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Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

awesome-ctf

A curated list of CTF frameworks, libraries, resources and softwares

awesome-for-beginners

A list of awesome beginners-friendly projects.

basicdiscordbot-jda

A Basic discord bot using the JAVA DISCORD API

blog

Blog

ccmake-ds_algo

cmake C algo implementation(Development Phase)

cheatsheets

My cheatsheets

circleci-orbs

The source code for some of the orbs published by CircleCI

codebreak1.0

Codebreak1.0 held on 21st-22nd of December 2019, held by MIT School of Engineering, MIT ADT University, Pune

codetronaut

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

ctf-tools

Some setup scripts for security research tools.

cyquest

datavisualizationpydelhi

Methods of data exploration and visualization using Python :snake:

debian-gnu-linux-profiles

Debian GNU/Linux based Services Profiles

dizzy

an old C++/OpenGL project that shows really beautiful patterns on the screen.

doc_tag_test

This tool basically searches the given word in pdf file hierarchy. It searches one or more keywords in the hierarchy and generates an HTML report of it.

documentarynodejs

dscbvppune.github.io

folio-static

[ Personal website ] This website Template is taken from below link:

frontend-bootcamp

Frontend Workshop from HTML/CSS/JS to TypeScript/React/Redux

gcp-gke-orb

Interact with Google Kubernetes Engine (GKE) from CircleCI

gdgpune_devfest

GDG Pune DevFest Web App

ghc-scholarships

Comprehensive list of scholarships for the Grace Hopper Conference

gitpro

gittest

hacktoberfest2019

for beginners who are going to start with therefirst PR

hello-world

home-sec-auto

Home security by the face detection using Convolutional Neural Network(CNN) as classifier.