Created
December 8, 2021 14:06
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| import dash | |
| import dash_core_components as dcc | |
| import dash_html_components as html | |
| import plotly.express as px | |
| import pandas as pd | |
| app = dash.Dash() | |
| df = pd.read_csv( | |
| "https://raw.githubusercontent.com/ThuwarakeshM/geting-started-with-plottly-dash/main/life_expectancy.csv" | |
| ) | |
| fig = px.scatter( | |
| df, | |
| x="GDP", | |
| y="Life expectancy", | |
| size="Population", | |
| color="continent", | |
| hover_name="Country", | |
| log_x=True, | |
| size_max=60, | |
| ) | |
| app.layout = html.Div([dcc.Graph(id="life-exp-vs-gdp", figure=fig)]) | |
| if __name__ == "__main__": | |
| app.run_server(debug=True) |
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| from typing import Text | |
| import kivy | |
| from kivy.uix.widget import Widget | |
| kivy.require("2.0.0") # replace with your current kivy version ! | |
| from kivy.app import App | |
| from kivy.uix.label import Label | |
| from kivy.uix.textinput import TextInput | |
| from kivy.uix.gridlayout import GridLayout | |
| class HomePage(GridLayout): | |
| def __init__(self, **kwargs): | |
| super(HomePage, self).__init__(**kwargs) | |
| self.cols = 2 | |
| self.add_widget(Label(text="Hello, what's your name?")) | |
| self.add_widget(TextInput(multiline=False)) | |
| class MyApp(App): | |
| def build(self): | |
| return HomePage() | |
| if __name__ == "__main__": | |
| MyApp().run() |
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| import sys | |
| from PyQt5.QtWidgets import QApplication, QWidget, QLabel | |
| from PyQt5.QtGui import QIcon | |
| from PyQt5.QtCore import pyqtSlot | |
| def window(): | |
| app = QApplication(sys.argv) | |
| widget = QWidget() | |
| textLabel = QLabel(widget) | |
| textLabel.setText("Hello World!") | |
| textLabel.move(90,85) | |
| widget.setGeometry(50,50,320,200) | |
| widget.setWindowTitle("My first PyQt5 project") | |
| widget.show() | |
| sys.exit(app.exec_()) | |
| if __name__ == '__main__': | |
| window() | |
| sys.exit(app.exec_()) |
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| import streamlit as st | |
| import pandas as pd | |
| df = pd.read_csv( | |
| "https://raw.githubusercontent.com/ThuwarakeshM/PracticalML-KMeans-Election/master/voters_demo_sample.csv" | |
| ) | |
| st.title("Interactive K-Means Clustering") | |
| st.write("Here is the dataset used in this analysis:") | |
| st.write(df) |
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| import tkinter as tk | |
| root = tk.Tk() | |
| txt = tk.Label(root, text="My First Tkinter App!") | |
| txt.pack() | |
| root.mainloop() |
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