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awesome

:sunglasses: Curated list of awesome lists

awesome-flask

A curated list of awesome Flask resources and plugins

awesome-for-beginners

A list of awesome beginners-friendly projects.

awesome-scientific-python

A curated list of awesome scientific Python resources

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome-threat-modelling

A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.

bangalore

All bangalore related data and hacks. Check http://openbangalore.org

boltons

🔩 Like builtins, but boltons. Constructs/recipes/snippets that would be handy in the standard library. Nothing like Michael Bolton.

byterun

A Python implementation of a Python bytecode runner

c

All Algorithms implemented in C

cheatsheetseries

The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

collocations

N-gram Extraction Approaches (bigrams, trigrams)

coursera_capstone

data-analysis

Data Science Using Python

data-science--cheat-sheet

Cheat Sheets

datascienceprojects

Data Science Initiation

datefinder

Find dates inside text using Python and get back datetime objects

docker-app

dockerandkubernetescoursecode

Course code for the Docker and Kubernetes course: https://codewithdan.com/products/docker-kubernetes

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dsai-gate

A Repository consisting resources primarily of the Gate DA and AI

flask-restplus

Fully featured framework for fast, easy and documented API development with Flask

geoplotlib

python toolbox for visualizing geographical data and making maps

go

The Open Source Data Science Masters

graph-data-science-client

A Python client for the Neo4j Graph Data Science (GDS) library

graph-databases-use-cases

Example use cases from the O'Reilly Graph Databases book

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

high_performance_python

Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly

introducing-erlang-2nd

Code samples from Introducing Erlang, second edition