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@tmo1
tmo1 / nextcloud-caddy-docker.md
Last active July 16, 2024 15:53
Nextcloud behind Caddy as a reverse proxy, using Docker

Introduction

This is a guide to deploying Nextcloud behind a Caddy reverse proxy, both running in Docker containers (an official Nextcloud one and a caddy-docker-proxy one), with the goal of implementing as much as possible via docker-compose files. This is much more difficult than it should be, for a variety of reasons:

  • As with Docker versions of software in general, documentation of the software does not always apply to the Docker versions, and the Docker documentation does not always include the Docker equivalent ways of doing things.

  • Docker images do not always expose the desired configuration knobs of the underlying software.

  • Nextcloud requires special configuration to run correctly behind a reverse proxy (and again, some of the instructions for this configuration requires modification for

@Neo23x0
Neo23x0 / log4j_rce_detection.md
Last active June 24, 2024 22:11
Log4j RCE CVE-2021-44228 Exploitation Detection

log4j RCE Exploitation Detection

You can use these commands and rules to search for exploitation attempts against log4j RCE vulnerability CVE-2021-44228

Grep / Zgrep

This command searches for exploitation attempts in uncompressed files in folder /var/log and all sub folders

sudo egrep -I -i -r '\$(\{|%7B)jndi:(ldap[s]?|rmi|dns|nis|iiop|corba|nds|http):/[^\n]+' /var/log
@GiovanniGatti
GiovanniGatti / notebook.ipynb
Last active March 9, 2023 21:03
[RL Novels][Workshop III] Baird's counter example
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"""
Install the dependencies with
pip install matplotlib sklearn mlxtend
"""
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
from mlxtend.plotting import plot_decision_regions
@blackcater
blackcater / diagrams.md
Created July 6, 2018 16:45
Markdown Diagrams

Diagrams

Markdown Preview Enhanced supports rendering flow charts, sequence diagrams, mermaid, PlantUML, WaveDrom, GraphViz, Vega & Vega-lite, Ditaa diagrams. You can also render TikZ, Python Matplotlib, Plotly and all sorts of other graphs and diagrams by using Code Chunk.

Please note that some diagrams don't work well with file exports such as PDF, pandoc, etc.

Flow Charts

This feature is powered by flowchart.js.

@alexcjohnson
alexcjohnson / LICENSE
Last active July 16, 2024 15:13
Working with React and D3 together
The MIT License (MIT)
Copyright (c) Plotly, Inc
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
@hjertnes
hjertnes / doom.txt
Created April 6, 2018 08:28
Doom Emacs Cheatsheet
SPC
SPC: find file
, switch buffer
. browse files
: MX
; EX
< switch buffer
` eval
u universal arg
x pop up scratch
@ForgottenUmbrella
ForgottenUmbrella / publish_python.md
Last active July 17, 2024 21:20
How to publish Python apps for human beings

How to publish Python apps for human beings

So, you've created a Python app (be it a graphical user interface with Qt or the like, or a simple command line interface). Great! But how are others going to use it? Python applications often have dependencies (e.g. from third-party modules), and they also need a Python interpreter to run them. For a developer, installing all the necessary bits and bobs to make things work is okay, but that's unacceptable for a normal user - they just want to download the thing and run it.

Below are simple instructions to publish your app on the three main operating systems: Windows, macOS and Linux.

@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward
# Hello, and welcome to makefile basics.
#
# You will learn why `make` is so great, and why, despite its "weird" syntax,
# it is actually a highly expressive, efficient, and powerful way to build
# programs.
#
# Once you're done here, go to
# http://www.gnu.org/software/make/manual/make.html
# to learn SOOOO much more.