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Moja Firma

https://mojafirma.org/

Шаги

Вы заключаете контракт со своим клиентом (клиентами) или через фриланс биржи, используя юридические данные нашего бизнес-инкубатора;
Полученные средства поступают на ваш фирменный суб-счет (валюта PLN, EUR, USD), которые вы потом себе выплачиваете как заработную плату в рамках договора с нами;
Предоставив польским государственным органом подтверждение того, что вы тведете деятельность и проводите доход легально, вы получаете ВНЖ в Польше.

Regular Expressions

Basic Syntax

/.../: Start and end regex delimiters
|: Alternation
(): Grouping

Learn GB Studio 3.x

GB Studio continues to grow and improve. The 3.x series is far more powerful than earlier versions.

It is also a bit more complex to learn, but these resources can help you on your way!

General 🎮
- GB Studio Official Docs
- GB Studio Central
GB Studio Lab

Table of Content

Table of Content
⚠️ Disclaimer ⚠️
Credit
Instructions
Pre-requisite
- Windows
- Mac / Linux
OCI (Oracle Cloud Infrastructure)

Comparison of syntax extensions in Markdown flavors

I created a crude comparison of the syntax of the various common Markdown extensions to have a better view on what are the most common extensions and what is the most widely accepted syntax for them. The list of Markdown flavors that I looked at was based on the list found on CommonMark's GitHub Wiki.

Flavor	Superscript	Subscript	Deletion* Strikethrough	Insertion*	Highlight*	Footnote	Task list	Table	Abbr	Deflist	Smart typo	TOC	Math	Math Block	Mermaid
GFM

	package main

	import(
	"log"
	"net/url"
	"net/http"
	"net/http/httputil"
	)

	func main() {

	// how to compile: gcc dynamic_loading.c -o dynamic_loading -ldl
	#include <stdlib.h>
	#include <stdio.h>
	#include <dlfcn.h>
	#include <string.h>

	int main(int argc, char **argv) {
	void *handle;
	void (go)(char );

	import csv
	import numpy as np
	from collections import Counter
	from nltk.corpus import brown
	from mittens import GloVe, Mittens
	from sklearn.feature_extraction import stop_words
	from sklearn.feature_extraction.text import CountVectorizer


	def glove2dict(glove_filename):

	[
	{
	"Flag": "https://www.currencyremitapp.com/wp-content/themes/currencyremitapp/images/countryimages/albania.png",
	"CountryName": "Albania",
	"Currency": "Lek",
	"Code": "ALL",
	"Symbol": "Lek"
	},
	{
	"Flag": "https://www.currencyremitapp.com/wp-content/themes/currencyremitapp/images/countryimages/afghanistan.png",

	figlet "I've got something to say"

	figlet -f thick "Make Tech ASCIIer"

	date \| figlet -f basic