What a Year...

• https://blog.cavelab.dev/2021/11/wifi-relays-for-ventilation/

• Python has surpassed JavaScript as the most-used language on GitHub, largely due to the growing focus on data science and machine learning.
• There has been a 59% increase in contributions to generative AI projects, showing the rise of AI-related work on the platform.
• 1.4 million new developers joined open source globally, with most contributing to AI and commercially backed projects.
• Python’s simple syntax and strong capabilities in data handling have made it especially popular with newcomers, particularly those entering the AI field.
• As a feature of Linux distributions, Python is easy to access and commonly used to create desktop applications with frameworks like Qt and GTK.
• Jupyter Notebooks experienced a significant surge in usage, thanks to its adoption for AI/ML tasks.
• Despite the hype around Rust, its usage still lags behind Python, JavaScript, TypeScript, and Java.
• The rise in Python projects may also be fueled by GitHub Copilot, which aids developers working on AI/LLM projects.
• India is expected to surpass the USA in the number of developers on GitHub sooner than anticipated.

• Get an OS for the RPi with RPi-Imager
  • I suggest BullsEye/Debian11
  • I got some docker image issue with some IoT Project
    • Was unable to install the Python sensor dependencies with Bookworm (strange, I know)

lsfblk -f #check whats the SD Card to install the OS
sudo umount /dev/sda1
#sudo lsof +f -- /dev/sda1 #whats using the partition?

• Use the SelfHosting Script - https://jalcocert.github.io/Linux/docs/linux__cloud/selfhosting/

#ssh jalcocert@192.168.0.155 #SSH has to be enabled with CLI or during OS Installation with RPi-Imager
curl -O https://raw.githubusercontent.com/JAlcocerT/Linux/main/Z_Linux_Installations_101/Selfhosting_101.sh
#nano Selfhosting_101.sh #MAKE SURE YOU UNDERSTAND WHAT YOU WILL BE RUNNING

chmod +x Selfhosting_101.sh
sudo ./Selfhosting_101.sh

• Get to know the relevant private IPs of your Pi with:

ifconfig #I can see that my Pi is 192.168.0.155 when connected via ETH and that the mac starts with D8:3A:...
ifconfig eth0 | grep -A 10 "<global>" #check mac, and transfered packages
#ifconfig eth0 | grep "inet " | awk '{ print $2 }' #if ETH Connected
#ifconfig tailscale0 | grep "inet " | awk '{ print $2 }' #for Tailscale

Optional - Save the OS image and share it with the torrent for others.

Normally the RPi team keeps them here, with links pointing to this repo, but just in case!

wget https://downloads.raspberrypi.com/raspios_oldstable_lite_arm64/images/raspios_oldstable_lite_arm64-2024-10-28/2024-10-22-raspios-bullseye-arm64-lite.img.xz.torrent

This year I changed my router! Went from a Compal MV1 to a NE6037 (still COAX, I know!)

• I got one of these portable 4g usb routers with sim - OLAX-U90
  • Once plugged in, you get a wifi SSID to connect to and manage the router: 192.168.0.1
    • Credentials are written on the device & it will ask you about SIM pin
  • If a valid sim is plugged, you can see the SMS and also make it provide internet connectivity

• Networking with the Pi was improved
  • Wifi2Ethernet bridge with Wireguard

• https://Selfhosted.show
• https://selfh.st/
• This post

• https://github.com/johannesjo/super-productivity

Super Productivity is a comprehensive to-do list app designed to enhance productivity through time management and tracking features.

• It integrates with platforms like Jira, GitHub, and GitLab to import tasks directly.

• The app allows users to organize tasks with sub-tasks, projects, and tags, promoting effective time management.

• Timeboxing and tracking features enable users to create detailed reports for time sheets.

• Built-in tools include:

  • Break reminders to promote healthy work habits.
  • An anti-procrastination feature to help users stay focused.
  • A Pomodoro timer for structured work sessions.

• The app emphasizes privacy by not collecting user data or requiring accounts.

• It’s free and open-source, ensuring accessibility to all.

Conclusions: Super Productivity merges task management with time tracking, enhancing productivity without compromising privacy.

Similar projects include Todoist and Trello, which also focus on task management but may require user accounts and collect data.

