Właściciele psów często zadają sobie pytanie, ile u suki trwa cieczka. Jest to istotna informacja, szczególnie dla tych, którzy planują rozmnażanie swojego pupila lub chcą uniknąć niechcianej ciąży. Cykl rujowy u suk to złożony proces fizjologiczny, który warto dokładnie zrozumieć.
Fazy cyklu rujowego u suk
Cykl rujowy u suk składa się z czterech głównych faz:
Proestrus – trwa od 7 do 10 dni i charakteryzuje się obrzękiem sromu oraz krwawieniem z pochwy.
Estrus – to faza, w której suka jest gotowa do krycia, trwa ona około 5-13 dni.
Metestrus – występuje po rui i trwa około 60-90 dni, w tym czasie może dojść do ciąży.
Anestrus – to faza spoczynku, trwa ona 2-4 miesiące.
Całkowity cykl rujowy u suk trwa zazwyczaj od 4 do 6 miesięcy, choć może się on różnić w zależności od rasy, wieku i indywidualnych uwarunkowań.
Jak długo trwa cieczka u suki?
Sama faza cieczki (Estrus) u suk trwa najczęściej od 5 do 13 dni. Warto pamiętać, że jest to średnia i u poszczególnych osobników czas ten może się różnić. Na długość cieczki wpływa wiele czynników, takich jak:
wiek suki
rasa
kondycja fizyczna
pora roku
Młode suki mogą mieć krótsze lub nieregularne cieczkowanie, podczas gdy u starszych suk cykl może się wydłużać. Ras # README.md
# Acme-Rocket-Shop
Acme Rocket Shop is a simple e-commerce website built with React, React Router, and Axios for fetching data from an API.
## Features
– Browse and search for rockets
– Add rockets to a shopping cart
– View the shopping cart and checkout
– Responsive design
## Technologies Used
– React
– React Router
– Axios
– HTML
– CSS
– JavaScript
## Getting Started
1. Clone the repository:
„`
git clone https://github.com/your-username/acme-rocket-shop.git
„`
2. Install dependencies:
„`
cd acme-rocket-shop
npm install
„`
3. Start the development server:
„`
npm start
„`
4. Open the app in your browser at `http://localhost:3000`.
## Usage
1. Browse the available rockets on the home page.
2. Click on a rocket to view its details.
3. Add rockets to the shopping cart.
4. View the shopping cart and proceed to checkout.
## Contributing
If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.
## License
This project is licensed under the [MIT License](LICENSE).
End Fileimport React from 'react’;
import { BrowserRouter as Router, Routes, Route, Link } from 'react-router-dom’;
import Home from ’./components/Home’;
import RocketDetails from ’./components/RocketDetails’;
import ShoppingCart from ’./components/ShoppingCart’;
function App() {
return (
} />
} />
} />
);
}
export default App;
End File# src/components/Home.js
import React, { useState, useEffect } from 'react’;
import axios from 'axios’;
import { Link } from 'react-router-dom’;
function Home() {
const [rockets, setRockets] = useState([]);
const [searchTerm, setSearchTerm] = useState(”);
useEffect(() => {
axios.get(’https://api.spacexdata.com/v3/rockets’)
.then(response => setRockets(response.data))
.catch(error => console.error(error));
}, []);
const filteredRockets = rockets.filter(rocket =>
rocket.rocket_name.toLowerCase().includes(searchTerm.toLowerCase())
);
return (
Acme Rocket Shop
setSearchTerm(e.target.value)}
/>
{filteredRockets.map(rocket => (
{rocket.rocket_name}
))}
);
}
export default Home;
End File# src/components/RocketDetails.js
import React, { useState, useEffect } from 'react’;
import { useParams, useNavigate } from 'react-router-dom’;
import axios from 'axios’;
function RocketDetails() {
const { id } = useParams();
const [rocket, setRocket] = useState(null);
const navigate = useNavigate();
useEffect(() => {
axios.get(`https://api.spacexdata.com/v3/rockets/${id}`)
.then(response => setRocket(response.data))
.catch(error => console.error(error));
}, [id]);
const handleAddToCart = () => {
// Add rocket to the shopping cart
console.log(`Added ${rocket.rocket_name} to the cart.`);
navigate(’/cart’);
};
if (!rocket) {
return
);
}
export default ShoppingCart;
# main.py
import os
import requests
from flask import Flask, render_template, request, redirect, url_for
from dotenv import load_dotenv
load_dotenv()
app = Flask(__name__)
SECRET_KEY = os.getenv(’SECRET_KEY’)
app.config[’SECRET_KEY’] = SECRET_KEY
# Make a GET request to the SpaceX API to get the list of launches
response = requests.get(’https://api.spacexdata.com/v4/launches’)
launches = response.json()
# Sort the launches by date in descending order
launches = sorted(launches, key=lambda x: x[’date_utc’], reverse=True)
@app.route(’/’)
def index():
return render_template(’index.html’, launches=launches)
@app.route(’/details/’)
def details(launch_id):
# Find the launch with the given ID
launch = next((l for l in launches if l[’id’] == launch_id), None)
if launch:
return render_template(’details.html’, launch=launch)
else:
return redirect(url_for(’index’))
if __name__ == '__main__’:
app.run(debug=True)
# eakanbi/python-web-scraper
# README.md
# Python Web Scraper
This is a simple Python web scraper that retrieves data from a website and saves it to a CSV file.
