html-to-markdown
A modern, fully typed Python library for converting HTML to Markdown. This library is a completely rewritten fork of markdownify with a modernized codebase, strict type safety and support for Python 3.9+.
Features:
βοΈ Full HTML5 Support: Comprehensive support for all modern HTML5 elements including semantic, form, table, ruby, interactive, structural, SVG, and math elements
βοΈ Enhanced Table Support: Advanced handling of merged cells with rowspan/colspan support for better table representation
βοΈ Type Safety: Strict MyPy adherence with comprehensive type hints
Metadata Extraction: Automatic extraction of document metadata (title, meta tags) as comment headers
βοΈ Streaming Support: Memory-efficient processing for large documents with progress callbacks
βοΈ Highlight Support: Multiple styles for highlighted text (<mark> elements)
βοΈ Task List Support: Converts HTML checkboxes to GitHub-compatible task list syntax
nstallation
Optional lxml Parser
For improved performance, you can install with the optional lxml parser:
The lxml parser offers:
π ~30% faster HTML parsing compared to the default html.parser
π Better handling of malformed HTML
π More robust parsing for complex documents
Quick Start
Convert HTML to Markdown with a single function call:
Working with BeautifulSoup:
If you need more control over HTML parsing, you can pass a pre-configured BeautifulSoup instance:
Github: https://github.com/Goldziher/html-to-markdown
https://t.me/DataScienceNβοΈ
A modern, fully typed Python library for converting HTML to Markdown. This library is a completely rewritten fork of markdownify with a modernized codebase, strict type safety and support for Python 3.9+.
Features:
Metadata Extraction: Automatic extraction of document metadata (title, meta tags) as comment headers
nstallation
pip install html-to-markdown
Optional lxml Parser
For improved performance, you can install with the optional lxml parser:
pip install html-to-markdown[lxml]
The lxml parser offers:
Quick Start
Convert HTML to Markdown with a single function call:
from html_to_markdown import convert_to_markdown
html = """
<!DOCTYPE html>
<html>
<head>
<title>Sample Document</title>
<meta name="description" content="A sample HTML document">
</head>
<body>
<article>
<h1>Welcome</h1>
<p>This is a <strong>sample</strong> with a <a href="https://example.com">link</a>.</p>
<p>Here's some <mark>highlighted text</mark> and a task list:</p>
<ul>
<li><input type="checkbox" checked> Completed task</li>
<li><input type="checkbox"> Pending task</li>
</ul>
</article>
</body>
</html>
"""
markdown = convert_to_markdown(html)
print(markdown)
Working with BeautifulSoup:
If you need more control over HTML parsing, you can pass a pre-configured BeautifulSoup instance:
from bs4 import BeautifulSoup
from html_to_markdown import convert_to_markdown
# Configure BeautifulSoup with your preferred parser
soup = BeautifulSoup(html, "lxml") # Note: lxml requires additional installation
markdown = convert_to_markdown(soup)
Github: https://github.com/Goldziher/html-to-markdown
https://t.me/DataScienceN
Please open Telegram to view this post
VIEW IN TELEGRAM
β€4π1
This media is not supported in your browser
VIEW IN TELEGRAM
LangExtract
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
GitHub: https://github.com/google/langextract
https://t.me/DataScience4π
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
GitHub: https://github.com/google/langextract
https://t.me/DataScience4
Please open Telegram to view this post
VIEW IN TELEGRAM
π2β€1
Forwarded from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
2οΈβ£ Machine Learning
3οΈβ£ Data Visualization
4οΈβ£ Artificial Intelligence
5οΈβ£ Data Analysis
6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
β
https://t.me/addlist/8_rRW2scgfRhOTc0
β
https://t.me/Codeprogrammer
Please open Telegram to view this post
VIEW IN TELEGRAM
This media is not supported in your browser
VIEW IN TELEGRAM
β
β
β
https://t.me/DataScienceN
Please open Telegram to view this post
VIEW IN TELEGRAM
β€2
This media is not supported in your browser
VIEW IN TELEGRAM
Researchers trained the model on 70 hours of Minecraft gameplay and achieved impressive results:
GameFactory can create procedural game worlds β from volcanoes to cherry blossom forests, just like in the iconic simulator.
