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import streamlit as st 
import pandas as pd

st.header('Flexible Data Filtering UI')

data = [
    {
        'name':'name1',
        'nickname':'nickname1',
        'date':2010,

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nflfastR Python Guide

August 2021: This serves as the first refresh of this guide. My hope is that this guide is a constant work in progress, receiving updates as I receive requests and discover new things myself. This update features more data visualization examples and a more detailed filtering section. I've also posted all relevant code in the guide to github in a Jupyter Notebook, found here.

This guide serves as an update to my original nflscrapR Python Guide. As of 2020, nflscrapR is defunct and nflfastR has taken its place. As the name implies, the library has made the process of scraping new play by play data much faster.

Using Jupyter Notebooks or Jupyter Lab, which come pre-installed with Anaconda is typically the best way to work with

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{
   "Version": "2012-10-17",
   "Statement": [
      {
         "Effect": "Allow",
         "Action": [
             "rds-db:connect"
         ],
         "Resource": [
             "arn:aws:rds-db:region:account-id:dbuser:dbi-resource-id/database-user-name"

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def deep_ls(path: str, max_depth=1):
    """
    List all files and folders in specified path and
    subfolders within maximum recursion depth.
    """

    # List all files in path and apply sorting rules
    li = mssparkutils.fs.ls(path)

    # Return all files

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def deep_ls(path: str, max_depth=1):
    """
    List all files and folders in specified path and
    subfolders within maximum recursion depth.
    """

    # List all files in path and apply sorting rules
    li = mssparkutils.fs.ls(path)

    # Return all files

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#!/usr/bin/env python
# encoding: utf-8
"""
csv2xml.py

Created by Justin van Wees on 2011-04-18.
"""
import sys
import os
import string

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from io import BytesIO
import gzip
import shutil


def upload_gzipped(bucket, key, fp, compressed_fp=None, content_type='text/plain'):
    """Compress and upload the contents from fp to S3.

    If compressed_fp is None, the compression is performed in memory.
    """

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-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%' 

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Learn Go in ~5mins

This is inspired by A half-hour to learn Rust and Zig in 30 minutes.

Basics

Your first Go program as a classical "Hello World" is pretty simple:

First we create a workspace for our project: