NLTK
WeasyPrint
NLTK | WeasyPrint | |
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64 | 43 | |
13,035 | 6,646 | |
0.8% | 1.4% | |
8.1 | 9.5 | |
14 days ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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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.
WeasyPrint
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Launch HN: Onedoc (YC W24) – A better way to create PDFs
Is there a reason you didn't consider something like Weasyprint?
https://weasyprint.org
I've gone through a number of systems to convert CV's, business cards, and other docs and it hasn't let me down yet.
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CSS for Printing to Paper
You don't _have_ to use a browser. I had very good results with Weasyprint [0]. And there's also PrinceXML [1] if you're willing to pay.
[0]: https://weasyprint.org/
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Show HN: A new open-source library to design PDF using React
Thanks for your answer! I imagined you would be using PrinceXML behind the scenes since that is probably the gold standard in HTML+CSS rendering.
The only open source alternative I know of is WeasyPrint at https://weasyprint.org/. I'm not sure how well it fares against PrinceXML, though.
And thanks for the pointer to Taffy - I didn't know it before!
- 1.5M PDFs in 25 Minutes
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Htmldocs: Typeset and Generate PDFs with HTML/CSS
Flexbox support has been [included][1] since 2018, although my use case was the prototypical one - a single row w/ 3 columns - so YMMV with how it handles more complex layouts.
[1]: https://github.com/Kozea/WeasyPrint/pull/579
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How to Simply Generate a PDF From HTML in Symfony With WeasyPrint
Performance is not the strength of WeasyPrint, meaning that heavy HTML files will increase generation time. You should always compress images before attaching them, as they are not compressed by default. Generating a 50-page-long PDF may take up to a minute in extreme cases, although multi-page documents generated on my project take fewer than 2 seconds to generate.
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Show HN: Invoice Dragon – An Open Source App to Create PDF Invoices for Free
For Python there is Weasyprint: you prepare the invoice as an HTML document, and Weasyprint turns it into a PDF
https://weasyprint.org/
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The Gemini protocol seen by this HTTP client person (curl dev)
Well yes, but you can implement HTML+CSS. WeasyPrint did from scratch, and independent implementations of HTML+CSS are considerably more numerous than HTML+CSS+JS.
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Library to convert HTML to pdf in Golang
In a recent project I used https://github.com/Kozea/WeasyPrint/ it is written in python, so you will need to use it like so:
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RE: If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
You should maybe check out weasyprint. https://weasyprint.org/
What are some alternatives?
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
ReportLab
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
PyPDF2 - A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
bert - TensorFlow code and pre-trained models for BERT
WKHTMLToPDF - Convert HTML to PDF using Webkit (QtWebKit)
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
QuestPDF - QuestPDF is a modern open-source .NET library for PDF document generation. Offering comprehensive layout engine powered by concise and discoverable C# Fluent API. Easily generate PDF reports, invoices, exports, etc.
polyglot - Multilingual text (NLP) processing toolkit
PDFMiner - Python PDF Parser (Not actively maintained). Check out pdfminer.six.
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
MathJax - Beautiful and accessible math in all browsers