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#!/bin/bash | |
# reset jetbrains ide evals v1.0.4 | |
OS_NAME=$(uname -s) | |
JB_PRODUCTS="IntelliJIdea CLion PhpStorm GoLand PyCharm WebStorm Rider DataGrip RubyMine AppCode" | |
if [ "$OS_NAME" == "Darwin" ]; then | |
echo 'macOS:' | |
for PRD in $JB_PRODUCTS; do |
En la definición del método, se puede marcar como obsoleto (deprecated) con la justificación. Esto ayudará a que otros developers sepán que deben de utilizar ya la alternativa.
@Deprecated('Most use speak2 method instead')
speak() {
console.log(`${ this.name }, ${ this.name }!`)
}
Netcat is like a swiss army knife for geeks. It can be used for just about anything involving TCP or UDP. One of its most practical uses is to transfer files. Non *nix people usually don't have SSH setup, and it is much faster to transfer stuff with netcat then setup SSH. netcat is just a single executable, and works across all platforms (Windows,Mac OS X, Linux).
On the receiving (destination) terminal, run:
nc -l -p 1234 > out.file
#!/usr/bin/python3 | |
# Required parameters: | |
# @raycast.schemaVersion 1 | |
# @raycast.title Parse and Open | |
# @raycast.mode silent | |
# Optional parameters: | |
# @raycast.icon 🔍 | |
# @raycast.packageName Developer Util |
UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker
now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.
Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/
sudo amazon-linux-extras install docker
sudo service docker start
Nuclei Templates
Filter | Description | Example |
---|---|---|
allintext | Searches for occurrences of all the keywords given. | allintext:"keyword" |
intext | Searches for the occurrences of keywords all at once or one at a time. | intext:"keyword" |
inurl | Searches for a URL matching one of the keywords. | inurl:"keyword" |
allinurl | Searches for a URL matching all the keywords in the query. | allinurl:"keyword" |
intitle | Searches for occurrences of keywords in title all or one. | intitle:"keyword" |
Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[