Pavlo Paska ppaska

ppaska / sequential_vs_parallel_call.py

Created October 12, 2022 17:37

Make a Sequential vs. Parallel API Calls in JSPython

	from 'rxjs' import forkJoin, lastValueFrom, map

	ids = [2, 7, 4, 9, 5]

	async def run_Sequential():
	data = []

	for requestId in ids:
	response = httpGet("https://jsonplaceholder.typicode.com/posts/" + requestId)
	data.push({requestId, response})

ppaska / parallel_http_calls.py

Last active October 12, 2022 17:33

How To Make a Parallel Http call in JSPython

	from 'rxjs' import forkJoin, lastValueFrom, map

	ids = [2, 7, 4, 9, 5]

	httpRequests$ = ids
	.map(
	requestId => httpRequest$("GET", "https://jsonplaceholder.typicode.com/posts/" + requestId)
	.pipe(
	map(r => {requestId, response: r.data})
	)

ppaska / av_raw_data.json

Last active April 9, 2022 12:33

Importing Stock Data into the SQL database

	{
	"Meta Data": {
	"1. Information": "Daily Prices (open, high, low, close) and Volumes",
	"2. Symbol": "IBM",
	"3. Last Refreshed": "2022-04-08",
	"4. Output Size": "Compact",
	"5. Time Zone": "US/Eastern"
	},
	"Time Series (Daily)": {
	"2022-04-08": {

ppaska / uniqueID.js

Created April 3, 2022 07:29

export const uniqueId = Date.now().toString(36) + Math.random().toString(36).substring(2);

ppaska / sample1.py

Created December 14, 2019 15:31

JS Python sample gist

	arr = [4, 9, 16]
	def sqrt(a):
	return Math.sqrt(a)
	# use Array.map() with Python function
	roots = arr.map(sqrt).join(",")
	# use Array.map() or use arrow function
	roots = arr.map(i => Math.sqrt(i)).join(",")