Here's a Python tool for accurately extracting text from PDFs and images into Markdown and JSON. ๐โจ
It supports tables, formulas, multiple OCR engines (Marker, Surya-OCR, Tesseract) and has built-in personal data removal. ๐๐ค
https://github.com/CatchTheTornado/pdf-extract-api
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It supports tables, formulas, multiple OCR engines (Marker, Surya-OCR, Tesseract) and has built-in personal data removal. ๐๐ค
https://github.com/CatchTheTornado/pdf-extract-api
#PDF #OCR #Python #Markdown #DataExtraction #TechTools
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Foundations of Applied Mathematics is a free series of four textbooks created for the applied and computational mathematics program at Brigham Young University. ๐
The series includes four volumes:
* Mathematical Analysis
* Algorithms, Approximation, and Optimization
* Uncertainty and Data
* Dynamics and Control
The series is suitable for upper-level undergraduate and introductory graduate students. It also includes Python lab exercises and practical assignments, connecting mathematical theory with numerical computation, algorithms, data analysis, and scientific applications. ๐
I particularly appreciate that these are not just theoretical textbooks. The accompanying Python materials help to illustrate how these concepts are applied to real-world computational problems. ๐ป
https://foundations-of-applied-mathematics.github.io
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The series includes four volumes:
* Mathematical Analysis
* Algorithms, Approximation, and Optimization
* Uncertainty and Data
* Dynamics and Control
The series is suitable for upper-level undergraduate and introductory graduate students. It also includes Python lab exercises and practical assignments, connecting mathematical theory with numerical computation, algorithms, data analysis, and scientific applications. ๐
I particularly appreciate that these are not just theoretical textbooks. The accompanying Python materials help to illustrate how these concepts are applied to real-world computational problems. ๐ป
https://foundations-of-applied-mathematics.github.io
#Mathematics #Python #Education #DataScience #Algorithms #Learning
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A Powerful Alternative to Pandas ๐
This is an optimized replacement for Pandas that can significantly speed up data processing without requiring major changes to your code. โ๏ธ
To get started, simply replace a single import:
Performance Benchmarks demonstrate speed improvements in various use cases. ๐
More: https://colab.research.google.com/drive/1UIokuJ4cytoiVSabRDqcziDXOan8bVua?usp=sharing
#Pandas #Python #DataScience #Performance #Fireducks #BigData
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This is an optimized replacement for Pandas that can significantly speed up data processing without requiring major changes to your code. โ๏ธ
To get started, simply replace a single import:
import fireducks.pandas as pd
Performance Benchmarks demonstrate speed improvements in various use cases. ๐
More: https://colab.research.google.com/drive/1UIokuJ4cytoiVSabRDqcziDXOan8bVua?usp=sharing
#Pandas #Python #DataScience #Performance #Fireducks #BigData
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๐ Learning Data Science through interactive examples
One of the most useful repositories for those who want to better understand machine learning.
It transforms complex concepts into visual experiments: you can study models, change parameters, and immediately see the results.
โ Link to GitHub
https://github.com/GeostatsGuy/DataScienceInteractivePython
#DataScience #MachineLearning #Python #Learning #Tech #GitHub
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One of the most useful repositories for those who want to better understand machine learning.
It transforms complex concepts into visual experiments: you can study models, change parameters, and immediately see the results.
โ Link to GitHub
https://github.com/GeostatsGuy/DataScienceInteractivePython
#DataScience #MachineLearning #Python #Learning #Tech #GitHub
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Forwarded from Udemy Free
Python And Flask Framework Complete Course
Python-Powered Proficiency: Depth Introduction To Python Programming And Python Web Framework Flask.โฆ
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Python-Powered Proficiency: Depth Introduction To Python Programming And Python Web Framework Flask.โฆ
๐ท Category: it-and-software
๐ Language: English (US)
๐ฅ Students: 292,248 students
โญ๏ธ Rating: 4.5/5.0 (2,187 reviews)
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๐Struggling with tough interview questions? Nervous about technical grilling? You're not alone.
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A Collection of Machine Learning Libraries for Python ๐ค
A large repository containing over 900 libraries and frameworks for machine learning. ๐
All projects are sorted by quality and popularity, which helps you quickly find the best tools for working with AI and ML. โ๏ธ
Repo: https://github.com/ml-tooling/best-of-ml-python?tab=readme-ov-file#vector-similarity-search-ann
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A large repository containing over 900 libraries and frameworks for machine learning. ๐
All projects are sorted by quality and popularity, which helps you quickly find the best tools for working with AI and ML. โ๏ธ
Repo: https://github.com/ml-tooling/best-of-ml-python?tab=readme-ov-file#vector-similarity-search-ann
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๐ "Mathematical Methods in Data Science with Python" by Sebastian Roche.
๐ https://mmids-textbook.github.io
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๐ https://mmids-textbook.github.io
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Cheat sheet for Scapy: creating and configuring packets, working with IP addresses, sending and receiving packets, sniffing traffic, fuzzing, and viewing packet structure. ๐ฆ๐
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