rajagurunath

import pandas as pd 
import path
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import argparse
plt.style.use("seaborn-poster")


DATA_DIR=path.Path(r"D:\experiments\data\Capstone_proj")
dataset_lookup={

rajagurunath

import pandas as pd 
import path
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import argparse
plt.style.use("seaborn-poster")


DATA_DIR=path.Path(r"D:\experiments\data\Capstone_proj")
dataset_lookup={

rajagurunath

import streamlit as st
from datetime import time
from datetime import date
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.figure_factory as ff
import plotly.graph_objs  as go
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split

rajagurunath

"""
TODO:to fix bug 
    not able consume complete message from websocker server
    stops after receiving first messages
    have to handle it properly
"""

import asyncio
import websockets

rajagurunath

rajagurunath

from time_reccurence import past_tense   # kind of data (past_tense data) 
from inner_soul_compute import lingering_happy_thoughts  # kind of filter + compute if needed
from pyscho_facts import expand_memory_via_happiness,    # import some pyschology facts
                          happiness_is_new_vaccine
from happy_mindset import share_with_frnds              # import from happy_mindset

def solve_corona_vaccine(lockdown):
    """
    Healthy mind leads to Healthy Body
    """

rajagurunath

#!/bin/bash

# nanochat Training Script for IONet CaaS (Gist Version)
# This script is designed to be hosted on GitHub Gist for easy updates
# without rebuilding Docker images

set -e  # Exit on error

echo "=================================="
echo "nanochat IONet Training (Gist)"