hdary85

import tkinter as tk
from tkinter import simpledialog, messagebox

class NestedDictManager:
    def __init__(self, root, data):
        self.root = root
        self.root.title("Nested Dictionary Manager")

        self.data = data  # Use the provided dictionary
        self.tree = tk.ttk.Treeview(self.root)

hdary85

# Liste de tous les produits uniques
all_products = set(df['PRODUIT'])

# Grouper les produits achetés par CLIENT
grouped = df.groupby('CLIENT')['PRODUIT'].apply(set)

# Générer toutes les combinaisons de 3 à 5 produits
unique_combos = []
used_products = set()

hdary85

data resultats;
    set votre_table;

    array colonnes[*] col1-col20;

    terme1_present = 0;
    terme2_present = 0;
    terme3_present = 0;

    do i = 1 to dim(colonnes);

hdary85

import pandas as pd
import spacy

# Charger le modèle spaCy pour le traitement du langage naturel (fr_core_news_sm est un modèle léger pour le français)
nlp = spacy.load('fr_core_news_sm')

# Charger le fichier CSV dans un dataframe
df = pd.read_csv('votre_fichier.csv')

# Charger le fichier texte

hdary85

import pandas as pd
from difflib import SequenceMatcher
import csv
import re

# Charger le fichier CSV dans un dataframe
df = pd.read_csv('votre_fichier.csv')

# Charger le fichier texte
with open('votre_fichier.txt', 'r', encoding='utf-8') as file:

hdary85

import os
import psutil

def get_files_in_use(directory):
    files_in_use = set()

    # Iterate through all files in the directory and its subdirectories
    for root, dirs, files in os.walk(directory):
        for file in files:
            file_path = os.path.join(root, file)

hdary85

%macro Calculs_Trimestriels(trimestre);

    /* Début de la macro */
    
    /* Extraction des informations nécessaires de la table */
    data TempData;
        set NOM_TABLE;
        format DateDepot datetime27.6;
        trimestre_date = intnx('quarter', input(put(&trimestre., yymmn6.), yymmn6.), 0, 'b');
    run;

hdary85

# Save the Streamlit code in a separate file, e.g., my_streamlit_app.py

# my_streamlit_app.py
import streamlit as st

def update_nested_dict(nested_dict, keys, new_value):
    current_dict = nested_dict
    for key in keys[:-1]:
        current_dict = current_dict[key]
    current_dict[keys[-1]] = new_value

hdary85

import ipywidgets as widgets
from IPython.display import display

def update_nested_dict(nested_dict, keys, new_value):
    current_dict = nested_dict
    for key in keys[:-1]:
        current_dict = current_dict[key]
    current_dict[keys[-1]] = new_value

def display_and_update_widgets(nested_dict):

hdary85

import ipywidgets as widgets
from IPython.display import display

class NestedDictManagerJupyter:
    def __init__(self, original_data):
        self.original_data = original_data
        self.data = original_data.copy()

        self.accordion = widgets.Accordion(selected_index=None)
        self.accordion.observe(self.update_selected_item, names='selected_index')