| # Please note that in actual production all passwords, usernames, dbnames, etc MUST grab from .env or the like | |
| # Otherwise you may as well tell the whole world to hack you because WP wasn't already the largest possible target... | |
| version: '3' | |
| services: | |
| # Database | |
| db: | |
| # Give the DB a unique name | |
| container_name: baseDB |
Currently YETI exists mostly as a thought experiment attempting to answer the question of "how could web developers and designers move away from traditional row & column based design?" and "do we need to?"
YETI attempts to answer this question by defining semantic templates using css grid-template and dynamic properties to responsively diff the templates definitions.
P.S. More than likely this is just a dumb, overly complex way to think about layouts... You be the judge.
A curated list of useful resources that includes a combination of free and paid content.
Feel free to submit a pull request if you have any suggestions.
| function modifiedGraphEdges(n, edges, source, destination, target) { | |
| const finalize = (m, edges) => { | |
| for (let e of edges) { | |
| if (e[2] < 0) { | |
| if (m > 0) { | |
| --m; | |
| e[2] = 1; | |
| } else { | |
| e[2] = 1234567890; | |
| } |
| from PIL import Image | |
| # File paths of the storyboard images | |
| file_paths = [ | |
| '/mnt/data/Storyboard_for_a_responsive_website_homepage_for_a.png', | |
| '/mnt/data/Storyboard_for_a_responsive_About_Us_page_for_a_.png', | |
| '/mnt/data/Storyboard_for_a_responsive_Residential_Informati.png', | |
| '/mnt/data/Storyboard_for_a_responsive_Commercial_Spaces_pa.png', | |
| '/mnt/data/Storyboard_for_a_responsive_Community_Amenities_.png', | |
| '/mnt/data/Storyboard_for_a_responsive_Events_and_News_page.png', |
| import os | |
| import yaml | |
| def create_directory_structure(root, structure): | |
| if isinstance(structure, list): | |
| for item in structure: | |
| if isinstance(item, dict): | |
| for key, val in item.items(): | |
| dir_path = os.path.join(root, key) | |
| os.makedirs(dir_path, exist_ok=True) |
| # Import necessary libraries | |
| import numpy as np | |
| import yfinance as yf | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| from sklearn.linear_model import LinearRegression | |
| from sklearn.metrics import mean_squared_error, mean_absolute_error | |
| from statsmodels.tsa.holtwinters import ExponentialSmoothing | |
| # Data Acquisition |