| domain | name | type | ||
|---|---|---|---|---|
| katyperry | katyperry.com | KATY PERRY | celebrity | |
| justinbieber | smarturl.it | Justin Bieber | celebrity | |
| taylorswift13 | grmypro.co | Taylor Swift | celebrity | |
| rihanna | rihannanow.com | Rihanna | celebrity | |
| ladygaga | The Countess | celebrity | ||
| jtimberlake | justintimberlake.com | Justin Timberlake | celebrity | |
| TheEllenShow | ellentube.com | Ellen DeGeneres | celebrity | |
| britneyspears | britney.lk | Britney Spears | celebrity | |
| Cristiano | Cristiano Ronaldo | celebrity |
| #!/usr/bin/env python | |
| # import csv | |
| # reader = csv.reader(open('4956984.csv', 'rb')) | |
| def gen_chunks(reader, chunksize=100): | |
| """ | |
| Chunk generator. Take a CSV `reader` and yield | |
| `chunksize` sized slices. | |
| """ |
| // google-scholar.svg | |
| <svg height="2500" width="2500" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"> | |
| <g fill="none" fill-rule="evenodd"><path d="M256 411.12L0 202.667 256 0z" fill="#4285f4"/> | |
| <path d="M256 411.12l256-208.453L256 0z" fill="#356ac3"/> | |
| <circle cx="256" cy="362.667" fill="#a0c3ff" r="149.333"/> | |
| <path d="M121.037 298.667c23.968-50.453 75.392-85.334 134.963-85.334s110.995 34.881 134.963 85.334H121.037z" fill="#76a7fa"/> | |
| </g> | |
| </svg> | |
| // style.css |
| from sklearn.model_selection import GridSearchCV, RandomizedSearchCV, StratifiedKFold | |
| from sklearn.metrics import accuracy_score | |
| # configure the cross-validation procedure | |
| kf = StratifiedKFold(n_splits = 10 , shuffle = True , random_state = 42) | |
| def tune_hyperparameter(search_method, estimator, search_space): | |
| # enumerate splits | |
| outer_results = list() |
| import pandas as pd | |
| import glob | |
| path = r'C:\DRO\DCL_rawdata_files' # use your path | |
| all_files = glob.glob(path + "/*.csv") | |
| li = [] | |
| for filename in all_files: | |
| df = pd.read_csv(filename, index_col=None, header=0) # to keep a single header |
See also:
| Service | Type | Limitations |
|---|---|---|
| Amazon DynamoDB | Proprietary NoSQL | 25 GB of storage |
| Amazon RDS | Proprietary RDBMS | |
| Azure SQL Database | MS SQL Server | |
| Clever Cloud | PostgreSQL, MySQL, MongoDB, Redis | 256 MB of storage (PostgreSQL)Max 5 connections (PostgreSQL) |
| import concurrent.futures | |
| def test(li): | |
| # print('hello world') | |
| if li: | |
| print('hello world', li) | |
| def run_all(li): |
| [postgresql] | |
| host=localhost | |
| database=my_db | |
| user=postgres | |
| password=postgres |
| """ | |
| MongoDecimalField to work with mongdb decimal field using djongo | |
| """ | |
| from bson.decimal128 import Decimal128 | |
| from djongo.models import DecimalField | |
| # https://github.com/nesdis/djongo/issues/82 | |
| # https://github.com/nesdis/djongo/issues/378 |
| Icons | |
| Avater pack | |
| 1. https://www.flaticon.com/packs/avatars-93 |