Skip to content

Instantly share code, notes, and snippets.

View jiteshk23's full-sized avatar
🤓
Learning!

Jitesh Khandelwal jiteshk23

🤓
Learning!
  • Tower Research Capital India Pvt. Ltd.
  • Gurgaon, Haryana
  • X @jiteshk23
View GitHub Profile

Principles of Adult Behavior

  1. Be patient. No matter what.
  2. Don’t badmouth: Assign responsibility, not blame. Say nothing of another you wouldn’t say to him.
  3. Never assume the motives of others are, to them, less noble than yours are to you.
  4. Expand your sense of the possible.
  5. Don’t trouble yourself with matters you truly cannot change.
  6. Expect no more of anyone than you can deliver yourself.
  7. Tolerate ambiguity.
  8. Laugh at yourself frequently.
@sirbrillig
sirbrillig / .vimrc
Created December 27, 2015 23:50
Add ES2015 template strings to vim colorscheme
" Highlight ES6 template strings
hi link javaScriptTemplateDelim String
hi link javaScriptTemplateVar Text
hi link javaScriptTemplateString String
@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&rep=rep1&t
@schlamar
schlamar / processify.py
Last active October 9, 2024 12:18
processify
import os
import sys
import traceback
from functools import wraps
from multiprocessing import Process, Queue
def processify(func):
'''Decorator to run a function as a process.
Be sure that every argument and the return value