misrori

import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

# --- 1. Page Configuration ---
st.set_page_config(page_title="Titanic Dashboard", page_icon="🚢", layout="wide")

# --- 2. Load Data ---
@st.cache_data

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from delta.tables import DeltaTable

# === Variables for catalog & schema ===
m_catalog = "mihaly-orsos-catalog"
m_schema = "data"
m_table = f"{m_catalog}.{m_schema}.delta_demo"
m_table_quoted = f"`{m_catalog}`.`{m_schema}`.`delta_demo`"

# === 1) Create initial Delta table ===
data = [("a", 10), ("b", 20), ("c", 30)]

misrori

import streamlit as st
import pandas as pd
import requests
from bs4 import BeautifulSoup
import plotly.express as px
import io

st.set_page_config(
    page_title="RabbitEars Data Explorer",
    page_icon="📺",

misrori

import streamlit as st
import pandas as pd

def update_index():
    st.session_state.current_index = int(df[df['Display Name'] == st.session_state.sstock].index[0])



# Sample data
data = {

misrori

# get channel id-s
response = client.conversations_list()

# Print channel names and IDs
for channel in response["channels"]:
    print(f"Channel Name: {channel['name']}, Channel ID: {channel['id']}")

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top200['DVD'] = top200['DVD'].str.replace('°', '')
top200['DVD'] = pd.to_datetime(top200['DVD'], format='%B/%Y/%d', errors='coerce')
top50['DVD'] = pd.to_datetime(top50['DVD'], format='%d %b %Y', errors='coerce')

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print('hello2')

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print("hello CEU")

misrori

!pip install goldhand chart-studio

from goldhand import *
import chart_studio
import chart_studio.plotly as py

username=''
api_key=''
chart_studio.tools.set_credentials_file(username=username, api_key=api_key)

misrori

!pip install pyTelegramBotAPI
import os
import telebot

#BOT_TOKEN = os.environ.get('BOT_TOKEN')

BOT_TOKEN = "80..."

bot = telebot.TeleBot(BOT_TOKEN)