streaming data
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What do you guys think about Zig's approach to async?
https://github.com/andymccurdy/redis-py https://github.com/aio-libs/aioredis
NLTK
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Building a local AI smart Home Assistant
alternatively, could we not simply split by common characters such as newlines and periods, to split it within sentences? it would be fragile with special handling required for numbers with decimal points and probably various other edge cases, though.
there are also Python libraries meant for natural language parsing[0] that could do that task for us. I even see examples on stack overflow[1] that simply split text into sentences.
[0]: https://www.nltk.org/
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Sorry if this is a dumb question but is the main idea behind LLMs to output text based on user input?
Check out https://www.nltk.org/ and work through it, it'll give you a foundational understanding of how all this works, but very basically it's just a fancy auto-complete.
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Best Portfolio Projects for Data Science
NLTK Documentation
- Where to start learning NLP ?
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Is there a programmatic way to check if two strings are paraphrased?
If this is True, then you need also Natural Language Toolkit to process the words.
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[CROSS-POST] What programming language should I learn for corpus linguistics?
In that case, you should definitely have a look at Python's nltk library which stands for Natural Language Toolkit. They have a rich corpus collection for all kinds of specialized things like grammars, taggers, chunkers, etc.
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Transition to ml, starting with LLM
If not, start with Python's Natural Language Toolkit.
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Learning resources for NLP
Try https://www.nltk.org it runs you through the basics. The book is here
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Which programming language should I learn for NLP and computational linguistics?
In terms of programming languages, Python is a great first programming language. the learnpython subreddit has lots of good recommendations for resources to get started. Once you're comfortable with the language, NLTK would be a good place to start, and the docs have heaps of examples. Check it out https://www.nltk.org/
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Python for stock analysis?
The most popular library to do this is NLTK though I believe you can use some of the popular AI API services today as well. Bloomberg launched one.
What are some alternatives?
kafka-python - Python client for Apache Kafka
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
PyMongo - MongoDB Ecosystem Documentation
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
django-redis - Full featured redis cache backend for Django.
bert - TensorFlow code and pre-trained models for BERT
py2neo - Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.
polyglot - Multilingual text (NLP) processing toolkit
Plyvel - Plyvel, a fast and feature-rich Python interface to LevelDB
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)