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Mohammed Ridwanul mohammedri

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@nayeemzen
nayeemzen / functional-query-string-parser.ts
Created October 23, 2018 18:41
Functional programming approach to parsing query strings in Typescript/ES6
// Functional programming approach to parsing query strings in Typescript/ES6.
function parseQueryString(search: string) {
return (search.startsWith('?') ? search.substring(1) : search)
.split('&')
.map(str => {
const eqIdx = str.indexOf('=');
if (eqIdx <= 0 || eqIdx >= str.length - 1) {
return {};
}

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.


Effective Engineer - Notes

What's an Effective Engineer?

@CMCDragonkai
CMCDragonkai / http_streaming.md
Last active October 24, 2024 17:43
HTTP Streaming (or Chunked vs Store & Forward)

HTTP Streaming (or Chunked vs Store & Forward)

The standard way of understanding the HTTP protocol is via the request reply pattern. Each HTTP transaction consists of a finitely bounded HTTP request and a finitely bounded HTTP response.

However it's also possible for both parts of an HTTP 1.1 transaction to stream their possibly infinitely bounded data. The advantages is that the sender can send data that is beyond the sender's memory limit, and the receiver can act on

@lttlrck
lttlrck / gist:9628955
Created March 18, 2014 20:34
rename git branch locally and remotely
git branch -m old_branch new_branch # Rename branch locally
git push origin :old_branch # Delete the old branch
git push --set-upstream origin new_branch # Push the new branch, set local branch to track the new remote
@debasishg
debasishg / gist:8172796
Last active November 11, 2024 07:10
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep=rep1&amp;t
@livibetter
livibetter / README.rst
Last active January 22, 2021 08:39
Frequency spectrum of sound using PyAudio, NumPy, and Matplotlib