Ryan Reece rreece

tmux Cheat Sheet

Table of Contents

General Usage
Shortcuts
Commands
Scripting tmux
Configuring tmux

People

`:bowtie:`	😄 `:smile:`	😆 `:laughing:`
😊 `:blush:`	😃 `:smiley:`	☺️ `:relaxed:`
😏 `:smirk:`	😍 `:heart_eyes:`	😘 `:kissing_heart:`
😚 `:kissing_closed_eyes:`	😳 `:flushed:`	😌 `:relieved:`
😆 `:satisfied:`	😁 `:grin:`	😉 `:wink:`
😜 `:stuck_out_tongue_winking_eye:`	😝 `:stuck_out_tongue_closed_eyes:`	😀 `:grinning:`
😗 `:kissing:`	😙 `:kissing_smiling_eyes:`	😛 `:stuck_out_tongue:`

MacOs quick setup 🚀

Getting everything ready

1 - Xcode/Ruby/Command line tools

You need to have Xcode installed to proceed.

xcode-select --install
sudo xcodebuild -license accept

2 - Brew

Lifetime of python supported versions

Scientific Python: SPEC 0
Numpy: NEP 29

COO 2017 dataset

Ryan downloaded the COCO data from here: https://cocodataset.org/#download

wget http://images.cocodataset.org/zips/val2017.zip
wget http://images.cocodataset.org/zips/test2017.zip
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip

ImageNet-1k dataset

Download instructions: https://towardsdatascience.com/downloading-and-using-the-imagenet-dataset-with-pytorch-f0908437c4be

Create a kaggle account
Login and create an authentication token
Add the token to a file: ~/.kaggle/kaggle.json

The file has one line like this:

	"""
	Script for saving a HuggingFace text dataset to csv.

	See also:
	https://datascience.stackexchange.com/questions/35868/how-to-store-strings-in-csv-with-new-line-characters
	"""

	import argparse
	import os

	"""
	The most atomic way to train and inference a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp

	"""
	openai-chat-client.py

	OpenAI compatible chat client in the terminal

	See:
	https://github.com/openai/openai-python
	https://github.com/vllm-project/vllm/blob/main/examples/openai_chat_completion_client.py
	"""

	import yaml

	def read_yaml(path):
	with open(path, 'r') as f:
	config = yaml.safe_load(f)
	return config