Lazy Predict Library in Python for Machine Learning

Lazy Predict is a Python library designed to simplify and accelerate predictive modeling projects. It offers a user-friendly, efficient approach to making predictions, requiring minimal effort to install and use. This open-source tool, released under the MIT license, is ideal for data science and machine learning tasks.

Key benefits of Lazy Predict include its ability to streamline data pre-processing, model tuning, and result evaluation. It also provides features for model selection and hyperparameter optimization, helping users achieve better outcomes with their machine learning models. By leveraging Lazy Predict, you can enhance your predictive modeling process and achieve more accurate results efficiently.

GeeksforGeeks
GitHub

Perplexity has added a nice feature of attaching PDF and ask from it. Just upload your pdf through (+) and ask question.

If you need more complete option, there is also this repository to make a chatbot using LangChain (haven't tried that personally) and train using multiple pdf/books.

GitHub

How to download part of a GitHub repository? for example one folder.

Sometimes a Repository could be very large and you only need part of it.

1. Go to https://download-directory.github.io/
2. Enter the URL of the GitHub repository folder you want to download in the input field.
3. Press Enter, and the folder will be downloaded as a ZIP file.

There are also other methods using git command or GitHub Desktop, but this one seems easier.

Here are the Colored images:
https://t.iss.one/QajarC

High-Performance Computing with Python @ JSC

The following topics will be covered:

Short review of vectorized programming with NumPy
Interactive parallel programming with IPython
Profiling and optimization
High-performance NumPy
Just-in-time compilation with numba
Distributed-memory parallel programming with Python and MPI
Bindings to other programming languages and HPC libraries
Interfaces to GPUs

https://gitlab.jsc.fz-juelich.de/sdlbio-courses/hpc-python-2024

installing torch with cuda support is sometimes challenging, this probably helps.
YouTube

AI powered jupyter notebook.
Github

Rye: a Hassle-Free Python Experience

Rye is a comprehensive project and package management solution for Python. Born from its creator's desire to establish a one-stop-shop for all Python users, Rye provides a unified experience to install and manages Python installations, pyproject.toml based projects, dependencies and virtualenvs seamlessly. It's designed to accommodate complex projects, monorepos and to facilitate global tool installations.

Introduction video

This one looks good for a weekend