https://t.me/DataScienceN
Please open Telegram to view this post
VIEW IN TELEGRAM
β€3
python-docx: Create and Modify Word Documents #python
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
Example
https://t.me/DataScienceNπ
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
pip install python-docx
Example
from docx import Document
document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")
document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'
https://t.me/DataScienceN
Please open Telegram to view this post
VIEW IN TELEGRAM
β€2π2
This media is not supported in your browser
VIEW IN TELEGRAM
Data scientists, this is for you β I dug up LeetCode for DS
DataLemur β a powerful platform that collects real interview problems from Tesla, Facebook, Twitter, Microsoft, and other top companies
Inside: practical tasks on SQL, statistics, Python, and ML. You can filter by difficulty level and company
Top-notch for those preparing for interviews for Data Scientist / Data Analyst roles. Get it hereπ―
π https://t.me/DataScienceN π
DataLemur β a powerful platform that collects real interview problems from Tesla, Facebook, Twitter, Microsoft, and other top companies
Inside: practical tasks on SQL, statistics, Python, and ML. You can filter by difficulty level and company
Top-notch for those preparing for interviews for Data Scientist / Data Analyst roles. Get it here
Please open Telegram to view this post
VIEW IN TELEGRAM
β€2
π₯ Trending Repository: Deep-Learning-Roadmap
π Description: :satellite: Organized Resources for Deep Learning Researchers and Developers
π Repository URL: https://github.com/astorfi/Deep-Learning-Roadmap
π Website: https://machinelearningmindset.com/deep-learning-resources/
π Readme: https://github.com/astorfi/Deep-Learning-Roadmap#readme
π Statistics:
π Stars: 3.2K stars
π Watchers: 144
π΄ Forks: 314 forks
π» Programming Languages: Python
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: :satellite: Organized Resources for Deep Learning Researchers and Developers
π Repository URL: https://github.com/astorfi/Deep-Learning-Roadmap
π Website: https://machinelearningmindset.com/deep-learning-resources/
π Readme: https://github.com/astorfi/Deep-Learning-Roadmap#readme
π Statistics:
π Stars: 3.2K stars
π Watchers: 144
π΄ Forks: 314 forks
π» Programming Languages: Python
π·οΈ Related Topics:
#reinforcement_learning #deep_learning
==================================
π§ By: https://t.me/DataScienceM
β€1
π₯ Trending Repository: awesome-transformer-nlp
π Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
π Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
π Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 41
π΄ Forks: 131 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
π Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
π Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 41
π΄ Forks: 131 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#nlp #natural_language_processing #awesome #transformer #neural_networks #awesome_list #llama #transfer_learning #language_model #attention_mechanism #bert #gpt_2 #xlnet #pre_trained_language_models #gpt_3 #gpt_4 #chatgpt
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: SemanticSegmentation_DL
π Description: Resources of semantic segmantation based on Deep Learning model
π Repository URL: https://github.com/tangzhenyu/SemanticSegmentation_DL
π Readme: https://github.com/tangzhenyu/SemanticSegmentation_DL#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 77
π΄ Forks: 315 forks
π» Programming Languages: Jupyter Notebook - Python - Shell - sed
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
π Description: Resources of semantic segmantation based on Deep Learning model
π Repository URL: https://github.com/tangzhenyu/SemanticSegmentation_DL
π Readme: https://github.com/tangzhenyu/SemanticSegmentation_DL#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 77
π΄ Forks: 315 forks
π» Programming Languages: Jupyter Notebook - Python - Shell - sed
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceM
π₯ Trending Repository: awesome-jetpack-compose-learning-resources
π Description: π A continuously updated list of learning Jetpack Compose for Android apps.
π Repository URL: https://github.com/androiddevnotes/awesome-jetpack-compose-learning-resources
π Readme: https://github.com/androiddevnotes/awesome-jetpack-compose-learning-resources#readme
π Statistics:
π Stars: 1.4K stars
π Watchers: 41
π΄ Forks: 140 forks
π» Programming Languages: Kotlin
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: π A continuously updated list of learning Jetpack Compose for Android apps.
