vermuz,Mani Ali,github

damian-conway-s-vim-setup

Snapshots of my Vim setup. Open source, but utterly unsupported...and probably dangerous.

danger

🚫 Stop saying "you forgot to …" in code review

dash

Interactive, reactive web apps in pure python :star:

data-science

My notes pertaining to python programming, data analysis and visualization

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-structure-and-algorithms

Every thing related to data structure and algorithms.

data-structure-zoo

An educational repo for students looking to learn about data structures in Python

data-structures-algorithms-level-up-bootcamp

C++ Code Repository.

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

datastructure

This project is all about building a lib for Data Structures and algorithms. The Data Structure part, including List, Tree, Graph, and others. The Algorithm part, including sorting, searching and others. The whole project written with TypeScript and scaffold with Angular-CLI for demo-app.

datastructureandalgorithmicthinkingwithpython

Data Structure And Algorithmic Thinking With Python

db_tutorial

Writing a sqlite clone from scratch in C

decorators-descriptors

Resources for "Decorators and Descriptors Decoded" PyCon US 2017 Tutorial

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepo

A Docker image containing almost all popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.