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Discover powerful insights with Python, Machine Learning, Coding, and R—your essential toolkit for data-driven solutions, smart alg

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@codeprogrammer Scientific Python Lectures.pdf
18.7 MB
🖥 Scientific Python Lectures (2024)

Scientific Python Lectures
Gaël Varoquaux, Emmanuelle Gouillart, Olav Vahtras Pierre de Buyl, and many others.

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🖥 Downloading a YouTube Playlist using Python

Loading YouTube playlist using Python.

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🔺 10 free MIT data science courses

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Computational thinking and data science introductory course
machine learning course with Python
Computer science and programming course with Python
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Understanding the world through data course
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Principles and basics of statistics and probability course
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WebScraping with Gen AI

During this session, we'll explore the following topics:

1️⃣ Basics of Web Scraping:
Understand the fundamental concepts and techniques of web scraping and its legal and ethical considerations.

2️⃣ Scraping with Gen AI:
Discover how Gen AI revolutionizes the web scraping landscape with real-world examples.

3️⃣ Jina Reader API:
Get acquainted with the Jina Reader API, a powerful tool for obtaining LLM-friendly input from URLs or web searches.

4️⃣ ScrapeGraphAI:
Dive into ScrapeGraphAI, a groundbreaking Python library that combines LLMs and direct graph logic for creating robust scraping pipelines.

Event Details:
🗓 Date: 22 June, Saturday
Time: 11:00 AM IST
🔗 Register now: https://www.buildfastwithai.com/events/web-scraping-with-gen-ai

Connect with Founder from IIT Delhi;
https://www.linkedin.com/in/satvik-paramkusham/
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🔺 Data science learning roadmap in 2024

👨🏻‍💻 If you want to start learning data science from scratch in 2024, this roadmap can be a great starting point for you.👌🏼


1️⃣ Basics of data science

🏷 Statistics and probability
┘️
link: Statistics & Probability

🏷 Linear Algebra
◽️ link: Essence of Linear Algebra


2️⃣ Programming language

🏷 Python
┘️
link: Learn Python 3


3️⃣ Data analysis and manipulation

🏷 Pandas library
┘️
link: pandas documentation

🏷 Data preparation with Pandas
Link
: Data Wrangling with Pandas

🏷 NumPy library
┘️
link: NumPy documentation


4️⃣ Data visualization

🏷 Matplotlib and Seaborn library
┘️
Link: Matplotlib / seaborn

🏷 Tableau Public platform
Link
: Tableau Public


5️⃣ Principles of machine learning

🏷 scikit-learn library
┘️
link: scikit-learn


6️⃣ Learning algorithms

🏷 Hands-On Machine Learning book
┘️
link: Hands-On ML


7️⃣ Deep learning

🏷 TensorFlow library
┘️
link: TensorFlow Tutorial

🏷 PyTorch library
┘️
Link: PyTorch Documentation


8️⃣ Big data technologies

🏷 Spark framework course
┘️
Link: Spark Course


9️⃣ Advanced topics

🏷 Natural language processing course in Python
┘️
link: NLP in Python


1️⃣ Share your projects on Kaggle and GitHub

🏷 Kaggle platform
┘️
link: Kaggle

🏷 GitHub platform
┘️
Link: GitHub

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📱 Gemini with 3.25 billion parameters can be run locally on your computer directly in a Chrome tab,

This version runs without internet, is completely free, private and uses less than 2 GB of RAM. It only takes two lines of code to run Gemini, as shown in the third video.

What's the secret? Google has already built Gemini into the developer version of Chrome, and a resourceful Twitter user found how to activate it.

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🖥 Aurora is a static site generator implemented in Python

Aurora is a static site generator implemented in Python.

Aurora supports:

- Create content and pages using markdown, jinja2 and HTML
- Various types of assembly
- Interactive build with fast reload capability for development (reload time up to < 300ms)
- Built-in support for creating site pages

pip3 install aurora-ssg

Github

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🖥 Unstructured - Python library for raw data preprocessing

- pip install "unstructured[all-docs]"

Unstructured provides components for preprocessing images and text documents; supports many formats: PDF, HTML, Word docs, etc.

Run the library in a container:
docker run -dt --name unstructured downloads.unstructured.io/unstructured-io/unstructured:latest
docker exec -it unstructured bash


🖥 GitHub
🟡 Docks

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At the end of the month we will present a precious prize for the first three winning positions in this competition

The prize includes courses, scholarships, educational and books worth more than 20 thousand dollars, we will insure them for free for the first 3 people

We see your progress: subscribe here
🆕 Microsoft has quietly updated the Phi-3 Mini

- significantly improved code understanding in Python, C++, Rust and Typescript
- Improved output, now it is more structured
- improved understanding of complex sentences
- added support for the <|system|> tag.
- Improved reasoning ability and understanding of long contexts

4K and 128K benchmarks are affected by this update

🤗 Hugging Face

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