🔅 Create an Audiobook in Python

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import PyPDF2
import pyttsx3
# Read the pdf by specifying the path in your computer 
pdfReader = PyPDF2.PdfFileReader(open('clcoding.pdf', 'rb'))
# Get the handle to speaker
speaker = pyttsx3.init()
# split the pages and read one by one
for page_num in range(pdfReader.numPages): 
    text = pdfReader.getPage(page_num).extractText() 
    speaker.say(text)
    speaker.runAndWait()
# stop the speaker after completion 
speaker.stop() 
# save the audiobook at specified path 
engine.save_to_file(text, 'E:\audio.mp3') 
engine.runAndWait()

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Get and download all Udemy courses and other courses for only $10

Create an account on Patreon
patreon.com/DataScienceBooks

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🔥 flowty-realtime-lcm-canvas

A realtime sketch to image demo using LCM and the gradio library.

Source: https://github.com/flowtyone/flowty-realtime-lcm-canvas

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Artificial Intelligence && Deep Learning
Channel for who have a passion for -

* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

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Support Vector Machines in OpenCV

Article: https://machinelearningmastery.com/support-vector-machines-in-opencv/

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🔥 Building and Evaluating Advanced RAG Applications

A new free course from deeplearning.ai on complex RAG (Retrieval Augmented Generation ) techniques has been released.🦾

This course teaches advanced LLM techniques that will help you generate good and relevant answers and...

deeplearning.ai/short-courses/building-evaluating-advanced-rag/

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🎞 Pytube is a lightweight #Python library that enables you to download #YouTube videos and playlists in specific formats and resolutions.

https://github.com/pytube/pytube

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Programmers joked with each other 😂

STOP WORKING – START EARNING🏆

Do you really like your salary? What about the time you spend at work? Is everything fair and square? Do you have a house, car, summer house? Let's be honest…

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🖥 Calculate derivatives in Python

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Please our premium telegram members , boost our channel

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⚡️ 8 free courses to master large language models:

1- LLM University

The course provides an understanding of how LLM work, their practical applications, and guides students in using LLMs to build and deploy applications.
https://docs.cohere.com/docs/llmu

2- hugging face NLP course

This course provides comprehensive knowledge of Hugging Face transformers, datasets, tokenizers, and the Accelerate tool in the field of Natural Language Processing (NLP).
https://huggingface.co/learn/nlp-course/chapter1/1

3- DeepLearningAI

A collection of free courses created in collaboration with many companies such as LangChain, OpenAI, Google, Weights & Biases, Microsoft and others.
https://www.deeplearning.ai/short-courses/

4- Weights_biases course

This course shows how to create LLM-based applications using API, Langchain и W&B Prompts . He talks about developing, experimenting, and evaluating LLM-oriented applications.
https://www.wandb.courses/courses/building-llm-powered-apps

5- Introduction to LLMs course by google cloud

An introductory level course covering what LLMs are, their use cases, and how to improve LLM performance using prompt tuning
https://www.cloudskillsboost.google/course_templates/539

6- Databricks courses

The program includes two courses: " LLMs: Application through Production " and " LLMs: Foundation Models from the Ground Up "
https://www.databricks.com/blog/enroll-our-new-expert-led-large-language-models-llms-courses-edx

7- Course "LangChain & Vector Databases in Production" from activeloopai, towards_AI and Intel

The three-course series will provide students with the knowledge and skills to learn, fine-tune, and integrate LLM into production.
https://learn.activeloop.ai/courses/langchain

8- LLM Bootcamp

Covers topics such as Prompt Engineering, LLMOps, UX for language user interfaces, augmented language models, rapid LLM application development, future trends in LLM, fundamental concepts and walkthrough of askFSDL.
https://fullstackdeeplearning.com/llm-bootcamp/

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🖥 Hitchhiker's Guide to Python

Python Best Practices Guidebook

A guide to best practices for installing, configuring and using Python on a daily basis, including pip, numpy, virtualenv and more.

Resources: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A/110

🖥 Turn (almost) any Python command line program into a full GUI application with one line.

🔗 GitHub: https://github.com/chriskiehl/Gooey

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🔐 Lock Your Photos using Python

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⭕️ Data science learning roadmap in 2024
📂 with all videos, projects, books and pamphlets

👨🏻‍💻 Krish Naik, one of the famous Indian data scientists, with more than 845 thousand users on his YouTube channel , has published a comprehensive roadmap for learning data science in the new year.

🔷 This roadmap is excellent for all those who are planning to start learning data science or are experienced in this field and want to get acquainted with the latest training in this field.👌🏼

✅ This comprehensive roadmap includes learning from scratch Python, machine learning, deep learning, MLOPS, LLM, Generative AI and many other things.


┌ 🏷 Data Science Perfect Roadmap
└ 📝 Roadmap To Learn Data Science 2024

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🖥 DataQA extractor

App to extract structured fields into a spreadsheet from unstructured text.

DataQA extractor is a Python application for extracting structured fields from unstructured text and adding them to a spreadsheet.

GitHub: https://github.com/dataqa/extractor

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