π Repository URL: https://github.com/androiddevnotes/awesome-jetpack-compose-learning-resources
π Readme: https://github.com/androiddevnotes/awesome-jetpack-compose-learning-resources#readme
π Statistics:
π Stars: 1.4K stars
π Watchers: 41
π΄ Forks: 140 forks
π» Programming Languages: Kotlin
π·οΈ Related Topics:
#android #kotlin #awesome #mvvm #android_architecture #compose #beginner_friendly #android_apps #hacktoberfest #coroutines_android #mvvm_android #android_jetpack #first_issue #jetpack_android #learn_android #jetpack_compose #hacktoberfest2020 #android_compose #awesome_android
==================================
π§ By: https://t.me/DataScienceM
β€1
π₯ Trending Repository: awesome-learning
π Description: A curated list for DevOps learning resources. Join the slack channel to discuss more.
π Repository URL: https://github.com/Lets-DevOps/awesome-learning
π Readme: https://github.com/Lets-DevOps/awesome-learning#readme
π Statistics:
π Stars: 920 stars
π Watchers: 43
π΄ Forks: 310 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceN
π Description: A curated list for DevOps learning resources. Join the slack channel to discuss more.
π Repository URL: https://github.com/Lets-DevOps/awesome-learning
π Readme: https://github.com/Lets-DevOps/awesome-learning#readme
π Statistics:
π Stars: 920 stars
π Watchers: 43
π΄ Forks: 310 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#infrastructure #learning #devops
==================================
π§ By: https://t.me/DataScienceN
π₯ Trending Repository: Machine-Learning-Tutorials
π Description: machine learning and deep learning tutorials, articles and other resources
π Repository URL: https://github.com/ujjwalkarn/Machine-Learning-Tutorials
π Website: http://ujjwalkarn.github.io/Machine-Learning-Tutorials
π Readme: https://github.com/ujjwalkarn/Machine-Learning-Tutorials#readme
π Statistics:
π Stars: 16.6K stars
π Watchers: 797
π΄ Forks: 3.9K forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceN
π Description: machine learning and deep learning tutorials, articles and other resources
π Repository URL: https://github.com/ujjwalkarn/Machine-Learning-Tutorials
π Website: http://ujjwalkarn.github.io/Machine-Learning-Tutorials
π Readme: https://github.com/ujjwalkarn/Machine-Learning-Tutorials#readme
π Statistics:
π Stars: 16.6K stars
π Watchers: 797
π΄ Forks: 3.9K forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#list #machine_learning #awesome #deep_neural_networks #deep_learning #neural_network #neural_networks #awesome_list #machinelearning #deeplearning #deep_learning_tutorial
==================================
π§ By: https://t.me/DataScienceN
β€2
π₯ Trending Repository: awesome-recursion-schemes
π Description: Resources for learning and using recursion schemes.
π Repository URL: https://github.com/passy/awesome-recursion-schemes
π Readme: https://github.com/passy/awesome-recursion-schemes#readme
π Statistics:
π Stars: 1.3K stars
π Watchers: 44
π΄ Forks: 56 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceN
π Description: Resources for learning and using recursion schemes.
