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Bibhu Bal bibhubal

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bibhubal / gist:43eee5b29136f346d5dc6901ab256953
Created January 21, 2024 13:35 — forked from debasishg/gist:8172796
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
@bibhubal
bibhubal / kodekloud_course_decks.md
Created September 28, 2022 20:32 — forked from debakarr/kodekloud_course_decks.md
Course decks for KodeKloud
@bibhubal
bibhubal / KodeKloud_Scrapper.md
Created September 28, 2022 20:32 — forked from debakarr/KodeKloud_Scrapper.md
Simple Python Script to download KodeKloud Resources

Disclaimer

Please use this only to keep your local copy. Please don't distribute the courses illegally. You will be responsible for the legal consequences.


Steps to follow

  • Sign in to kodekloud.com
  • Right Click -> Inspect -> Go to Network Tab -> Reload -> Select the first resource and copy the cookie:
  • Install Python and then some depencencies (use virtual environment if possible):
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bibhubal / ansible-summary.md
Created March 11, 2022 16:48 — forked from andreicristianpetcu/ansible-summary.md
This is an ANSIBLE Cheat Sheet from Jon Warbrick

An Ansible summary

Jon Warbrick, July 2014, V3.2 (for Ansible 1.7)

Configuration file

intro_configuration.html

First one found from of

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bibhubal / Jenkinsfile
Created July 20, 2021 05:39 — forked from jonico/Jenkinsfile
Example for a full blown Jenkins pipeline script with CodeQL analysis steps, multiple stages, Kubernetes templates, shared volumes, input steps, injected credentials, heroku deploy, sonarqube and artifactory integration, Docker containers, multiple Git commit statuses, PR merge vs branch build detection, REST API calls to GitHub deployment API, …
#!groovy
import groovy.json.JsonOutput
import groovy.json.JsonSlurper
def label = "mypod-${UUID.randomUUID().toString()}"
podTemplate(label: label, yaml: """
spec:
containers:
- name: mvn
image: maven:3.3.9-jdk-8
def getProjectName() {
return 'JenkinsPipeline'
}
def getJDKVersion() {
return 'jdk1.8.0_101'
}
def getMavenConfig() {
return 'maven-config'
@bibhubal
bibhubal / Jenkinsfile
Created July 6, 2021 10:46 — forked from merikan/Jenkinsfile
Some Jenkinsfile examples
Some Jenkinsfile examples