john-adeojo

from scipy.stats import ks_2samp

# Run a montecarlo simulation over 1,000 turns to get distribution of KS scores for each
def KS_MonteCarlo(euro_league, n_teams, n_seasons):
    simulation = np.arange(1,1001,1)
    ks_run =[]
    for run in simulation:
        flat20 = perfect_competition(n_teams, n_seasons).T.to_numpy().flatten()
        ks_run.append(ks_2samp(euro_league.Pts, flat20).statistic)
    

lynsei

-----CRYPTOMINT-----
//                                                      ;           
//                                                      ED.         
//                                                      E#Wi        
//            i                       j.                E###G.      
//           LE :;;;;;;;;;;;;;.       EW,               E#fD#W;     
//          L#E  jWWWWWWWW###L        E##j              E#t t##L    
//         G#W.          ,W#f         E###D.            E#t  .E#K,  
//        D#K.          ,##f          E#jG#W;           E#t    j##f 
//       E#K.          i##j           E#t t##f          E#t    :E#K:

lynsei

version: "3.5"
# Features driving version requirement
# - networks.name                 3.5
# - healthcheck.start_period      2.3
# - healthcheck                   2.1

services:
  # PostgreSQL: the backing database which stores flow metadata
  postgres:
    image: "postgres:14"  # JSONB Subscripting is avail. in PG14!

lynsei

Configuring kubectl to Access AKS Clusters

This guide will help you configure kubectl to access Azure Kubernetes Service (AKS) clusters, including setting up contexts and testing local configurations.

Prerequisites

Make sure you have the following installed:

• Azure CLI (az): To manage Azure resources.
• kubectl: To interact with Kubernetes clusters.