• https://github.com/JAlcocerT/YT-Video-Edition

And to be investigated…

• https://github.com/k4yt3x/video2x
• You could also do it by applying UpScayl to each photogram of a video…

Go

Go has become a popular language due to several key strengths that align with the needs of modern software development. Here’s why:

• Performance: As a compiled language, Go provides high execution speed, making it ideal for performance-critical applications.
• Concurrency: With built-in support for concurrency through goroutines and channels, Go excels in managing multiple tasks simultaneously, which is essential for scalable systems.
• Simplicity: Go’s minimal and clean syntax reduces complexity, making it easy to write and maintain code.
• Type Safety: Static typing in Go catches errors during compilation, reducing the chance of runtime issues and ensuring more reliable code.
• Tooling: Go has a powerful standard library and extensive third-party tools that help developers build efficient and maintainable applications.

The popularity of Go has been further driven by the rise of Kubernetes, which is written in Go and has become a core part of cloud-native environments.

Summary of Transitioning to Go for Node.js Developers:

• Go’s Performance: As a compiled language, it offers faster execution compared to interpreted languages like JavaScript.
• Concurrency in Go: Goroutines and channels allow for easy management of concurrent tasks, making Go ideal for scalable applications.
• Simplicity: Go’s clean, minimal syntax makes it easier to learn and reduces cognitive load.
• Type Safety: Static typing ensures fewer runtime errors, making Go more reliable.
• Tooling: Go provides an excellent set of libraries and tools that help streamline the development process.

For Node.js developers, learning Go can open doors to better performance and scalability, especially when working with cloud-native technologies like Kubernetes.

Personal Takeaways for Node.js Developers:

• Embrace Go’s strict type system and error handling methods to write robust code.
• Take time to understand Go’s concurrency model to fully utilize its potential.
• Leverage tutorials and community resources to ease the learning curve.

In conclusion, Go is a great language for developers aiming to build high-performance, scalable applications, and it serves as a valuable addition to a developer’s toolkit. Similar languages, like Rust and Deno, also focus on performance and safety, making them worth exploring.

SysLinuxOS is a specialized Debian-based Linux distribution tailored for system administrators.

It addresses the need for a robust operating system equipped with tools for networking and system management.

Key Features:

1. Debian-based with extensive networking and systems tools pre-installed.
2. Supports multiple languages; offers GNOME and MATE desktop environments.
3. Includes a variety of security and monitoring tools for enhanced system management.

Pros:

• Comprehensive selection of pre-installed tools for system administration.
• User-friendly with improved hardware support and customization options.
• Regular updates aligned with Debian releases.

Cons:

• Desktop may appear cluttered due to numerous monitoring displays.
• May require additional configuration for specific user needs.

Alternatives:

• Ubuntu Server
• CentOS
• Fedora Server

SysLinuxOS provides a solid foundation for system administrators, but users should be aware of its potential clutter.

• ClaudeDev / Cline - https://www.youtube.com/watch?v=vU0LY8-P52A
• ContnueDev - https://www.youtube.com/watch?v=qXNecVIxRi0&t=13s

Perplexity? Or Perplexica?

• https://github.com/rashadphz/farfalle - 🔍 AI search engine - self-host with local or cloud LLMs
• https://github.com/InternLM/MindSearch - 🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
• Tavily
• https://github.com/developersdigest/llm-answer-engine - Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Llama-3, Langchain, OpenAI, Upstash, Brave & Serper

CrewAI + Groq Tutorial: Crash Course for Beginners

• https://github.com/ag2ai/ag2 - AG2 (formerly AutoGen) is a programming framework for agentic AI. Join the community at:

• CrewAI Agent Orchestration - https://www.youtube.com/watch?v=3Uxdggt88pY

• GPTQ quantization, a state-of-the-art method featured in research papers, offers minimal performance loss compared to previous techniques. It’s most efficient on NVIDIA GPUs when the model fits entirely in VRAM.
• GGML, a machine learning library by Georgi Gerganov (who also developed llama.cpp for running local LLMs on Mac), performs best on Apple or Intel hardware.

Thanks: https://aituts.com/local-llms/#Which_Quantization

• https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard

• With ELO Rating: https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard

  • https://chat.lmsys.org/?arena

• Examples: use them also with GPT4All or TextGenWebUI

  • https://huggingface.co/TheBloke/Llama-2-13B-Chat-fp16/tree/main
  • https://huggingface.co/docs/transformers/main/model_doc/mpt
    • And this one you can train it and use commercially: https://www.mosaicml.com/training

You can also check this repository: https://github.com/sindresorhus/awesome-chatgpt and https://github.com/f/awesome-chatgpt-prompts