Éder Luís Britto Garcia eder-projetos-dev

## cotacao_btc_dolar_gist.py
from requests import Request, Session
import json
import time
import webbrowser
import pprint

def getInfo (): # Function to get the info

    url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/quotes/latest' # Coinmarketcap API url

## README.md

      
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              Last active
              March 4, 2023 01:07
            
              
                Python - Barcode generator
              
          
    Barcode Generator in Python

Install python-barcode

pip install python-barcode
Test

#!/usr/bin/env python

  
## teste.html
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta http-equiv="X-UA-Compatible" content="IE=edge" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <link rel="icon" href="data:," />
    <title>Copy to Clipboard</title>
  </head>
  <body>

## simple_sign_in_and_sign_out.py
from flask import Flask, session, escape, request, redirect, url_for
from os import urandom

app = Flask(__name__)

app.debug = True
app.secret_key = urandom(24)


@app.route('/')

## gist:9684a93879cfc819b13a5f8c704436d2
<style>
  input[type='radio'] {
    accent-color: #232323;
  }
</style>

## gist:61edd513b938c4c54403284b6468dc6a
<!-- HTML -->

<details open id="details_vermelho" class="collapse1">
  <summary class="title">Vermelho</summary>
  <div style="background-color: #e14747"><br></div>
  <div>
    <p>Lorem ipsum dolor, sit amet consectetur adipisicing elit.</p>
  </div>
</details>


## gist:a5d79f64310b3074f102079ec17e3508
# Traditional approach
squares = []
for num in range(1, 11):
    squares.append(num**2)

# List comprehension
squares = [num**2 for num in range(1, 11)]

## gist:65ce46cc4a14c61990d40f9630f250ee
# Traditional approach
point = (3, 7)
x = point[0]
y = point[1]

# Tuple unpacking
x, y = point

# Pro Tip: When unpacking tuples, you can use an asterisk (*) to capture multiple elements into a single variable.
# This is particularly useful when dealing with variable-length tuples.

## gist:437b9c7fb5153ab4a89936576f074654
# Traditional approach
file = open("data.txt", "r")
try:
    data = file.read()
    # Process the data
finally:
    file.close()

# Context manager
with open("data.txt", "r") as file:

## gist:282d9f143caf43ec26e6a71e0e188b5b
import sqlite3

with sqlite3.connect("mydb.db") as conn:
    cursor = conn.cursor()
    cursor.execute("SELECT * FROM users")
    results = cursor.fetchall()
	from requests import Request, Session
	import json
	import time
	import webbrowser
	import pprint

	def getInfo (): # Function to get the info

	url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/quotes/latest' # Coinmarketcap API url
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8" />
	<meta http-equiv="X-UA-Compatible" content="IE=edge" />
	<meta name="viewport" content="width=device-width, initial-scale=1.0" />
	<link rel="icon" href="data:," />
	<title>Copy to Clipboard</title>
	</head>
	<body>
	from flask import Flask, session, escape, request, redirect, url_for
	from os import urandom

	app = Flask(__name__)

	app.debug = True
	app.secret_key = urandom(24)


	@app.route('/')
	<!-- HTML -->

	<details open id="details_vermelho" class="collapse1">
	<summary class="title">Vermelho</summary>
	<div style="background-color: #e14747"><br></div>
	<div>
	<p>Lorem ipsum dolor, sit amet consectetur adipisicing elit.</p>
	</div>
	</details>
	# Traditional approach
	squares = []
	for num in range(1, 11):
	squares.append(num**2)

	# List comprehension
	squares = [num**2 for num in range(1, 11)]
	# Traditional approach
	point = (3, 7)
	x = point[0]
	y = point[1]

	# Tuple unpacking
	x, y = point

	# Pro Tip: When unpacking tuples, you can use an asterisk (*) to capture multiple elements into a single variable.
	# This is particularly useful when dealing with variable-length tuples.
	# Traditional approach
	file = open("data.txt", "r")
	try:
	data = file.read()
	# Process the data
	finally:
	file.close()

	# Context manager
	with open("data.txt", "r") as file:
	import sqlite3

	with sqlite3.connect("mydb.db") as conn:
	cursor = conn.cursor()
	cursor.execute("SELECT * FROM users")
	results = cursor.fetchall()