| from sklearn.feature_extraction.text import CountVectorizer | |
| import numpy as np | |
| import pandas as pd | |
| import scipy as sp | |
| posts = pd.read_csv('posts.csv') | |
| # Create vectorizer for function to use | |
| vectorizer = CountVectorizer(binary=False) | |
| y = posts["score"].values.astype(np.float32) |
Migrations are a way to make database changes or updates, like creating or dropping tables, as well as updating a table with new columns with constraints via generated scripts. We can build these scripts via the command line using knex command line tool.
To learn more about migrations, check out this article on the different types of database migrations!
| #!/bin/bash | |
| # ==================================================================================================================== | |
| # | |
| # Converted for bash by @stollcri (stollcri at gmail dot com), 2020-07-28 | |
| # | |
| # Originally downloaded from: https://sites.google.com/site/c41digitallab/the-complexity | |
| # | |
| # ==================================================================================================================== | |
| # C41LAB - Version 1.2 | |
| # |
Last Updated: June 7, 2025
FamilySearch.com is one of the world's largest genealogy platforms, but it doesn't offer a direct, built-in GEDCOM export feature. This guide provides comprehensive methods to export and preserve your family history data.
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