π Repository URL: https://github.com/passy/awesome-recursion-schemes
π Readme: https://github.com/passy/awesome-recursion-schemes#readme
π Statistics:
π Stars: 1.3K stars
π Watchers: 44
π΄ Forks: 56 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#awesome #recursion_schemes #catamorphisms
==================================
π§ By: https://t.me/DataScienceN
β€1
π₯ Trending Repository: awesome-deeplearning-resources
π Description: Deep Learning and deep reinforcement learning research papers and some codes
π Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
π Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
π Statistics:
π Stars: 2.9K stars
π Watchers: 221
π΄ Forks: 666 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceN
π Description: Deep Learning and deep reinforcement learning research papers and some codes
π Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
π Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
π Statistics:
π Stars: 2.9K stars
π Watchers: 221
π΄ Forks: 666 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo
==================================
π§ By: https://t.me/DataScienceN
π₯ Trending Repository: Machine_Learning_Resources
π Description: :fish::fish::fish: ζΊε¨ε¦δΉ ι’θ―ε€δΉ θ΅ζΊ
π Repository URL: https://github.com/wangyuGithub01/Machine_Learning_Resources
π Readme: https://github.com/wangyuGithub01/Machine_Learning_Resources#readme
π Statistics:
π Stars: 1.2K stars
π Watchers: 10
π΄ Forks: 179 forks
π» Programming Languages: Not available
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceN
π Description: :fish::fish::fish: ζΊε¨ε¦δΉ ι’θ―ε€δΉ θ΅ζΊ
π Repository URL: https://github.com/wangyuGithub01/Machine_Learning_Resources
π Readme: https://github.com/wangyuGithub01/Machine_Learning_Resources#readme
π Statistics:
π Stars: 1.2K stars
π Watchers: 10
π΄ Forks: 179 forks
π» Programming Languages: Not available
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.me/DataScienceN
π₯ Trending Repository: Awesome-Meta-Learning
π Description: A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
π Repository URL: https://github.com/sudharsan13296/Awesome-Meta-Learning
π Readme: https://github.com/sudharsan13296/Awesome-Meta-Learning#readme
π Statistics:
π Stars: 1.5K stars
π Watchers: 68
π΄ Forks: 298 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceN
π Description: A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
π Repository URL: https://github.com/sudharsan13296/Awesome-Meta-Learning
π Readme: https://github.com/sudharsan13296/Awesome-Meta-Learning#readme
π Statistics:
π Stars: 1.5K stars
π Watchers: 68
π΄ Forks: 298 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#one_shot_learning #zero_shot_learning #metalearning #few_shot_learning #deep_meta_learning #meta_reinforcement
==================================
π§ By: https://t.me/DataScienceN
π₯ Trending Repository: programming-math-science
π Description: This is a list of links to different freely available learning resources about computer programming, math, and science.
π Repository URL: https://github.com/bobeff/programming-math-science
π Readme: https://github.com/bobeff/programming-math-science#readme
π Statistics:
π Stars: 1.8K stars
π Watchers: 26
π΄ Forks: 129 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceN
π Description: This is a list of links to different freely available learning resources about computer programming, math, and science.
π Repository URL: https://github.com/bobeff/programming-math-science
π Readme: https://github.com/bobeff/programming-math-science#readme
π Statistics:
π Stars: 1.8K stars
π Watchers: 26
π΄ Forks: 129 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#science #programming #math #awesome_list
==================================
π§ By: https://t.me/DataScienceN
π₯ Trending Repository: awesome-knowledge-graph
π Description: A curated list of Knowledge Graph related learning materials, databases, tools and other resources
π Repository URL: https://github.com/totogo/awesome-knowledge-graph
π Readme: https://github.com/totogo/awesome-knowledge-graph#readme
π Statistics:
π Stars: 1.7K stars
π Watchers: 41
π΄ Forks: 147 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceN
π Description: A curated list of Knowledge Graph related learning materials, databases, tools and other resources
π Repository URL: https://github.com/totogo/awesome-knowledge-graph
π Readme: https://github.com/totogo/awesome-knowledge-graph#readme
π Statistics:
π Stars: 1.7K stars
π Watchers: 41
π΄ Forks: 147 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#nlp #graph #knowledge_graph #graph_database #awesome_list
==================================
π§ By: https://t.me/DataScienceN
π₯ Trending Repository: mlhub123
π Description: ζΊε¨ε¦δΉ &ζ·±εΊ¦ε¦δΉ η½η«θ΅ζΊζ±ζ»οΌMachine Learning ResourcesοΌ
π Repository URL: https://github.com/howie6879/mlhub123
π Website: https://www.mlhub123.com/
π Readme: https://github.com/howie6879/mlhub123#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 30
π΄ Forks: 238 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceN
π Description: ζΊε¨ε¦δΉ &ζ·±εΊ¦ε¦δΉ η½η«θ΅ζΊζ±ζ»οΌMachine Learning ResourcesοΌ
π Repository URL: https://github.com/howie6879/mlhub123
π Website: https://www.mlhub123.com/
π Readme: https://github.com/howie6879/mlhub123#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 30
π΄ Forks: 238 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#machine_learning #deep_learning
==================================
π§ By: https://t.me/DataScienceN
β€1