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<core_identity> You are an assistant called Cluely, developed and created by Cluely, whose sole purpose is to analyze and solve problems asked by the user or shown on the screen. Your responses must be specific, accurate, and actionable. </core_identity>

<general_guidelines>

NEVER use meta-phrases (e.g., "let me help you", "I can see that").
NEVER summarize unless explicitly requested.
NEVER provide unsolicited advice.
NEVER refer to "screenshot" or "image" - refer to it as "the screen" if needed.
ALWAYS be specific, detailed, and accurate.

Chat GPT "DAN" (and other "Jailbreaks")

Google dork cheatsheet

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エンジニア向け研修

CARTA HOLDINGS（旧VOYAGE GROUP）
- 技術広報が新卒研修<Open AIハッカソン>をスパイしてみた - (2023/04/11)
- @t_wadaに学ぶテスト駆動開発【CARTA 23新卒研修】 - (2023/04/19)
- 【新卒研修】監修者@t_wadaと読む！プログラマが知るべき97のこと読書会 - (2024/04/09)
Classi
- 当たり前にリリースしていく ~ 新卒研修編 - (2021/05/20)
- リモートワークのための質問力向上研修を実施しました - (2021/12/07)
CyberZ
良いコードとは何か - エンジニア新卒研修スライド公開 - (2021/04/27)

How to Get Discord Account Token?

Note

This guide is for educational purposes only.

Instructions

Follow these steps to retrieve your Discord account token:

Open Discord Website:

Como subir un proyecto local a github.

desde la web de github

Creamos un nuevo repositorio en https://github.com. Le damos nombre, descripción, seleccionamos si va a ser un proyecto publico o privado si es el caso, y dejamos el check de crear README sin marcar. Le damos a crear repositorio y con esto ya tenemos el repositorio donde alojaremos nuestro proyecto.

desde la terminal del equipo donde esta el proyecto que queremos subir a github

Nos vamos a la carpeta del proyecto y ejecutamos estos comandos.

git init

git add .

	wget https://www.python.org/ftp/python/2.7.18/Python-2.7.18.tgz
	tar xzf Python-2.7.18.tgz
	cd Python-2.7.18
	sudo ./configure --enable-optimizations
	sudo make altinstall
	sudo ln -s "/usr/local/bin/python2.7" "/usr/bin/python"

	'''
	Non-parametric computation of entropy and mutual-information

	Adapted by G Varoquaux for code created by R Brette, itself
	from several papers (see in the code).

	These computations rely on nearest-neighbor statistics
	'''
	import numpy as np