Layman's Guide to Python Built-in Functions
This is a plain language guide to every built-in function in Python, paired with a simple example that shows each function in action.
https://www.mattlayman.com/blog/2024/layman-guide-python-built-in-functions/
This is a plain language guide to every built-in function in Python, paired with a simple example that shows each function in action.
https://www.mattlayman.com/blog/2024/layman-guide-python-built-in-functions/
Matt Layman
Layman's Guide to Python Built-in Functions
This is a plain language guide to every built-in function in Python, paired with a simple example that shows each function in action.
JPMorgan's Python training for business analysts and traders
https://github.com/jpmorganchase/python-training
https://github.com/jpmorganchase/python-training
GitHub
GitHub - jpmorganchase/python-training: Python training for business analysts and traders
Python training for business analysts and traders. Contribute to jpmorganchase/python-training development by creating an account on GitHub.
Solving the labyrinth puzzle from the university quest using Python
https://wondrousnet.blogspot.com/2024/03/solution-to-puzzle-cat-walk.html
https://wondrousnet.blogspot.com/2024/03/solution-to-puzzle-cat-walk.html
Blogspot
Solution to the puzzle Cat Walk.
Cat Walk is one of the interesting puzzles of the Melbourne University Puzzle Hunt 2012 competition. This task was part of the second act ...
How Pytorch Powers Training Inference
Learn about new PyTorch advancements for LLMs and how PyTorch is enhancing every aspect of the LLM lifecycle.
https://www.youtube.com/watch?v=96VIEJfhUBg
Learn about new PyTorch advancements for LLMs and how PyTorch is enhancing every aspect of the LLM lifecycle.
https://www.youtube.com/watch?v=96VIEJfhUBg
YouTube
How Pytorch Powers Training Inference | Wanchao Liang, Kimish Patel, and Evan Smothers
How Pytorch Powers Training Inference | Wanchao Liang, Kimish Patel, and Evan Smothers
Speakers will discuss the importance of memory-efficient fine-tuning and a few common architectural and algorithmic techniques to enable fine-tuning on consumer-grade…
Speakers will discuss the importance of memory-efficient fine-tuning and a few common architectural and algorithmic techniques to enable fine-tuning on consumer-grade…
csv_trimming
Python package to remove common ugliness from a csv-like file
https://github.com/LucaCappelletti94/csv_trimming
Python package to remove common ugliness from a csv-like file
https://github.com/LucaCappelletti94/csv_trimming
GitHub
GitHub - LucaCappelletti94/csv_trimming: Package python to remove common ugliness from a csv-like file
Package python to remove common ugliness from a csv-like file - LucaCappelletti94/csv_trimming
The Design and Implementation of the CPython Virtual Machine
https://blog.codingconfessions.com/p/cpython-vm-internals
https://blog.codingconfessions.com/p/cpython-vm-internals
Codingconfessions
The Design & Implementation of the CPython Virtual Machine
A deep dive into CPython's bytecode instruction format and execution engine internals
LitServe
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
https://github.com/Lightning-AI/LitServe
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
https://github.com/Lightning-AI/LitServe
GitHub
GitHub - Lightning-AI/LitServe: The easiest way to deploy agents, MCP servers, models, RAG, pipelines and more. No MLOps. No YAML.
The easiest way to deploy agents, MCP servers, models, RAG, pipelines and more. No MLOps. No YAML. - Lightning-AI/LitServe
PyRoboCOP: Python-Based Robotic Control and Optimization Package
https://ieeexplore.ieee.org/abstract/document/10440590
https://ieeexplore.ieee.org/abstract/document/10440590
django-cotton
Bringing component based design to Django templates.
https://github.com/wrabit/django-cotton
Bringing component based design to Django templates.
https://github.com/wrabit/django-cotton
GitHub
GitHub - wrabit/django-cotton: Enabling Modern UI Composition in Django
Enabling Modern UI Composition in Django. Contribute to wrabit/django-cotton development by creating an account on GitHub.
🔥2
Why I Still Use Python Virtual Environments in Docker
The article argues for using Python virtual environments in Docker containers, citing benefits like predictability, standardization, and easier debugging. The author contends that virtual environments provide a consistent, well-understood structure for Python applications, making communication and deployment across teams more straightforward, while also simplifying Python's import behavior.
https://hynek.me/articles/docker-virtualenv/
The article argues for using Python virtual environments in Docker containers, citing benefits like predictability, standardization, and easier debugging. The author contends that virtual environments provide a consistent, well-understood structure for Python applications, making communication and deployment across teams more straightforward, while also simplifying Python's import behavior.
https://hynek.me/articles/docker-virtualenv/
Hynek Schlawack
Why I Still Use Python Virtual Environments in Docker
Whenever I publish something about my Python Docker workflows, I invariably get challenged about whether it makes sense to use virtual environments in Docker containers. As always, it’s a trade-off, and I err on the side of standards and predictability.
