Install packages needed for compiling

sudo apt-get update

sudo apt install autoconf automake bison build-essential curl flex \
  libtool libssl-dev libcurl4-openssl-dev libxml2-dev libreadline7 \
  libreadline-dev libsqlite3-dev libzip-dev libzip4 nginx openssl \
  pkg-config re2c sqlite3 zlib1g-dev
 

sudo apt install zsh-autosuggestions zsh-syntax-highlighting zsh

1. Open the Bookmark Manager and export your bookmarks;
2. Open the exported html file in your favorite editor and look for the bookmarklet you want a favicon applied to;
3. Convert the 16x16 px (or greater) favicon you want to use into the BASE64 format (I used Base64 Image Encoder);
4. Now you can add the favicon via adding the ICON="data:image/insert-your-base64-image-code-here" attribute in the link;
5. Save the file and import it in the bookmark manager.

Done! If the favicon doesn’t show up, try clicking on the bookmarklet. Afterwards the changes should stick and you can delete the imported bookmarks folder. If you have sync activated the favicons on your bookmarklets will also show up on your other PC, Mac, smartphone etc.

使用JAV金鸡儿奖官网附带的工具JAV SQL 查询器，可查询各种类别的JavDB TOP250影片：

• JavDB TOP250
• JavDB 有码 TOP250
• JavDB 无码 TOP250
• JavDB 欧美 TOP250
• JavDB FC2 TOP250

及分年数据（存在部分重复影片，原始数据的问题）：

Simular Guides

• (My) Perfect Gaming VM Setup with GPU Passthrough – Virtualization Server Part 14
• Configuring GPU Passthrough with VFIO on Fedora 30 notes

Usefull Commands

• lspci -nnk list pci devices
• sudo grub2-mkconfig -o /etc/grub2-efi.cfg updates the grub
• sudo call-a-friend @ballas calls the best knowledge base, fuck wiki 🤣

UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli. Please find it here: https://github.com/ericmjl/pyds-cli

Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.

Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.

Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!

This community was a great part of my life for the past two years, so as 2024 comes to a close, I wanted to feed my nostalgia a bit. Let me take you back to the most notable things happened here this year.

This isn't a log of model releases or research, rather things that were discussed and upvoted by the people here. So notable things missing is also an indication of what was going on of sorts. I hope that it'll also show the amount of progress and development that happend in just a single year and make you even more excited for what's to come in 2025.

The year started with the excitement about Phi-2 (443 upvotes, by u/steph_pop). Phi-2 feels like ancient history these days, it's also fascinating that we end the 2024 with the Phi-4. Just one week after, people discovered that apparently it [was trained on the software engineer's diary](https://reddit.com/r/LocalLLaMA/comments/1