There exist several DI frameworks / libraries in the Scala ecosystem. But the more functional code you write the more you'll realize there's no need to use any of them.
A few of the most claimed benefits are the following:
| // It is important to declare your variables. | |
| (function() { | |
| var foo = 'Hello, world!'; | |
| print(foo); //=> Hello, world! | |
| })(); | |
| // Because if you don't, the become global variables. | |
| (function() { |
In Sep, 2021, Jupyterlab Desktop App (electron) was released by Mehmet Bektas (github repo).
brew install --cask jupyterlab
| # ======================================== | |
| # Testing n-gram analysis in ElasticSearch | |
| # ======================================== | |
| curl -X DELETE localhost:9200/ngram_test | |
| curl -X PUT localhost:9200/ngram_test -d ' | |
| { | |
| "settings" : { | |
| "index" : { | |
| "analysis" : { |
| # Copyright 2012 Erlware, LLC. All Rights Reserved. | |
| # | |
| # This file is provided to you under the Apache License, | |
| # Version 2.0 (the "License"); you may not use this file | |
| # except in compliance with the License. You may obtain | |
| # a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, |
| """ | |
| Demo of json_required decorator for API input validation/error handling | |
| """ | |
| import inspect | |
| import functools | |
| import json | |
| from traceback import format_exception | |
| from flask import jsonify, request | |
| import sys |
import pandas as pd
import numpy as np
from tabulate import tabulate
df = pd.DataFrame(np.random.random((4,3)), columns=['A','B','C'])
print("foo")
return(tabulate(df, headers="keys", tablefmt="orgtbl"))
| ''' | |
| email send service library. Using SMTP. | |
| author: yaowei | |
| last modify: 2012-07-30 | |
| ''' | |
| import datetime | |
| import logging | |
| import os |