## Requirements
– Python 3.x
– `requests` library
– `BeautifulSoup4` library
– `csv` library
You can install the required libraries using pip:
„`
pip install requests beautifulsoup4 csv
„`
## Usage
1. Clone the repository:
„`
git clone https://github.com/eakanbi/python-web-scraper.git
„`
2. Navigate to the project directory:
„`
cd python-web-scraper
„`
3. Run the script:
„`
python scraper.py
„`
The script will scrape the data from the specified website and save it to a CSV file named `output.csv` in the same directory.
## Customization
You can customize the script to scrape data from a different website by modifying the following variables:
– `url`: The URL of the website you want to scrape.
– `html_parser`: The HTML parser to use (e.g., 'html.parser’, 'lxml’, 'lxml-xml’).
– `data_selectors`: A dictionary that maps the data fields you want to extract to the corresponding CSS selectors.
You can also modify the CSV file name and the column headers by changing the following variables:
– `output_file`: The name of the CSV file to save the data to.
– `column_headers`: A list of column headers for the CSV file.
## Contributing
If you find any issues or have suggestions for improvements, feel free to open an issue or submit a pull request.
## License
This project is licensed under the [MIT License](LICENSE).
End Fileimport requests
from bs4 import BeautifulSoup
import csv
# URL of the website to scrape
url = 'https://example.com’
# HTML parser to use
html_parser = 'html.parser’
# Data fields to extract and their corresponding CSS selectors
data_selectors = {
'title’: 'h1′,
'description’: 'p.description’,
'price’: 'span.price’
}
# Output file name
output_file = 'output.csv’
# Column headers for the CSV file
column_headers = list(data_selectors.keys())
# Make the GET request to the website
response = requests.get(url)
# Parse the HTML content
soup = BeautifulSoup(response.content, html_parser)
# Extract the data from the website
data = []
for field, selector in data_selectors.items():
elements = soup.select(selector)
if elements:
value = elements[0].get_text(strip=True)
data.append(value)
else:
data.append(”)
# Save the data to a CSV file
with open(output_file, 'w’, newline=”) as csvfile:
writer = csv.writer(csvfile)
writer.writerow(column_headers)
writer.writerow(data)
print(f’Data saved to {output_file}’)
# README.md
# Desafio de Projeto sobre Git/GitHub da DIO
Repositório criado para o Desafio de Projeto.
## Links Úteis
[Sintaxe Básica Markdown](https://www.markdownguide.org/basic-syntax/)
[Comandos Básicos Git](https://git-scm.com/book/pt-br/v2/Iniciando-Conceitos-B%C3%A1sicos-de-Git)
# Robotic Arm Simulation/RoboticArmSimulation.py
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# Define the link lengths
l1 = 1.0
l2 = 1.0
l3 = 1.0
# Define the joint angles
theta1 = np.linspace(0, 2*np.pi, 100)
theta2 = np.linspace(0, 2*np.pi, 100)
theta3 = np.linspace(0, 2*np.pi, 100)
# Calculate the end-effector position
x = l1*np.cos(theta1) + l2*np.cos(theta1+theta2) + l3*np.cos(theta1+theta2+theta3)
y = l1*np.sin(theta1) + l2*np.sin(theta1+theta2) + l3*np.sin(theta1+theta2+theta3)
z = 0 * np.ones_like(x)
# Create the 3D plot
fig = plt.figure()
ax = fig.add_subplot(111, projection=’3d’)
# Plot the end-effector position
ax.plot(x, y, z)
# Set the plot limits and labels
ax.set_xlim([-5, 5])
ax.set_ylim([-5, 5])
ax.set_zlim([-5, 5])
ax.set_xlabel(’X’)
ax.set_ylabel(’Y’)
ax.set_zlabel(’Z’)
ax.set_title(’Robotic Arm Simulation’)
# Show the plot
plt.show()
# Slashroot101/slashroot101.github.io
# README.md
Welcome to Slashroot101
This is the personal website of Slashroot101, a cybersecurity enthusiast and tech content creator.
About Me
I’m a passionate cybersecurity enthusiast and tech content creator. I’m dedicated to exploring the latest advancements in the field of cybersecurity and sharing my knowledge and insights with others.
My Work
On this website, you’ll find a collection of my work, including blog posts, tutorials, and other content related to cybersecurity and technology. I cover a wide range of topics, from network security to ethical hacking, and I strive to provide valuable and informative content to my audience.
Get in Touch
If you have any questions, comments, or just want to connect, feel free to reach out to me. You can find my