Maximizing Python Code Efficiency: Strategies to Overcome Common Performance Hurdles
This article talks about performance issues caused by nested loops and memory allocation issues. It provides strategies to overcome these issues while improving efficiency.
https://towardsdatascience.com/maximizing-python-code-efficiency-strategies-to-overcome-common-performance-hurdles-c6292610d785
This article talks about performance issues caused by nested loops and memory allocation issues. It provides strategies to overcome these issues while improving efficiency.
https://towardsdatascience.com/maximizing-python-code-efficiency-strategies-to-overcome-common-performance-hurdles-c6292610d785
Towards Data Science
Maximizing Python Code Efficiency: Strategies to Overcome Common Performance Hurdles | Towards Data Science
Navigating Nested Loops and Memory Challenges for Seamless Performance using Python
kotaemon
An open-source RAG-based tool for chatting with your documents.
https://github.com/Cinnamon/kotaemon
An open-source RAG-based tool for chatting with your documents.
https://github.com/Cinnamon/kotaemon
GitHub
GitHub - Cinnamon/kotaemon: An open-source RAG-based tool for chatting with your documents.
An open-source RAG-based tool for chatting with your documents. - Cinnamon/kotaemon
Taming the beast that is the Django ORM - An introduction
The Django ORM, how it compares to raw SQL and gotchas that you should be aware of when using it
https://www.davidhang.com/blog/2024-09-01-taming-the-django-orm/
The Django ORM, how it compares to raw SQL and gotchas that you should be aware of when using it
https://www.davidhang.com/blog/2024-09-01-taming-the-django-orm/
Davidhang
Taming the beast that is the Django ORM - An introduction
The Django ORM, how it compares to raw SQL and gotchas that you should be aware of when using it
👌2
Building LLMs from the Ground Up
This tutorial guides coders through the fundamentals of large language models (LLMs), explaining how they work and how to build them from scratch in PyTorch. It covers coding a small GPT-like model, its data pipeline, architecture, pretraining, and fine-tuning using open-source libraries.
https://www.youtube.com/watch?v=quh7z1q7-uc
This tutorial guides coders through the fundamentals of large language models (LLMs), explaining how they work and how to build them from scratch in PyTorch. It covers coding a small GPT-like model, its data pipeline, architecture, pretraining, and fine-tuning using open-source libraries.
https://www.youtube.com/watch?v=quh7z1q7-uc
YouTube
Building LLMs from the Ground Up: A 3-hour Coding Workshop
REFERENCES:
1. Build an LLM from Scratch book: https://amzn.to/4fqvn0D
2. Build an LLM from Scratch repo: https://github.com/rasbt/LLMs-from-scratch
3. GitHub repository with workshop code: https://github.com/rasbt/LLM-workshop-2024
4. Lightning Studio for…
1. Build an LLM from Scratch book: https://amzn.to/4fqvn0D
2. Build an LLM from Scratch repo: https://github.com/rasbt/LLMs-from-scratch
3. GitHub repository with workshop code: https://github.com/rasbt/LLM-workshop-2024
4. Lightning Studio for…
supertree
supertree is a Python package designed to visualize decision trees in an interactive and user-friendly way within Jupyter Notebooks, Jupyter Lab, Google Colab, and any other notebooks that support HTML rendering.
https://github.com/mljar/supertree
supertree is a Python package designed to visualize decision trees in an interactive and user-friendly way within Jupyter Notebooks, Jupyter Lab, Google Colab, and any other notebooks that support HTML rendering.
https://github.com/mljar/supertree
GitHub
GitHub - mljar/supertree: Visualize decision trees in Python
Visualize decision trees in Python. Contribute to mljar/supertree development by creating an account on GitHub.
Used Python to create public-domain US maps that can serve as desktop backgrounds
https://www.reddit.com/r/Python/comments/1f29mo0/used_python_to_create_publicdomain_us_maps_that/
https://www.reddit.com/r/Python/comments/1f29mo0/used_python_to_create_publicdomain_us_maps_that/
Reddit
From the Python community on Reddit: Used Python to create public-domain US maps that can serve as desktop backgrounds
Explore this post and more from the Python community
uvtrick
A fun party trick to run Python code from another venv into this one.
https://github.com/koaning/uvtrick
A fun party trick to run Python code from another venv into this one.
https://github.com/koaning/uvtrick
GitHub
GitHub - koaning/uvtrick: A fun party trick to run Python code from another venv into this one.
A fun party trick to run Python code from another venv into this one. - GitHub - koaning/uvtrick: A fun party trick to run Python code from another venv into this one.
Multimodal Data Analysis with LLMs and Python – Tutorial
The tutorial teaches how to analyze multimodal data using Large Language Models (LLMs) and Python, covering text classification, image-based question answering, audio transcription, and creating a natural language query interface for SQL databases.
https://www.youtube.com/watch?v=3-4qAkFRpAk
The tutorial teaches how to analyze multimodal data using Large Language Models (LLMs) and Python, covering text classification, image-based question answering, audio transcription, and creating a natural language query interface for SQL databases.
https://www.youtube.com/watch?v=3-4qAkFRpAk
YouTube
Multimodal Data Analysis with LLMs and Python – Tutorial
Learn how to analyze multimodal data with LLMs and Python. This tutorial covers:
- Classifying text with LLMs
- Answering questions about images
- Transcribing audio data (speech) to text
- Building a natural language query interface over an SQL database…
- Classifying text with LLMs
- Answering questions about images
- Transcribing audio data (speech) to text
- Building a natural language query interface over an SQL database…