Aloy Aditya Sen AloyASen

## timescaledb-timescaledb-postgresql-adaptor-docker-compose.yml

I choosed host path mapping for postgresql data directory in a separate OS disk to be able to resize partition later.
You can use docker standart volumes too.

# mkdir -p /data/timescaledb

# cat docker-compose.yml
version: '3'

services:

## index.html
<!DOCTYPE html>
<html>
    <head>
        <title>Basic interactive video with HTML5 and vanilla JavaScript</title>
    </head>
    <body>

        <!-- Read my blog post on interactive videos: https://mostlydevstuff.com/2018/basic-interactive-video-with-html5-and-javascript/  -->

        <style>

## .babelrc
{
  "presets": [
    ["env", {
      "targets": {
        "node": "6.10"
      }
    }]
  ]
}

## scrapingexample.py
'''
Example of web scraping using Python and BeautifulSoup.

Sraping ESPN College Football data
http://www.espn.com/college-sports/football/recruiting/databaseresults/_/sportid/24/class/2006/sort/school/starsfilter/GT/ratingfilter/GT/statuscommit/Commitments/statusuncommit/Uncommited

The script will loop through a defined number of pages to extract footballer data.
'''

from bs4 import BeautifulSoup

## TravisGitHub.md

      
              1 file
            
          
              3 forks
            
          
                7 comments
              
            
              18 stars
            
          
                qoomon
                / TravisGitHub.md
            
            
              Last active
              September 16, 2024 18:50
            
              
                Setup GitHub Deploy Keys For Travis
              
          
    Setup Travis Deploy (macOS)

see Travis documentation
gem install travis
ssh-keygen -t rsa -b 4096 -f 'github_deploy_key' -N ''
cat github_deploy_key.pub
copy public key and set as a deploy key on github e.g https://github.com///settings/keys

  
## .block
license: mit

## cereal_polymorphic_serialization.cc
#include <iostream>
#include <vector>
#include <memory>
#include <cereal/archives/binary.hpp>
#include <cereal/types/vector.hpp>
#include <cereal/types/string.hpp>
#include <cereal/types/base_class.hpp>
#include <cereal/types/memory.hpp>
#include <cereal/access.hpp>

## main.cpp

#include<cstdio>
#include<cstring>


#ifdef _WIN32
#include <winsock2.h>
#include <ws2tcpip.h>
#else
#include<unistd.h>

## basic.md

      
              5 files
            
          
              22 forks
            
          
                9 comments
              
            
              85 stars
            
          
                zenorocha
                / basic.md
            
            
              Last active
              March 26, 2023 09:00
            
              
                New Firebase Auth vs Old Firebase Auth
              
          
    Basic Auth


New docs
Old docs

Create account

New API


## redux-thunk-examples.js
// The classic AJAX call - dispatch before the request, and after it comes back
function myThunkActionCreator(someValue) {
    return (dispatch, getState) => {
        dispatch({type : "REQUEST_STARTED"});

        myAjaxLib.post("/someEndpoint", {data : someValue})
            .then(
                response => dispatch({type : "REQUEST_SUCCEEDED", payload : response}),
                error => dispatch({type : "REQUEST_FAILED", error : error})
            );

	I choosed host path mapping for postgresql data directory in a separate OS disk to be able to resize partition later.
	You can use docker standart volumes too.

	# mkdir -p /data/timescaledb

	# cat docker-compose.yml
	version: '3'

	services:
	<!DOCTYPE html>
	<html>
	<head>
	<title>Basic interactive video with HTML5 and vanilla JavaScript</title>
	</head>
	<body>

	<!-- Read my blog post on interactive videos: https://mostlydevstuff.com/2018/basic-interactive-video-with-html5-and-javascript/ -->

	<style>
	'''
	Example of web scraping using Python and BeautifulSoup.

	Sraping ESPN College Football data
	http://www.espn.com/college-sports/football/recruiting/databaseresults/_/sportid/24/class/2006/sort/school/starsfilter/GT/ratingfilter/GT/statuscommit/Commitments/statusuncommit/Uncommited

	The script will loop through a defined number of pages to extract footballer data.
	'''

	from bs4 import BeautifulSoup
	#include <iostream>
	#include <vector>
	#include <memory>
	#include <cereal/archives/binary.hpp>
	#include <cereal/types/vector.hpp>
	#include <cereal/types/string.hpp>
	#include <cereal/types/base_class.hpp>
	#include <cereal/types/memory.hpp>
	#include <cereal/access.hpp>

	#include<cstdio>
	#include<cstring>


	#ifdef _WIN32
	#include <winsock2.h>
	#include <ws2tcpip.h>
	#else
	#include<unistd.h>
	// The classic AJAX call - dispatch before the request, and after it comes back
	function myThunkActionCreator(someValue) {
	return (dispatch, getState) => {
	dispatch({type : "REQUEST_STARTED"});

	myAjaxLib.post("/someEndpoint", {data : someValue})
	.then(
	response => dispatch({type : "REQUEST_SUCCEEDED", payload : response}),
	error => dispatch({type : "REQUEST_FAILED", error : error})
	);