asehmi

Pretty print tables summarizing properties of tensor arrays in numpy, pytorch, jax, etc.

asehmi

import streamlit as st
import pandas as pd
import numpy as np

st.write('`Simple form callback demo`')
st.subheader('Constraints Solver')

state = st.session_state
if 'is_modified' not in state:
    state['is_modified'] = False

asehmi

# Builds on my original Pomodoro timer (see pomodoro.py). This has start, stop, pause controls.
# It uses callbacks, session_state, status messages and reruns for a better UX
# Requires Streamlit, version >= 1.14.0
import streamlit as st
import time

st.set_page_config(
    page_title='Pomodoro',
    layout='centered',
    page_icon='🍅'

asehmi

# https://discuss.streamlit.io/t/how-to-add-a-download-excel-csv-function-to-a-button/4474/16
import streamlit as st  # 🎈 streamlit development
import pandas as pd
import io
from itertools import cycle

buffer = io.BytesIO()

# Create some Pandas dataframes from some data.
df_list = []

asehmi

import json
import streamlit as st
import pandas as pd

st.set_page_config(
    page_title='Cascade Selection',
    layout='centered',
    page_icon='🌴'
)

asehmi

# Slightly improved with a couple of js call wrappers to clean code and add async/await boilerplate
import streamlit as st
# https://github.com/thunderbug1/streamlit-javascript
from streamlit_javascript import st_javascript

st.header("st_javascript demo")

st.write("#### Helper wrappers")

with st.echo():

asehmi

# See discussion: https://github.com/streamlit/streamlit/pull/5457

import re
import streamlit as st
try:
    # Streamlit >= 1.12.0
    from streamlit.web.server.server import Server
    from streamlit.runtime.runtime import Runtime, SessionInfo
    from streamlit.runtime.scriptrunner import add_script_run_ctx
    # from streamlit.runtime.scriptrunner import get_script_run_ctx

asehmi

import csv
import datetime as dt
import requests
import mplfinance as mpf
import pandas as pd
from pandas_datareader import data as pdr

import streamlit as st

# -----------------------------------------------------------------------------

asehmi

import streamlit as st

# --------------------------------------------------------------------------------

def v_space(n, level=None):
    for _ in range(n):
        header_marks = ''
        if level:
            header_marks = '#' * int(level)
        st.write(f'{header_marks}  '.strip())

asehmi

#
# This seems to be a common issue amongst new Streamlit users, so I wrote a mini-tutorial app to explain how widgets 
# are used with initialized values and how to make them stick using session state and callbacks.
# 
# There are three ways:
#
# (1) The most basic where the initial value is not given but the widget is always reset, 
# (2) Where it’s initialized but there are issues getting the return value to stick, and finally 
# (3) Overcoming all issues with session state and callbacks.
#